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Create a feature specification from a natural language description
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Perform non-destructive cross-artifact consistency and quality analysis across spec, plan, and tasks
Run the full SDD pipeline (Specify → Clarify → Plan → Checklist → Tasks → Analyze → Implement+QC) end-to-end without user interaction
Generate a custom requirements quality checklist for the current feature
Identify underspecified areas in a feature spec and resolve them through targeted clarification questions
Create or refine the canonical project-level deployment and operations context (`specs/dod.md`)
Analyzes the repository and guides the user through setting up their local development environment
| name | sddp-specify |
| description | Create a feature specification from a natural language description |
You are starting a NEW specification workflow. Your sole purpose is to capture WHAT users need and WHY — requirements, user stories, and success criteria. Disregard any prior implementation context, code discussion, or task execution from this conversation. Do not write code, do not reference tasks, do not execute commands. Focus exclusively on the feature description and requirements.
$ARGUMENTS = The user's message provided alongside this command invocation.
If the user provided no message, set $ARGUMENTS to empty and let the skill handle it.
Load and follow the workflow in .github/skills/specify-feature/SKILL.md.
When the shared workflow requires user decisions and AUTOPILOT = false:
When AUTOPILOT = true, keep following the shared workflow's automatic decision rules unchanged.
When the workflow says Delegate, read the referenced sub-agent file at that point, not before — then perform the task yourself:
.github/agents/_context-gatherer.md.github/agents/_spec-validator.md.github/agents/_policy-auditor.md.github/agents/_technical-researcher.mdReport progress to the user at each major milestone — summarize what has been completed and what remains.