skills/skill-prd/SKILL.md
Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product
npx skillsauth add nyldn/claude-octopus skill-prdInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex. Cross-reference commands use installed skill names in Codex rather than
/octo:*slash commands. Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it. For host tool equivalents, seeskills/blocks/codex-host-adapter.md.
DO NOT call Skill() again. DO NOT load any more skills. Execute directly.
Before writing ANY PRD content, you MUST ask the user these questions:
I need to understand your requirements before creating the PRD.
1. **Target Users**: Who will use this? (developers, end-users, admins, etc.)
2. **Core Problem**: What specific pain point does this solve? Any metrics?
3. **Success Criteria**: How will you measure if this succeeds?
4. **Constraints**: Any technical, budget, or timeline constraints?
5. **Existing Context**: Is this greenfield or integrating with existing systems?
Please answer these (even briefly) so I can create a more targeted PRD.
WAIT for user response before proceeding to Phase 1.
If user says "skip" or provides the feature description inline, extract what you can and note assumptions.
Only search if topic is unfamiliar. Limit to 2 web searches max:
Do NOT over-research. 60 seconds max for this phase.
Structure:
After drafting the PRD but BEFORE self-scoring, dispatch the draft to a second provider for adversarial review. A single-model PRD has blind spots — cross-provider challenge surfaces wrong assumptions, uncovered scenarios, and contradictory requirements.
Dispatch the PRD draft to a different provider (Codex, Gemini, or Sonnet as fallback) with this prompt:
"Challenge this PRD. What assumptions are wrong? What user scenarios are missing? What requirements contradict each other? What will the first user complaint be? What risk does this PRD ignore?"
After receiving the challenge:
Adversarial review: appliedSkip with --fast or when user requests speed over thoroughness. See prd.md command for full dispatch syntax.
Score against 100-point framework:
Write to user-specified filename or generate based on feature name.
START WITH PHASE 0 CLARIFICATION QUESTIONS NOW.
testing
Environment diagnostics — check providers, auth, config, hooks, scheduler, and more
testing
Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff.
data-ai
Evidence before claims — run verification commands before declaring work complete, fixed, or passing
testing
Evidence before claims — run verification commands before declaring work complete, fixed, or passing