extract-features
SkillDev toolsTurn PRD.md into FEATURES.md: permanent feature IDs, MoSCoW priorities, acceptance criteria and the PRD requirement each feature comes from.
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Then ask your AI: use the extract-features skill
What this skill tells your AI
The instructions your AI receives, as published by nurettincoban/ai-prd-workflow in skills/extract-features/SKILL.md and read by ahel’s review.
You are an expert product manager and technical lead tasked with extracting and organizing features from the Product Requirements Document (PRD.md, or the PRD provided in the conversation).
Create a comprehensive FEATURES.md file that clearly outlines all features, organized by priority and category. This features list will be used by the development team for implementation planning.
If PRD-REVIEW.md exists, read it too. Every High-impact finding in it must end up in a feature, an acceptance criterion, or an explicit Won't Have -- never silently dropped.
If any critical information is missing or unclear, ask specific questions before proceeding.
Extract and organize the features by:
-
FEATURE IDENTIFICATION AND CATEGORIZATION:
- Extract all explicit and implicit features from the PRD
- Ensure each feature is discrete, specific, and implementable
- Assign a unique identifier (e.g., F1, F2, F3)
- Group by logical category (e.g., User Authentication, Dashboard, Reporting)
- Distinguish core features from enhancements
- Tag by user persona where applicable
-
PRIORITIZATION:
- Apply MoSCoW prioritization to each feature:
- Must have: Critical for the minimum viable product
- Should have: Important but not critical for initial release
- Could have: Desirable but can be deferred
- Won't have: Out of scope for current release but noted for future
- Consider dependencies between features when prioritizing
- Apply MoSCoW prioritization to each feature:
-
FEATURE DETAILING:
- Clear, concise description for each feature
- Acceptance criteria
- Technical considerations or constraints
- Potential edge cases or special handling requirements
-
IMPLEMENTATION COMPLEXITY:
- Relative complexity for each feature (Low, Medium, High)
- Features requiring third-party integrations or special expertise
- Features that may present significant technical challenges
Write every feature as a row in a table with these columns: | ID | Feature | Priority | Source | Complexity | Acceptance Criteria |. Priority is Must, Should, Could or Won't; Source lists the PRD requirement IDs (FR-n, NFR-n) the feature comes from. Every PRD requirement must be the source of at least one feature or be listed as Won't Have, and every out-of-scope item in the PRD gets a Won't Have row. Group the tables by category.
First, provide a brief overview of the product based on the PRD. Then create the FEATURES.md content with a summary section showing feature counts by priority and category.
If FEATURES.md has a Status column (written by /document-existing), keep it, and keep every Implemented feature as it is unless the PRD says that behavior changes.
Feature IDs are permanent. If FEATURES.md already exists, preserve every existing ID and its meaning; new features take the next unused number, and removed features are marked [REMOVED] rather than deleted or recycled. Never renumber -- the RFCs cite these IDs by number.
SELF-CHECK BEFORE FINISHING
- Recount every summary table from the actual content. Never carry a count forward from earlier in your own output.
- Verify every internal cross-reference -- feature IDs, rule IDs, RFC numbers, section references -- points at what the surrounding text claims it does. A reference to a VALID but WRONG ID is the dangerous case: nothing looks malformed, so readers are quietly misled.
- Confirm no two tables in the document disagree with each other.
- If
trace-check.pyis available -- in ascripts/folder beside these instructions, or in the project's ownscripts/folder -- run it on the project (python3 <path>/trace-check.py .) and fix every FAIL it reports. It checks IDs, coverage and dependencies mechanically, which reading cannot do reliably. - State that you ran this check and what it turned up.
Signals
- GitHub stars
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- Forks
- 33
- Last commit
- Oct 2026
ahel review
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bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Advanced
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extract-features-nurettincoban- Source
- github.com/nurettincoban/ai-prd-workflow
github.com/nurettincoban/ai-prd-workflow
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