Mmcp.market

sprint-plan skill

by phuryn·phuryn/pm-skills·27k stars·MIT

Plan a sprint with capacity estimation, story selection, dependency mapping, and risk identification. Use when preparing for sprint planning, estimating team capacity, selecting stories, or balancing sprint scope against velocity.

A100/100content scan

Is the sprint-plan skill safe?

Clean: nothing in its files matched our rules. We read 1 file in the folder on 2026-09-28.

No findings.

Install the sprint-plan 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/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p ~/.claude/skills
cp -r /tmp/pm-skills/pm-execution/skills/sprint-plan ~/.claude/skills/sprint-plan
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

Sprint Planning

Plan a sprint by estimating team capacity, selecting and sequencing stories, and identifying risks.

Context

You are helping plan a sprint for $ARGUMENTS.

If the user provides files (backlogs, velocity data, team rosters, or previous sprint reports), read them first.

Instructions

  1. Estimate team capacity:
  • Number of team members and their availability (PTO, meetings, on-call)
  • Historical velocity (average story points per sprint from last 3 sprints)
  • Capacity buffer: reserve 15-20% for unexpected work, bugs, and tech debt
  • Calculate available capacity in story points or ideal hours
  1. Review and select stories:
  • Pull from the prioritized backlog (highest priority first)
  • Verify each story meets the Definition of Ready (clear AC, estimated, no blockers)
  • Flag stories that need refinement before committing
  • Stop adding stories when capacity is reached
  1. Map dependencies:
  • Identify stories that depend on other stories or external teams
  • Sequence dependent stories appropriately
  • Flag external dependencies and owners
  • Identify the critical path
  1. Identify risks and mitigations:
  • Stories with high uncertainty or complexity
  • External dependencies that could slip
  • Knowledge concentration (only one person can do it)
  • Suggest mitigations for each risk
  1. Create the sprint plan summary:
Sprint Goal: [One sentence describing what success looks like]
   Duration: [2 weeks / 1 week / etc.]
   Team Capacity: [X story points]
   Committed Stories: [Y story points across Z stories]
   Buffer: [remaining capacity]

   Stories:
   1. [Story title] — [points] — [owner] — [dependencies]
   ...

   Risks:
   - [Risk] → [Mitigation]
  1. Define the sprint goal: A single, clear sentence that captures the sprint's primary value delivery.

Think step by step. Save as markdown.

Further Reading

  • Product Owner vs Product Manager: What's the difference?

More skills from phuryn/pm-skills

  • Aab-test-analysisAnalyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
  • Aanalyze-feature-requestsAnalyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions.
  • Aansoff-matrixGenerate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.
  • Abeachhead-segmentIdentify the first beachhead market segment for a product launch. Evaluates segments against burning pain, willingness to pay, winnable market share, and referral potential. Use when choosing a first market, targeting an initial customer segment, or planning market entry strategy.
  • Abrainstorm-experiments-existingDesign experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.
  • Abrainstorm-experiments-newDesign lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.
  • Abrainstorm-ideas-existingBrainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a product trio.
  • Abrainstorm-ideas-newBrainstorm feature ideas for a new product in initial discovery from PM, Designer, and Engineer perspectives. Use when starting product discovery for a new product, exploring features for a startup idea, or doing initial ideation.
  • Abrainstorm-okrsBrainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs.
  • Abusiness-modelGenerate a Business Model Canvas with all 9 building blocks. Use when creating a business model, documenting how a business creates value, or analyzing an existing business model.
  • Acode-reviewReview code for actionable defects. Correctness is the core; performance and security are optional sub-cases of the same engine. Anchors on agreements between participants across a boundary, forces a violating execution, and refutes every candidate before reporting. Use when asked to review changes, find bugs, audit a codebase, or check whether a fix is safe.
  • Acohort-analysisPerform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.

All agent skills → · MCP servers