Individual skill
requirements-extractor
Converts vague, informal, or incomplete requirements into clear functional and technical requirements, and flags open questions. Use when a request is too ambiguous to implement directly.
skills/reasoning/requirements-extractor/SKILL.md
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- Last checked
- Nov 5, 2026
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- Repository last updated
- Aug 20, 2026
- License
- MIT
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- claude-code Repository topic
- ai Repository topic
- ai-agents Repository topic
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README.mddoc · 1,440 bytesSKILL.mdcore · 2,211 bytesexamples/example.mddoc · 1,534 bytes
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## Purpose
Turn a vague request ("make it faster," "add user profiles," "it should feel more modern") into explicit, checkable functional and technical requirements, and surface the ambiguities that need an answer before implementation can start.
## When to Use
- A feature request, ticket, or user message is underspecified for direct implementation.
- Before starting implementation on anything nontrivial, to confirm scope with the requester.
- When a team keeps re-litigating "wait, was that supposed to include X?" mid-build.
## What to Analyze / Do
1. **Restate the request** in plain language to confirm the core intent.
2. **Extract functional requirements** — what the system must do, from a user's perspective, as discrete checkable statements ("User can reset their password via email").