sprint-plan▌
Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026
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### Sprint Plan
- ›description: "Generates a new sprint plan or updates an existing one based on the current milestone, completed work, and available capacity. Pulls context from production documents and design backlogs
- ›argument-hint: "[new|update|status] [--review full|lean|solo]"
- ›allowed-tools: Read, Glob, Grep, Write, Edit, Task, AskUserQuestion
| name | sprint-plan |
| description | "Generates a new sprint plan or updates an existing one based on the current milestone, completed work, and available capacity. Pulls context from production documents and design backlogs." |
| argument-hint | "[new|update|status] [--review full|lean|solo]" |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Write, Edit, Task, AskUserQuestion |
| context | | !ls production/sprints/ 2>/dev/null |
Phase 0: Parse Arguments
Extract the mode argument (new, update, or status) and resolve the review mode (once, store for all gate spawns this run):
- If
--review [full|lean|solo]was passed → use that - Else read
production/review-mode.txt→ use that value - Else → default to
lean
See .claude/docs/director-gates.md for the full check pattern.
Phase 1: Gather Context
-
Read the current milestone from
production/milestones/. -
Read the previous sprint (if any) from
production/sprints/to understand velocity and carryover. -
Scan design documents in
design/gdd/for features tagged as ready for implementation. -
Check the risk register at
production/risk-register/.
Phase 2: Generate Output
For new:
Generate a sprint plan following this format and present it to the user. Do NOT ask to write yet — the producer feasibility gate (Phase 4) runs first and may require revisions before the file is written.
# Sprint [N] -- [Start Date] to [End Date]
## Sprint Goal
[One sentence describing what this sprint achieves toward the milestone]
## Capacity
- Total days: [X]
- Buffer (20%): [Y days reserved for unplanned work]
- Available: [Z days]
## Tasks
### Must Have (Critical Path)
| ID | Task | Agent/Owner | Est. Days | Dependencies | Acceptance Criteria |
|----|------|-------------|-----------|-------------|-------------------|
### Should Have
| ID | Task | Agent/Owner | Est. Days | Dependencies | Acceptance Criteria |
|----|------|-------------|-----------|-------------|-------------------|
### Nice to Have
| ID | Task | Agent/Owner | Est. Days | Dependencies | Acceptance Criteria |
|----|------|-------------|-----------|-------------|-------------------|
## Carryover from Previous Sprint
| Task | Reason | New Estimate |
|------|--------|-------------|
## Risks
| Risk | Probability | Impact | Mitigation |
|------|------------|--------|------------|
## Dependencies on External Factors
- [List any external dependencies]
## Definition of Done for this Sprint
- [ ] All Must Have tasks completed
- [ ] All tasks pass acceptance criteria
- [ ] QA plan exists (`production/qa/qa-plan-sprint-[N].md`)
- [ ] All Logic/Integration stories have passing unit/integration tests
- [ ] Smoke check passed (`/smoke-check sprint`)
- [ ] QA sign-off report: APPROVED or APPROVED WITH CONDITIONS (`/team-qa sprint`)
- [ ] No S1 or S2 bugs in delivered features
- [ ] Design documents updated for any deviations
- [ ] Code reviewed and merged
For status:
Generate a status report:
# Sprint [N] Status -- [Date]
## Progress: [X/Y tasks complete] ([Z%])
### Completed
| Task | Completed By | Notes |
|------|-------------|-------|
### In Progress
| Task | Owner | % Done | Blockers |
|------|-------|--------|----------|
### Not Started
| Task | Owner | At Risk? | Notes |
|------|-------|----------|-------|
### Blocked
| Task | Blocker | Owner of Blocker | ETA |
|------|---------|-----------------|-----|
## Burndown Assessment
[On track / Behind / Ahead]
[If behind: What is being cut or deferred]
## Emerging Risks
- [Any new risks identified this sprint]
Phase 3: Write Sprint Status File
After generating a new sprint plan, also write production/sprint-status.yaml.
This is the machine-readable source of truth for story status — read by
/sprint-status, /story-done, and /help without markdown parsing.
Ask: "May I also write production/sprint-status.yaml to track story status?"
Format:
# Auto-generated by /sprint-plan. Updated by /story-done.
# DO NOT edit manually — use /story-done to update story status.
sprint: [N]
goal: "[sprint goal]"
start: "[YYYY-MM-DD]"
end: "[YYYY-MM-DD]"
generated: "[YYYY-MM-DD]"
updated: "[YYYY-MM-DD]"
stories:
- id: "[epic-story, e.g. 1-1]"
name: "[story name]"
file: "[production/stories/path.md]"
priority: must-have # must-have | should-have | nice-to-have
status: ready-for-dev # backlog | ready-for-dev | in-progress | review | done | blocked
owner: ""
estimate_days: 0
blocker: ""
completed: ""
Initialize each story from the sprint plan's task tables:
- Must Have tasks →
priority: must-have,status: ready-for-dev - Should Have tasks →
priority: should-have,status: backlog - Nice to Have tasks →
priority: nice-to-have,status: backlog
For update: read the existing sprint-status.yaml, carry over statuses for
stories that haven't changed, add new stories, remove dropped ones.
Phase 4: Producer Feasibility Gate
Review mode check — apply before spawning PR-SPRINT:
solo→ skip. Note: "PR-SPRINT skipped — Solo mode." Proceed to Phase 5 (QA plan gate).lean→ skip (not a PHASE-GATE). Note: "PR-SPRINT skipped — Lean mode." Proceed to Phase 5 (QA plan gate).full→ spawn as normal.
Before finalising the sprint plan, spawn producer via Task using gate PR-SPRINT (.claude/docs/director-gates.md).
Pass: proposed story list (titles, estimates, dependencies), total team capacity in hours/days, any carryover from the previous sprint, milestone constraints and deadline.
Present the producer's assessment. If UNREALISTIC, revise the story selection (defer stories to Should Have or Nice to Have) before asking for write approval. If CONCERNS, surface them and let the user decide whether to adjust.
After handling the producer's verdict, ask: "May I write this sprint plan to production/sprints/sprint-[N].md?" If yes, write the file, creating the directory if needed. Verdict: COMPLETE — sprint plan created. If no: Verdict: BLOCKED — user declined write.
After writing, add:
Scope check: If this sprint includes stories added beyond the original epic scope, run
/scope-check [epic]to detect scope creep before implementation begins.
Phase 5: QA Plan Gate
Before closing the sprint plan, check whether a QA plan exists for this sprint.
Use Glob to look for production/qa/qa-plan-sprint-[N].md or any file in production/qa/ referencing this sprint number.
If a QA plan is found: note it in the sprint plan output — "QA Plan: [path]" — and proceed.
If no QA plan exists: do not silently proceed. Surface this explicitly:
"This sprint has no QA plan. A sprint plan without a QA plan means test requirements are undefined — developers won't know what 'done' looks like from a QA perspective, and the sprint cannot pass the Production → Polish gate without one.
Run
/qa-plan sprintnow, before starting any implementation. It takes one session and produces the test case requirements each story needs."
Use AskUserQuestion:
- Prompt: "No QA plan found for this sprint. How do you want to proceed?"
- Options:
[A] Run /qa-plan sprint now — I'll do that before starting implementation (Recommended)[B] Skip for now — I understand QA sign-off will be blocked at the Production → Polish gate
If [A]: close with "Sprint plan written. Run /qa-plan sprint next — then begin implementation."
If [B]: add a warning block to the sprint plan document:
> ⚠️ **No QA Plan**: This sprint was started without a QA plan. Run `/qa-plan sprint`
> before the last story is implemented. The Production → Polish gate requires a QA
> sign-off report, which requires a QA plan.
Phase 6: Next Steps
After the sprint plan is written and QA plan status is resolved:
/qa-plan sprint— required before implementation begins — defines test cases per story so developers implement against QA specs, not a blank slate/story-readiness [story-file]— validate a story is ready before starting it/dev-story [story-file]— begin implementing the first story/sprint-status— check progress mid-sprint/scope-check [epic]— verify no scope creep before implementation begins
How to use sprint-plan on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add sprint-plan
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches sprint-plan from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate sprint-plan. Access the skill through slash commands (e.g., /sprint-plan) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★31 reviews- ★★★★★Pratham Ware· Dec 20, 2024
I recommend sprint-plan for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Srinivasan· Dec 20, 2024
We added sprint-plan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Omar Desai· Dec 8, 2024
Keeps context tight: sprint-plan is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Emma Jackson· Nov 27, 2024
sprint-plan is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★James Chen· Nov 19, 2024
I recommend sprint-plan for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yusuf Agarwal· Nov 11, 2024
Useful defaults in sprint-plan — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Emma Park· Oct 18, 2024
sprint-plan fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★James Okafor· Oct 10, 2024
sprint-plan reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ishan Farah· Oct 2, 2024
sprint-plan has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Soo Sanchez· Sep 25, 2024
We added sprint-plan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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