skill-prd
- Repo stars 3,406
- Author updated Live
- Author repo claude-octopus
- Domain
- Documentation
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @nyldn · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: skill-prd
description: Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or produ…
category: documentation
runtime: no special runtime
---
# skill-prd output preview
## PART A: Task fit
- Use case: Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product Before writing ANY PRD content, you MUST ask the user these questions: I need to understand your requirements before creating the PRD. Please answer these (even briefly) so I can create a more targeted PRD. runs entirely locally. Works with Claude Code, Curs….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “PHASE 0: CLARIFICATION (MANDATORY) / PHASE 1: QUICK RESEARCH (Max 2 searches) / PHASE 2: WRITE PRD” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product Before writing ANY PRD content, you MUST ask the user these questions: I need to understand your requirements before creating the PRD. Please answer these (even briefly) so I can create a more targeted PRD. runs entirely locally. Works with Claude Code, Curs…”.
- **02** When the source has headings, the agent prioritizes “PHASE 0: CLARIFICATION (MANDATORY) / PHASE 1: QUICK RESEARCH (Max 2 searches) / PHASE 2: WRITE PRD” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/octo`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “PHASE 0: CLARIFICATION (MANDATORY) / PHASE 1: QUICK RESEARCH (Max 2 searches) / PHASE 2: WRITE PRD”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: skill-prd
description: Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or produ…
category: documentation
source: nyldn/claude-octopus
---
# skill-prd
## When to use
- Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product Before writing ANY…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “PHASE 0: CLARIFICATION (MANDATORY) / PHASE 1: QUICK RESEARCH (Max 2 searches) / PHASE 2: WRITE PRD” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "skill-prd" {
input -> user goal + target files + boundaries + acceptance criteria
context -> PHASE 0: CLARIFICATION (MANDATORY) / PHASE 1: QUICK RESEARCH (Max 2 searches) / PHASE 2: WRITE PRD
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} 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.
STOP - SKILL ALREADY LOADED
DO NOT call Skill() again. DO NOT load any more skills. Execute directly.
PHASE 0: CLARIFICATION (MANDATORY)
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.
PHASE 1: QUICK RESEARCH (Max 2 searches)
Only search if topic is unfamiliar. Limit to 2 web searches max:
- One for domain/market context
- One for technical patterns (if needed)
Do NOT over-research. 60 seconds max for this phase.
PHASE 2: WRITE PRD
Structure:
- Executive Summary - Vision + key value prop
- Problem Statement - Quantified pain points by user segment
- Goals & Metrics - SMART goals, P0/P1/P2 priority, success metrics table
- Non-Goals - Explicit boundaries (what we WON'T do)
- User Personas - 2-3 specific personas with use cases
- Functional Requirements - FR-001 format with acceptance criteria
- Implementation Phases - Dependency-ordered, time-boxed
- Risks & Mitigations - Top 3-5 risks with mitigation strategies
PHASE 2.5: ADVERSARIAL PRD REVIEW (RECOMMENDED)
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:
- Revise the PRD to address valid challenges
- Note dismissed challenges in the Risks section if they have partial merit
- Add to PRD footer:
Adversarial review: applied
Skip with --fast or when user requests speed over thoroughness. See prd.md command for full dispatch syntax.
PHASE 3: SELF-SCORE
Score against 100-point framework:
- AI-Specific Optimization: 25 pts (sequential phases, non-goals, structured format)
- Traditional PRD Core: 25 pts (problem statement, goals, personas, specs)
- Implementation Clarity: 30 pts (FRs with codes, NFRs, architecture, phases)
- Completeness: 20 pts (risks, dependencies, examples, doc quality)
PHASE 4: SAVE
Write to user-specified filename or generate based on feature name.
START WITH PHASE 0 CLARIFICATION QUESTIONS NOW.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review