Skills by github

• A
  acquire-codebase-knowledgegithub/awesome-copilot · 39k

  Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

• A
  acreadiness-assessgithub/awesome-copilot · 39k

  Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

• A
  acreadiness-generate-instructionsgithub/awesome-copilot · 39k

  Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

• A
  acreadiness-policygithub/awesome-copilot · 39k

  Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

• A
  ad-campaign-analyzergithub/awesome-copilot · 39k

  Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.

• A
  add-educational-commentsgithub/awesome-copilot · 39k

  Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

• A
  adobe-illustrator-scriptinggithub/awesome-copilot · 39k

  Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.

• A
  agent-architecturegithub/awesome-copilot · 39k

  Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.

• A
  agent-governancegithub/awesome-copilot · 39k

  Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)

• A
  agent-owasp-compliancegithub/awesome-copilot · 39k

  Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"

• A
  agent-skill-stackgithub/awesome-copilot · 39k

  Find, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verified fit, safety, and overlap. Do not use for locating one known or common Skill; use the generic find-skills workflow.

• A
  agent-supply-chaingithub/awesome-copilot · 39k

  Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"

• A
  agentic-evalgithub/awesome-copilot · 39k

  Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality

• A
  agentic-workflowsgithub/awesome-copilot · 39k

  Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.

• A
  ai-prompt-engineering-safety-reviewgithub/awesome-copilot · 39k

  Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.

• A
  ai-readygithub/awesome-copilot · 39k

  Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".

• A
  ai-team-orchestrationgithub/awesome-copilot · 39k

  Bootstrap and run a lightweight multi-agent development team. Use when starting or adopting a project, planning work, coordinating implementation and optional QA, brainstorming with distinct perspectives, or preserving context across sessions.

• C
  anti-ui-slopgithub/awesome-copilot · 39k

  Stop coding agents from shipping generic UI. Use UIZZE''s 800,000+ real web and iOS screens to build product-specific interfaces, define a design contract, cover required states, and run a hard finish gate. Use when designing, implementing, redesigning, critiquing, or pre-ship reviewing a web or iOS interface in Codex, Claude Code, Cursor, Copilot, or another coding agent. Trigger with "anti-ui-slop", "stop UI slop", "ground this UI in real screens", or "run the UI finish gate".

• A
  api-breaking-change-detectorgithub/awesome-copilot · 39k

  Cross-references C# Web API controllers/DTOs against their TypeScript/JavaScript consumers (React, Angular, Vue, Svelte, Node.js, or hand-written/auto-generated HTTP clients like Fetch, Axios, NSwag) to catch contract drift in both directions: backend changes that break client applications (renamed/removed JSON keys, new required parameters, status code shifts) and frontend code sending fields the backend no longer reads. Works directly against source code, not exported OpenAPI spec files. Use when the user asks to check for breaking API changes, verify frontend/backend contract sync, or audit a DTO/controller change against its TypeScript/JS consumers before merging. Not for generating new API code from a spec (see openapi-to-application-code) or scaffolding new endpoints (see aspnet-minimal-api-openapi).

• A
  appinsights-instrumentationgithub/awesome-copilot · 39k

  Instrument a webapp to send useful telemetry data to Azure App Insights

• A
  apple-appstore-reviewergithub/awesome-copilot · 39k

  Serves as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.

• A
  arch-linux-triagegithub/awesome-copilot · 39k

  Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.

• A
  architecture-blueprint-generatorgithub/awesome-copilot · 39k

  Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development.

• A
  arduino-azure-iot-edge-integrationgithub/awesome-copilot · 39k

  Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails.

• A
  arize-ai-provider-integrationgithub/awesome-copilot · 39k

  Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.

• A
  arize-annotationgithub/awesome-copilot · 39k

  Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.

• A
  arize-datasetgithub/awesome-copilot · 39k

  Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.

• A
  arize-evaluatorgithub/awesome-copilot · 39k

  Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.

• A
  arize-experimentgithub/awesome-copilot · 39k

  Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.

• A
  arize-instrumentationgithub/awesome-copilot · 39k

  Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.

• A
  arize-linkgithub/awesome-copilot · 39k

  Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.

• A
  arize-prompt-optimizationgithub/awesome-copilot · 39k

  Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.

• A
  arize-tracegithub/awesome-copilot · 39k

  Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.

• F
  aspiregithub/awesome-copilot · 39k

  Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.

• A
  aspnet-minimal-api-openapigithub/awesome-copilot · 39k

  Create ASP.NET Minimal API endpoints with proper OpenAPI documentation

• A
  audit-integritygithub/awesome-copilot · 39k

  Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, ≥8 threshold), and a self-learning system with lesson/memory governance for security analysis agents.

• A
  automate-thisgithub/awesome-copilot · 39k

  Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.

• A
  autoresearchgithub/awesome-copilot · 39k

  Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.

• A
  aws-cdk-python-setupgithub/awesome-copilot · 39k

  Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.

• A
  aws-cloudwatch-investigationgithub/awesome-copilot · 39k

  Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage.

• A
  aws-cost-optimizegithub/awesome-copilot · 39k

  Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations.

• A
  aws-resource-health-diagnosegithub/awesome-copilot · 39k

  Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.

• A
  aws-resource-querygithub/awesome-copilot · 39k

  Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.

• A
  aws-well-architected-reviewgithub/awesome-copilot · 39k

  Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.

• A
  az-cost-optimizegithub/awesome-copilot · 39k

  Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.

• C
  azure-architecture-autopilotgithub/awesome-copilot · 39k

  Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep.

• C
  azure-container-registry-cligithub/awesome-copilot · 39k

  Manage Azure Container Registry via the az acr CLI including registries, images, cloud builds, ACR Tasks, authentication, tokens, geo-replication, and networking. Use when working with ACR, az acr commands, pushing/importing/purging container images in Azure, or when the user mentions Azure Container Registry.

• A
  azure-deployment-preflightgithub/awesome-copilot · 39k

  Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.

• A
  azure-developer-cligithub/awesome-copilot · 39k

  Design, create, review, migrate, or troubleshoot Azure Developer CLI (azd) projects using current Microsoft guidance. Use for azd, azure.yaml, AZD templates, Bicep or Terraform under infra, AZD environments and secrets, hooks, deployment workflows, and azd-managed CI/CD.

• C
  azure-devops-cligithub/awesome-copilot · 39k

  Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.

• A
  azure-pricinggithub/awesome-copilot · 39k

  Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.

• A
  azure-resource-health-diagnosegithub/awesome-copilot · 39k

  Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

• A
  azure-resource-visualizergithub/awesome-copilot · 39k

  Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.

• A
  azure-role-selectorgithub/awesome-copilot · 39k

  When user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.

• A
  azure-smart-city-iot-solution-buildergithub/awesome-copilot · 39k

  Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.

• A
  azure-static-web-appsgithub/awesome-copilot · 39k

  Helps create, configure, and deploy Azure Static Web Apps using the SWA CLI. Use when deploying static sites to Azure, setting up SWA local development, configuring staticwebapp.config.json, adding Azure Functions APIs to SWA, or setting up GitHub Actions CI/CD for Static Web Apps.

• A
  azure-well-architected-reviewgithub/awesome-copilot · 39k

  Perform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.

• A
  batch-filesgithub/awesome-copilot · 39k

  Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to "create a batch file", "write a .bat script", "automate a Windows task", "CMD scripting", "batch automation", "scheduled task script", "Windows shell script", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system tools.

• A
  bench-readgithub/awesome-copilot · 39k

  Read artifacts from the shared bench — the workspace where desks leave findings, verdicts, and work products for each other and the operator.

• A
  bigquery-pipeline-auditgithub/awesome-copilot · 39k

  Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.

• A
  boost-promptgithub/awesome-copilot · 39k

  Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.

• A
  brag-sheetgithub/awesome-copilot · 39k

  Turn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments.

• A
  breakdown-epic-archgithub/awesome-copilot · 39k

  Prompt for creating the high-level technical architecture for an Epic, based on a Product Requirements Document.

• A
  breakdown-epic-pmgithub/awesome-copilot · 39k

  Prompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.

• A
  breakdown-feature-implementationgithub/awesome-copilot · 39k

  Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.

• A
  breakdown-feature-prdgithub/awesome-copilot · 39k

  Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.

• A
  breakdown-plangithub/awesome-copilot · 39k

  Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.

• A
  breakdown-testgithub/awesome-copilot · 39k

  Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.

• A
  bug-receiptgithub/awesome-copilot · 39k

  Close defects and incidents with a BUG RECEIPT and VERIFIED, PARTIAL, or BLOCKED status after diagnosis, repair, or recovery.

• A
  bug-reproduction-briefgithub/awesome-copilot · 39k

  Turn a vague, intermittent, or environment-specific bug report into a minimal evidence-backed reproduction before proposing a fix.

• A
  build-evidence-mapgithub/awesome-copilot · 39k

  Build an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot must preserve supporting, contradicting, qualifying, and missing evidence with exact source regions instead of collapsing disagreement into prose.

• A
  centos-linux-triagegithub/awesome-copilot · 39k

  Triage and resolve CentOS issues using RHEL-compatible tooling, SELinux-aware practices, and firewalld.

• A
  chrome-devtoolsgithub/awesome-copilot · 39k

  Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.

• A
  cli-masterygithub/awesome-copilot · 39k

  Interactive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say "cliexpert" to start.

• A
  cloud-design-patternsgithub/awesome-copilot · 39k

  Cloud design patterns for distributed systems architecture covering 42 industry-standard patterns across reliability, performance, messaging, security, and deployment categories. Use when designing, reviewing, or implementing distributed system architectures.

• A
  code-exemplars-blueprint-generatorgithub/awesome-copilot · 39k

  Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.

• A
  code-reviewgithub/awesome-copilot · 39k

  Review pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot.

• C
  code-tourgithub/awesome-copilot · 39k

  Use this skill to create CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: "create a tour", "make a code tour", "generate a tour", "onboarding tour", "tour for this PR", "tour for this bug", "RCA tour", "architecture tour", "explain how X works", "vibe check", "PR review tour", "contributor guide", "help someone ramp up", or any request for a structured walkthrough through code. Supports 20 developer personas (new joiner, bug fixer, architect, PR reviewer, vibecoder, security reviewer, and more), all CodeTour step types (file/line, selection, pattern, uri, commands, view), and tour-level fields (ref, isPrimary, nextTour). Works with any repository in any language.

• A
  codebase-memory-mcpgithub/awesome-copilot · 39k

  Use when exploring unfamiliar code, mapping architecture, finding symbols or relationships, tracing callers, callees, data flow or dependencies, assessing impact, auditing dead or complex code, or handling explicit Codebase Memory requests. Otherwise skip tasks confined to a supplied known file, tiny one-file check, exact literal, configuration value, error string, or non-code text.

• A
  codeqlgithub/awesome-copilot · 39k

  Comprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis.

• A
  comment-code-generate-a-tutorialgithub/awesome-copilot · 39k

  Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.

• A
  commit-message-storytellergithub/awesome-copilot · 39k

  Analyzes git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed — following Conventional Commits format. Use when asked to "write a commit message", "generate a commit", "describe my changes", "what should I commit this as", "commit this", "summarize my diff", or "help me commit". Works with git diff output, staged files, or plain descriptions of changes.

• A
  competitor-ad-intelligencegithub/awesome-copilot · 39k

  Use this skill when the user asks to analyze, tear down, or reverse-engineer a competitor''s paid ads. Trigger for prompts like "what ads is [competitor] running", "tear down their ad strategy", "competitor ad analysis", "find ad angles we haven''t tried", or "reverse-engineer their paid funnel". Do not trigger for organic/SEO competitor research or website positioning analysis.

• A
  containerize-aspnet-frameworkgithub/awesome-copilot · 39k

  Containerize an ASP.NET .NET Framework project by creating Dockerfile and .dockerfile files customized for the project.

• A
  containerize-aspnetcoregithub/awesome-copilot · 39k

  Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.

• A
  content-management-systemsgithub/awesome-copilot · 39k

  Workflow for building and modifying content management systems across WordPress, Shopify, Wix, Squarespace, Drupal, WooCommerce, Joomla, HubSpot CMS Hub, Webflow, Adobe Experience Manager, and similar platforms. Use when working on CMS themes, plugins, apps, modules, admin panels, media uploads, content models, editors, markdown pipelines, or static export workflows.

• A
  context-mapgithub/awesome-copilot · 39k

  Generate a map of all files relevant to a task before making changes

• A
  conventional-branchgithub/awesome-copilot · 39k

  Create Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.

• A
  conventional-commitgithub/awesome-copilot · 39k

  Prompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.

• A
  convert-excel-to-mdgithub/awesome-copilot · 39k

  Converts Excel (.xlsx) workbooks into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .xlsx file — even if they don''t say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", "chart", or "analyze" a spreadsheet, workbook, budget, data export, or tracker. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .xlsx content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of Excel workbooks. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.

• A
  convert-pdf-to-mdgithub/awesome-copilot · 39k

  Converts PDF (.pdf) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .pdf file — even if they don''t say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a PDF report, paper, invoice, form, contract, or scanned document. Always run the bundled conversion script to produce Markdown first; do not attempt to parse PDF content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of PDF documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.

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  convert-plaintext-to-mdgithub/awesome-copilot · 39k

  Convert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.

• A
  convert-word-to-mdgithub/awesome-copilot · 39k

  Converts Word (.docx) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .docx file — even if they don''t say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a Word document, resume, report, contract, or proposal. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .docx content directly or write ad-hoc conversion code. Also use this skill for batch requests involving a whole folder of Word documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.

• A
  copilot-cli-quickstartgithub/awesome-copilot · 39k

  Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation).

• A
  copilot-instructions-blueprint-generatorgithub/awesome-copilot · 39k

  Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.

• A
  copilot-pr-autopilotgithub/awesome-copilot · 39k

  Copilot left 14 review comments on your PR — half are nits. Hours of fix → reply → resolve → re-request, and each round lands MORE comments. This skill runs loop engineering: auto-triggers Copilot Code Review via GraphQL (no @copilot mention), triages every open thread (Copilot, humans, advanced-security) with a fix / decline / escalate rubric, dispatches parallel fix sub-agents that obey the repo build/test/lint conventions, commits per iteration, replies+resolves citing the pushed SHA, then re-triggers until HEAD is reviewed with zero threads awaiting the agent''s reply (remaining open threads are explicit hand-offs to the human — escalated declines, design tradeoffs). You merge a clean PR; the bot runs it. Trigger phrases: "address copilot comments", "run a copilot review loop", "fix this PR", "iterate on copilot feedback". Repo-agnostic, gh CLI + PowerShell. Full autopilot needs repo Triage/Write; external PR authors get single-iteration mode plus manual re-trigger (UI 🔄 or substantive-commit push).

• C
  copilot-sdkgithub/awesome-copilot · 39k

  Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.

• A
  copilot-spacesgithub/awesome-copilot · 39k

  Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.

• A
  copilot-usage-metricsgithub/awesome-copilot · 39k

  Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.

• A
  cosmosdb-datamodelinggithub/awesome-copilot · 39k

  Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file

• A
  create-agentsmdgithub/awesome-copilot · 39k

  Prompt for generating an AGENTS.md file for a repository

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  create-architectural-decision-recordgithub/awesome-copilot · 39k

  Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.

• A
  create-canvas-extensiongithub/awesome-copilot · 39k

  Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.

• A
  create-github-action-workflow-specificationgithub/awesome-copilot · 39k

  Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.

• A
  create-github-issue-feature-from-specificationgithub/awesome-copilot · 39k

  Create GitHub Issue for feature request from specification file using feature_request.yml template.

• A
  create-github-issues-feature-from-implementation-plangithub/awesome-copilot · 39k

  Create GitHub Issues from implementation plan phases using feature_request.yml or chore_request.yml templates.

• A
  create-github-issues-for-unmet-specification-requirementsgithub/awesome-copilot · 39k

  Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.

• A
  create-implementation-plangithub/awesome-copilot · 39k

  Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.

• A
  create-llmsgithub/awesome-copilot · 39k

  Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/

• A
  create-readmegithub/awesome-copilot · 39k

  Create a README.md file for the project

• A
  create-specificationgithub/awesome-copilot · 39k

  Create a new specification file for the solution, optimized for Generative AI consumption.

• A
  create-spring-boot-java-projectgithub/awesome-copilot · 39k

  Create Spring Boot Java Project Skeleton

• A
  create-spring-boot-kotlin-projectgithub/awesome-copilot · 39k

  Create Spring Boot Kotlin Project Skeleton

• A
  create-technical-spikegithub/awesome-copilot · 39k

  Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.

• A
  create-tldr-pagegithub/awesome-copilot · 39k

  Create a tldr page from documentation URLs and command examples, requiring both URL and command name.

• A
  creating-oracle-to-postgres-master-migration-plangithub/awesome-copilot · 39k

  Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.

• A
  creating-oracle-to-postgres-migration-bug-reportgithub/awesome-copilot · 39k

  Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.

• A
  creating-oracle-to-postgres-migration-integration-testsgithub/awesome-copilot · 39k

  Creates integration test cases targeting Oracle for .NET data access artifacts. Tests capture Oracle expected behavior as the authoritative baseline; they are written once and later ported to PostgreSQL by migrating the test project in Phase 6. Use only during Phase 3, before any PostgreSQL migration work has begun. Do not invoke during Phase 6 or against a project that has already been migrated.

• A
  csharp-asyncgithub/awesome-copilot · 39k

  Get best practices for C# async programming

• A
  csharp-docsgithub/awesome-copilot · 39k

  Ensure that C# types are documented with XML comments and follow best practices for documentation.

• A
  csharp-mstestgithub/awesome-copilot · 39k

  Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests

• A
  csharp-nunitgithub/awesome-copilot · 39k

  Get best practices for NUnit unit testing, including data-driven tests

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  csharp-tunitgithub/awesome-copilot · 39k

  Get best practices for TUnit unit testing, including data-driven tests

• A
  csharp-xunitgithub/awesome-copilot · 39k

  Get best practices for XUnit unit testing, including data-driven tests

• A
  d365-solution-blueprintgithub/awesome-copilot · 39k

  Authors a Dynamics 365 Finance and Supply Chain Management Solution Blueprint from scratch through a structured, section-by-section architect interview, establishing scope, target operating model, application and data architecture, integration landscape, migration strategy, security model, ALM, testing, deployment, and support approach, with a decision log capturing rationale and rejected alternatives. Use when the user wants to create D365 implementation architecture documentation, start a D365 implementation, design the architecture, prepare a Solution Blueprint, or identify the architectural decisions the programme must make. Do not use for critique of an existing design; that is a review task rather than blueprint authoring.

• A
  daily-focus-boardgithub/awesome-copilot · 39k

  Spin up a personal, motivating daily focus board that renders in a browser canvas and that the user drives by talking to their AI partner. Tasks track status (to-do → in progress → done) with timestamped progress notes and roll up into a "today''s momentum" feed; numeric-goal tasks (pages, pomodoros, reps) render as progress-bar counters. Executive-function / neurodivergent-friendly by design: Focus mode, kind "not today" carryover (no overdue-shaming), a brain-dump box, reduced-motion, and gentle deadline countdowns. Add, reorder, and relabel tasks live, assign Eisenhower priority (Do first / Schedule / Delegate / Later), open with an above/below-the-line check-in and a daily mantra, and save an end-of-day recap. Use when someone wants to plan their day, stay focused, kick off a work session, or track progress. Progress persists in the browser (localStorage).

• A
  daily-prepgithub/awesome-copilot · 39k

  Prepare for tomorrow''s meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.

• A
  data-breach-blast-radiusgithub/awesome-copilot · 39k

  Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sourced verbatim from GDPR Art. 83, CCPA § 1798.155(a), and HIPAA 45 CFR § 160.404. Cost benchmarks from IBM Cost of a Data Breach Report (annually updated). All citations in references/SOURCES.md for verification. Use when asked: "assess breach impact", "what data could be exposed", "calculate blast radius", "data exposure analysis", "how bad would a breach be", "quantify data risk", "sensitive data inventory", "data flow security audit", "pre-breach assessment", "worst-case breach scenario", "breach readiness", "data risk report", "/data-breach-blast-radius". For any stack handling user data, health records, or financial information. Output labels law-sourced figures (exact) vs heuristic estimates (planning only). Does not replace legal counsel.

• A
  datanalysis-credit-riskgithub/awesome-copilot · 39k

  Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.

• A
  dataverse-python-advanced-patternsgithub/awesome-copilot · 39k

  Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

• A
  dataverse-python-production-codegithub/awesome-copilot · 39k

  Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

• A
  dataverse-python-quickstartgithub/awesome-copilot · 39k

  Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.

• A
  dataverse-python-usecase-buildergithub/awesome-copilot · 39k

  Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations

• A
  debian-linux-triagegithub/awesome-copilot · 39k

  Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.

• A
  declarative-agentsgithub/awesome-copilot · 39k

  Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration

• A
  dependabotgithub/awesome-copilot · 39k

  Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot. For pre-commit dependency vulnerability scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when an agent needs to scan dependencies for known vulnerabilities before committing.

• A
  desk-journalgithub/awesome-copilot · 39k

  Write, append, or read desk journal entries. The journal is persistent memory — what survives session boundaries. A good entry has: what was done, current state, next step.

• A
  desk-opengithub/awesome-copilot · 39k

  Create and open a new desk in the workshop. Sets up the folder structure, initial journal, and desk identity so the next session that sits down finds the trail.

• A
  devops-rollout-plangithub/awesome-copilot · 39k

  Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes

• A
  diagnosegithub/awesome-copilot · 39k

  Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.

• A
  doc-and-modernizegithub/awesome-copilot · 39k

  Two related workflows for a locally-cloned codebase, in one skill. Documentation mode produces a single, comprehensive, verifiable architecture document primarily by reading files on disk (local-first) — use it whenever the user wants to understand, map, document, research, or onboard onto a codebase ("research this repo", "write up the architecture", "do an architecture deep dive", "document how this codebase works", "map the system design", "create an onboarding doc"). Modernization mode generates a phased plan to modernize, migrate, upgrade, or rewrite a legacy system ("modernize this", "plan the migration", "how would we rewrite this", "how do we get off this legacy stack"); if no architecture document exists yet it first runs Documentation mode, then continues straight through to the plan. It assumes the legacy stack may be dead, runs a time-boxed feasibility spike, and picks the highest achievable rung on a safety ladder instead of demanding a fully-green legacy CI gate up front.

• A
  docs-sync-auditgithub/awesome-copilot · 39k

  Run a read-only documentation drift audit for a feature, PR, branch, release, API, configuration change, workflow, CLI, package, or repository area. Use when the user asks whether docs are stale, missing, inconsistent with code, or need updates after code changes. Checks README files, setup guides, API docs, env docs, changelogs, examples, comments, generated docs, and user-facing instructions. This is not a general code review; it compares what the docs claim against what the code does.

• A
  documentation-writergithub/awesome-copilot · 39k

  Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.

• A
  dotnet-best-practicesgithub/awesome-copilot · 39k

  Ensure .NET/C# code meets best practices for the solution/project.

• A
  dotnet-design-pattern-reviewgithub/awesome-copilot · 39k

  Review the C#/.NET code for design pattern implementation and suggest improvements.

• A
  dotnet-mcp-buildergithub/awesome-copilot · 39k

  Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 2.x NuGet packages. Helps with cases the model gets wrong without guidance — stale versions (0.x preview or 1.x-era defaults), the v2 stateless-by-default HTTP flip, the 2026-07-28 spec deprecations (roots/sampling/logging), MCP Apps and Tasks extension packages, elicitation URL mode, per-session HTTP wiring, OAuth and reverse-proxy deploy specifics, and debugging MapMcp / STDIO / Streamable-HTTP errors. Also covers STDIO and Streamable HTTP transports (SSE is deprecated), tools, prompts, resources, completions, and a basic .NET MCP client. Trigger when the user says or implies any .NET MCP server work: ModelContextProtocol, McpServerTool, MapMcp, WithStdioServerTransport, "MCP server in C#", "MCP tool in dotnet", "expose this as MCP", or names a primitive (prompt/resource/elicitation/MCP App) in a .NET context. Skip for MCP work in other languages.

• A
  dotnet-timezonegithub/awesome-copilot · 39k

  .NET timezone handling guidance for C# applications. Use when working with TimeZoneInfo, DateTimeOffset, NodaTime, UTC conversion, daylight saving time, scheduling across timezones, cross-platform Windows/IANA timezone IDs, or when a .NET user needs the timezone for a city, address, region, or country and copy-paste-ready C# code.

• A
  dotnet-upgradegithub/awesome-copilot · 39k

  Ready-to-use prompts for comprehensive .NET framework upgrade analysis and execution

• A
  doublecheckgithub/awesome-copilot · 39k

  Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.

• A
  draw-io-diagram-generatorgithub/awesome-copilot · 39k

  Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.

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