القائمة
Extract clear, structured requirements from a user request. Use when decomposing intent into functional, non-functional, and constraint requirements.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Generate and maintain AI_STANCE.md for any uFawkes* repo. Use when onboarding a repo to the uFawkesAI suite, when reviewing AI policy currency, or when a new AI tool is being adopted. Implements DORA AI Capability 1.
Ensure graphify corpus is current and complete before each agent session. Define minimum AI-accessible documentation per repo. Use at session startup to verify internal context is available to AI tools. Implements DORA AI Capability 3.
15-minute JTBD + acceptance criterion exercise. Use before any spec session. Produces a discovery-brief.md that anchors the entire increment to a real user need and a measurable DORA outcome. Implements DORA AI Capability 6.
Enforce minimum documentation standard across uFawkes* repos. Use when auditing a repo before release, onboarding a new repo to the suite, or implementing roadmap item 0.6 (cross-repo README links). Directly supports DORA AI Capability 3 and the 2023 DORA finding that documentation quality amplifies all technical capabilities.
Create and manage DOJO content for platform engineering education and knowledge sharing.
Maintain AI_STANCE.md as a living document. Use quarterly or when a new AI tool is adopted. Handles review triggers, the three-bucket update process, socialization checklist, and cross-repo consistency. Companion to ai-stance skill.
| name | requirements-extraction |
| description | Extract clear, structured requirements from a user request. Use when decomposing intent into functional, non-functional, and constraint requirements. |
| license | MIT |
| compatibility | Claude Code, GitHub Copilot, OpenCode, Cursor, Codex, Gemini CLI |
| metadata | {"author":"paruff","suite":"uFawkesAI"} |
Load trigger:
"load requirements-extraction skill"> DORA: Cap 3 (AI-Accessible Internal Data) Token cost: Low
Extract clear, structured requirements from a user request.
AGENTS.md, docs/)requirements.jsonconstraints.jsonnonfunctional.json{
"functional": [
{
"id": "REQ-001",
"title": "Requirement title",
"description": "What the system must do",
"priority": "must-have | should-have | nice-to-have"
}
],
"nonfunctional": [
{
"id": "NFR-001",
"category": "performance | security | scalability | availability",
"description": "Specific requirement"
}
],
"constraints": [
{
"id": "CON-001",
"type": "technical | business | regulatory",
"description": "Constraint description"
}
],
"assumptions": ["Assumption 1"],
"dependencies": ["External system X"],
"out_of_scope": ["Feature Y"]
}