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continuous-learning skill

by a5c-ai·a5c-ai/babysitter·1.8k stars·MIT

Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.

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Clean: nothing in its files matched our rules. We read 2 files in the folder on 2026-09-28.

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Install the continuous-learning skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p ~/.claude/skills
cp -r /tmp/babysitter/library/methodologies/everything-claude-code/skills/continuous-learning ~/.claude/skills/continuous-learning
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

  • Analyze code changes and implementation approaches
  • Identify recurring patterns and conventions
  • Extract architectural decisions with rationale
  • Capture error resolution strategies
  • Record tool usage patterns
  • Assign initial confidence scores (0-100)

2. Pattern Evaluation

  • Score generalizability (0-100): cross-project applicability
  • Score reliability (0-100): validation frequency
  • Score impact (0-100): outcome improvement
  • Composite: generalizability 0.3 + reliability 0.4 + impact * 0.3
  • Filter below confidence threshold (default: 75)
  • Merge similar patterns

3. Skill Creation

  • Convert high-confidence patterns to SKILL.md format
  • Write clear instructions with phases
  • Include when-to-use and when-not-to-use sections
  • Add usage examples and agent references
  • Follow kebab-case naming convention

4. Organization

  • Categorize: language-specific, domain, business, meta
  • Resolve naming conflicts
  • Update indexes and manifests
  • Create dependency graphs

5. Version and Export

  • Assign semantic versions by maturity
  • Create portable export bundles
  • Include usage examples and test cases
  • Generate import instructions

Strategic Compaction

  • Analyze context token usage
  • Identify low-value context for compression
  • Archive completed phases to memory files
  • Calculate token savings per suggestion

When to Use

  • End of development sessions
  • After significant code reviews
  • After debugging sessions
  • Periodically during long sessions

Agents Used

  • continuous-learning (custom agent for this skill)
  • context-engineering (compaction analysis)

More skills from a5c-ai/babysitter

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  • Aagent-boosterWASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
  • Aagent-coordinationCoordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
  • Aagent-dispatch
  • Aanti-driftHierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
  • Aarchitecture-design
  • Aarchitecture-patternsSystem and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
  • Aassimilate-popular-workflowsThis skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
  • Aaudit-trail
  • AbabysitOrchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
  • Ababysit-babysitter-issuesThis skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.
  • Abehavior-contractBug condition/postcondition formalization as testable Behavior Contracts. Defines invariants that must be preserved across fixes.

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