sprint-planner
Skill3 starsChanged 4 months agoMITView on GitHub
Plan a development sprint: select stories, define sprint goal, estimate capacity, and produce a sprint backlog with risk buffer. Use when working on product discovery, PRDs, user stories, OKRs, or backlog planning.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- sunholo-data/ailangtheir own version, first seen Nov 6, 2026
- roborracle/agent-workflow-kittheir own version, first seen Aug 11, 2026
- hamzafarooq/claude-code-startertheir own version, first seen May 8, 2026
- SkyWalker2506/ccplugin-sprint-plannertheir own version, first seen Apr 22, 2026
- aakashg/pm-claude-code-setuptheir own version, first seen Mar 4, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- aakashg/pm-claude-code-setup★ 152same name
- hamzafarooq/claude-code-starter★ 145same name
- sunholo-data/ailang★ 38same name
- roborracle/agent-workflow-kit★ 0same name
- SkyWalker2506/ccplugin-sprint-planner★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository59 other files it gives its agents.
- agent-memory-designerSkill
- ai-cost-optimizerSkill
- ai-evaluation-builderSkill
- ai-latency-optimizerSkill
- ai-solution-architectSkill
- ai-workflow-builderSkill
- context-engineeringSkill
- human-in-the-loop-designerSkill
- multi-agent-plannerSkill
- prompt-engineerSkill
- prompt-optimizerSkill
- prompt-reviewerSkill
- adr-generatorSkill
- api-designerSkill
- architecture-reviewSkill
- component-diagram-builderSkill
- container-diagram-builderSkill
- data-flow-analyzerSkill
- integration-plannerSkill
- observability-plannerSkill
- scalability-advisorSkill
- solution-architectureSkill
- system-context-builderSkill
- experiment-designerSkill
- go-to-market-plannerSkill
- pricing-strategy-advisorSkill
- mcp-best-practicesSkill
- mcp-client-generatorSkill
- mcp-security-reviewSkill
- mcp-server-generatorSkill
- mcp-tool-generatorSkill
- acceptance-criteria-generatorSkill
- analytics-instrumentation-plannerSkill
- competitive-analysisSkill
- epic-generatorSkill
- feature-prioritizationSkill
- idea-validatorSkill
- north-star-metric-advisorSkill
- okr-builderSkill
- persona-generatorSkill
- prd-generatorSkill
- problem-statement-builderSkill
- product-discovery-assistantSkill
- product-vision-builderSkill
- story-mappingSkill
- user-story-generatorSkill
- value-proposition-designerSkill
- chunking-strategy-advisorSkill
- embedding-strategy-advisorSkill
- hybrid-search-advisorSkill
- knowledge-ingestion-plannerSkill
- rag-architecture-designerSkill
- retriever-optimizerSkill
- ai-governance-advisorSkill
- ai-threat-modelingSkill
- guardrails-builderSkill
- owasp-llm-reviewerSkill
- prompt-injection-detectorSkill
- skill-nameSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 46
Check INVEST and acceptance criteria completeness
- Distinctive: line 54
Commit to 70–80% of capacity (buffer for unknowns)
- Distinctive: line 64
Must be achievable with committed backlog.
- Distinctive: line 116
Prefer completing fewer stories over starting many.
- Distinctive: line 118
Use velocity from last 3 sprints if available.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Sprint Planner
Purpose
Plan a development sprint: select stories, define sprint goal, estimate capacity, and produce a sprint backlog with risk buffer.
Input: Prioritized backlog (user stories/epics), team capacity, sprint duration, OKRs (optional)
Output: Sprint plan with goal, committed backlog, capacity allocation, and risks
Examples: See examples.md for worked input/output.
Workflow
Step 1: Define sprint parameters
Confirm:
- Sprint duration (1–4 weeks)
- Team members and availability (vacations, meetings)
- Sprint goal candidate (from OKR or epic)
Step 2: Calculate capacity
| Team member | Available days | Focus factor | Effective days |
Focus factor: 0.6–0.8 (accounts for meetings, support).
Convert to story points or hours based on team convention.
Step 3: Select backlog items
From prioritized backlog:
- Select stories aligned with sprint goal
- Check INVEST and acceptance criteria completeness
- Identify dependencies between stories
| Story ID | Title | Size | Priority | Dependencies |
Step 4: Apply capacity guardrails
- Commit to 70–80% of capacity (buffer for unknowns)
- Flag if committed > capacity
- Identify stretch goals (below the commitment line)
Step 5: Define sprint goal
One sentence:
"This sprint we will [outcome] so that [benefit]."
Must be achievable with committed backlog.
Step 6: Document risks
| Risk | Impact | Mitigation |
Step 7: Validate
Run Validation checklist.
Decision Rules
| Condition | Action |
| No sized stories | Use T-shirt sizes; flag sizing session needed |
| Committed > capacity | Move lowest priority stories to stretch or next sprint |
| Stories lack acceptance criteria | Flag; run acceptance-criteria-generator before commit |
| No sprint goal | Derive from highest priority epic or OKR |
| Critical dependency unresolved | Do not commit dependent story |
Validation
- Sprint duration and capacity calculated
- Sprint goal stated in outcome format
- Committed backlog ≤ 80% capacity
- All committed stories have size estimates
- Dependencies documented
- Stretch goals separated from commitment
- ≥2 sprint risks with mitigations
- Alignment with OKR/epic noted if applicable
Anti-patterns
- 100% capacity — no buffer for interrupts.
- Sprint goal = story list — "complete US-1, US-2" instead of outcome.
- Unsized commitment — pulling stories without estimates.
- Scope creep mid-planning — adding stories after capacity full.
- Ignoring dependencies — committing to blocked stories.
Best Practices
- Sprint goal should be demo-able at review.
- Include refinement time in capacity calculation.
- Prefer completing fewer stories over starting many.
- Align selection with OKR key results.
- Use velocity from last 3 sprints if available.
Output Structure
# Sprint Plan: Sprint [N] — [Dates]
## Sprint Goal
[One sentence outcome]
## Capacity
| Member | Days | Focus | Effective | Points |
|--------|------|-------|-----------|--------|
| **Total** | | | | X |
| **Commit limit (80%)** | | | | Y |
## Committed Backlog
| ID | Story | Size | KR/Epic ref |
|----|-------|------|-------------|
## Stretch Goals
| ID | Story | Size |
|----|-------|------|
## Dependencies
[Story A] blocks [Story B]
## Risks
| Risk | Mitigation |
|------|------------|
## Definition of Done
- [ ] [Team DoD items]Next Skills
| Outcome | Recommended Skill |
| Missing acceptance criteria | product/acceptance-criteria-generator |
| Need more stories | product/user-story-generator |
| Re-prioritize backlog | product/feature-prioritization |
| Quarterly planning | product/okr-builder |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

