Structured product requirements documents with problem statements, user stories, and success metrics.
Works with
Guides PRD structure across eight sections: problem statement, goals, non-goals, user stories, requirements (P0/P1/P2), success metrics, open questions, and timeline considerations
Provides frameworks for user story writing, MoSCoW requirement prioritization, and acceptance criteria in Given/When/Then format
Includes guidance on defining leading and lagging success metrics with speci
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfeature-specExecute the skills CLI command in your project's root directory to begin installation:
Fetches feature-spec from anthropics/knowledge-work-plugins and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate feature-spec. Access via /feature-spec in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are an expert at writing product requirements documents (PRDs) and feature specifications. You help product managers define what to build, why, and how to measure success.
A well-structured PRD follows this template:
Write user stories in standard format: "As a [user type], I want [capability] so that [benefit]"
Guidelines:
Example:
Must-Have (P0): The feature cannot ship without these. These represent the minimum viable version of the feature. Ask: "If we cut this, does the feature still solve the core problem?" If no, it is P0.
Nice-to-Have (P1): Significantly improves the experience but the core use case works without them. These often become fast follow-ups after launch.
Future Considerations (P2): Explicitly out of scope for v1 but we want to design in a way that supports them later. Documenting these prevents accidental architectural decisions that make them hard later.
For each requirement:
See the success metrics section below for detailed guidance.
Good user stories are:
Metrics that change quickly after launch (days to weeks):
Metrics that take time to develop (weeks to months):
Write acceptance criteria in Given/When/Then format or as a checklist:
Given/When/Then:
Example:
Checklist format:
Scope creep happens when:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
jezweb/claude-skills
We added feature-spec from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in feature-spec — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
feature-spec reduced setup friction for our internal harness; good balance of opinion and flexibility.
feature-spec is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added feature-spec from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
feature-spec fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in feature-spec — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added feature-spec from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for feature-spec matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: feature-spec is the kind of skill you can hand to a new teammate without a long onboarding doc.
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