managing-feature-plans
Standardizes feature plan documentation, from initial creation to archive.
Install
mkdir -p .claude/skills/managing-feature-plans && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14460" && unzip -o skill.zip -d .claude/skills/managing-feature-plans && rm skill.zipInstalls to .claude/skills/managing-feature-plans
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Create, review, update, and archive feature plan documents. Use when starting a new feature, assessing progress, refining requirements, or marking a plan complete.Key capabilities
- →Create feature plan documents from a template.
- →Detect missing or ambiguous requirements in plans.
- →Edit sections of existing feature plans.
- →Maintain TODO/DONE lists and changelogs.
- →Archive completed feature plans.
- →Validate uniqueness of feature names.
How it works
This skill manages feature plan documents by creating them from templates, detecting issues like missing requirements, allowing edits to various sections, and archiving plans upon completion after verifying all criteria are met.
Inputs & outputs
When to use managing-feature-plans
- →Start new feature plan
- →Review requirements
- →Archive completed features
About this skill
When to use this skill
- Start, scope, or refine a new feature plan.
- Review progress, unblock development, or update an existing plan.
- Audit a plan for missing requirements, unclear TODOs, or missing references.
- Mark a plan as complete and archive it.
Do not use this skill for
- Project-level roadmaps or long-lived strategy documents (use the roadmap-skill).
- Ad-hoc notes or meeting minutes that won't be maintained as a plan.
Why use this skill
- Standardizes feature plans in doc/plan/ so they are discoverable and actionable.
- Keeps TODOs, milestones, and acceptance criteria explicit and trackable.
- Automates safe archival of completed plans.
Key features
- Create a feature plan
- Create doc/plan/{feature-name}-plan.md from doc/plan/plan-template.md (or fallback template).
- Enforce kebab-case names: {feature-name}-plan.md (e.g. storage-interface-plan.md).
- Review and update
- Detect missing or ambiguous requirements, TODOs, acceptance criteria, and references.
- Edit plan sections: Goals, Non-goals, Requirements, Design, Milestones, Tasks, Risks, Dependencies.
- Maintain TODO/DONE lists and a changelog for completed items (with timestamps where applicable).
- Archive
- Verify completion (no open TODOs, acceptance criteria satisfied) and move the plan to doc/plan/archived/{feature-name}-plan.md.
- Add a completion stamp (date + short summary) to the archived file.
- Helper: python archive_plan.py {feature-name}
How it works (runtime behavior)
- Resolve feature name
- Normalize user input to kebab-case and validate uniqueness.
- If ambiguous, propose clearer names and ask for confirmation.
- Locate or create plan
- If doc/plan/{feature-name}-plan.md exists: open it for review and updates.
- If missing: create it from doc/plan/plan-template.md or a minimal inline template and populate the header.
- Review and edit
- Ensure sections are present and actionable (Goals, Non-goals, Requirements, Acceptance Criteria).
- Convert vague items into concrete TODOs with owners, estimates, and explicit acceptance criteria where possible.
- Move completed checklist items to the changelog with timestamps and author.
- Archive when complete
- Preconditions: no open TODOs blocking release, all acceptance criteria marked PASS (or linked to verification evidence), and changelog updated.
- Run: python archive_plan.py {feature-name}
- This moves the file to doc/plan/archived/{feature-name}-plan.md, appends a completion stamp, and records the archiver.
Acceptance checklist (before archiving)
- No open TODOs assigned to the feature team.
- All acceptance criteria marked PASS or have linked verification evidence (tests, design reviews).
- Milestones and release notes updated.
- Changelog contains all completed items with timestamps.
Template locations
- Active plans: doc/plan/
- Templates: doc/plan/plan-template.md
- Archived plans: doc/plan/archived/
Usage examples (explicit)
- Create a plan from a prompt: "Create a plan for "Improved upload UX""
- Resulting filename: doc/plan/improved-upload-ux-plan.md
- Review an existing plan: "Review the plan for storage-interface and list missing requirements"
- Archive when done: "Archive the feature plan upload-progress once tests are green" or run locally: python archive_plan.py upload-progress
Requirements
- Python 3.7+ for archive_plan.py
- Read/write access to doc/plan/ and doc/plan/archived/
Notes
- Keep SKILL.md concise: frontmatter name/description are used to match user intents.
- Prefer concrete suggestions for naming and TODOs to reduce back-and-forth.
- Update the frontmatter owner/version/last_updated when making future changes.
When not to use it
- →When the user needs to manage project-level roadmaps.
- →When the user needs to create ad-hoc notes or meeting minutes.
- →When the user wants to bypass the completion verification before archiving.
Prerequisites
Limitations
- →The skill does not manage project-level roadmaps.
- →It does not handle ad-hoc notes or meeting minutes.
- →Archiving requires all TODOs to be closed and acceptance criteria satisfied.
How it compares
This skill standardizes the creation, review, and archival of feature plans by enforcing structure, tracking TODOs, and automating completion checks, providing a more consistent and auditable process than manual document management.
Compared to similar skills
managing-feature-plans side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| managing-feature-plans (this skill) | 0 | 6mo | Review | Intermediate |
| pmbok-project-management | 38 | 9mo | No flags | Intermediate |
| project-planner | 32 | 10mo | Review | Intermediate |
| spec-kit-workflow | 11 | 8mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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