Agent skill

Skill Prd

by nyldn in nyldn/claude-octopus

Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product

MITAuto-check passedProduct & Project Management

Install Skill Prd

skills CLI
$ npx skills add nyldn/claude-octopus --skill skill-prd -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nyldn/claude-octopus skill-prd --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nyldn/claude-octopus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-prd .claude/skills/skill-prd && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-prd
GitHub stars
4.2k
Used in
1 other repo
Token cost
~933 tokens
SKILL.md length
422 words
Files
2
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product

  • Works in 6 steps: CLARIFICATION (MANDATORY) → QUICK RESEARCH (Max 2 searches) → WRITE PRD → …
  • Scoping a new feature
  • SKILL.md covers PHASE 0: CLARIFICATION…, PHASE 1: QUICK RESEARCH (Max 2…, PHASE 2: WRITE PRD and PHASE 2.5: ADVERSARIAL PRD…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Prd is an agent skill from nyldn/claude-octopus. Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship. The licence is MIT.

When your agent uses it

  • Scoping a new feature
  • Tasks that involve PRD writing

Example prompts

  • “/skill-prd”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. CLARIFICATION (MANDATORY)
  2. QUICK RESEARCH (Max 2 searches)
  3. WRITE PRD
  4. 5: ADVERSARIAL PRD REVIEW (RECOMMENDED)
  5. SELF-SCORE
  6. SAVE

What it can do on your machine

Read from SKILL.md and the folder at commit 4d152db. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Prd loads about 933 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 422 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~933

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nyldn/claude-octopus at commit 4d152db, republished under its MIT licence (© nyldn). 422 words, ~933 tokens.

Download SKILL.mdSave it as .claude/skills/skill-prd/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
skill-prd
description
Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product
disable-model-invocation
true

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, see skills/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:

  1. Executive Summary - Vision + key value prop
  2. Problem Statement - Quantified pain points by user segment
  3. Goals & Metrics - SMART goals, P0/P1/P2 priority, success metrics table
  4. Non-Goals - Explicit boundaries (what we WON'T do)
  5. User Personas - 2-3 specific personas with use cases
  6. Functional Requirements - FR-001 format with acceptance criteria
  7. Implementation Phases - Dependency-ordered, time-boxed
  8. Risks & Mitigations - Top 3-5 risks with mitigation strategies
Show full SKILL.md (197 more words)Show less

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, Antigravity, 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.

© nyldn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/skill-prd of nyldn/claude-octopus.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 4d152db

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in nyldn/claude-octopus, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Skill Prd next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Prd compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Prd this skillnyldn/claude-octopus4.2k1 repos~933Automated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Ralph Tui Create Beadssubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Adversarial Speczscole/adversarial-spec5561 repos~8.3kAutomated safety check: NotesMIT
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT

Similar skills

  • Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.

    8.4k GitHub stars~1.1k tokensUpdated 6 mo ago
    Product & Project ManagementAuto-check passed
  • Ralph Tui Create Beads

    subsy/ralph-tui

    Convert PRDs to beads for ralph-tui execution. An agent skill from subsy/ralph-tui.

    2.5k GitHub starsUsed in 1 repo~2.6k tokens
    Product & Project ManagementAuto-check passed
  • Trellis Brainstorm

    anjiemo/SunnyBeach

    Guides collaborative requirements discovery before implementation.

    178 GitHub starsUsed in 7 repos~4k tokens
    Product & Project ManagementAuto-check passed
  • Adversarial Spec

    zscole/adversarial-spec

    Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree.

    556 GitHub starsUsed in 1 repo~8.3k tokens
    Product & Project ManagementAuto-check: notes
  • Convert PRDs to beads for ralph-tui execution using beads-rust (br CLI).

    2.5k GitHub starsUsed in 1 repo~2.8k tokens
    Product & Project ManagementAuto-check passed
  • Runs a guided product-manager interview that classifies each question automatically and produces a Product Requirements Document.

    6.2k GitHub starsUsed in 1 repo~5.7k tokens
    Product & Project ManagementAuto-check passed

More from nyldn/claude-octopus

All 62 skills in this repo
  • Octopus Quick

    nyldn/claude-octopus

    Quick execution for ad-hoc tasks without full workflow overhead — use for small, self-contained requests

    4.2k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Octopus Research

    nyldn/claude-octopus

    Thorough research across multiple sources — use for complex topics needing broad synthesis

    4.2k GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed
  • Octopus Security Audit

    nyldn/claude-octopus

    OWASP compliance, vulnerability scanning, and adversarial red team testing — use for security reviews

    4.2k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Skill Audit

    nyldn/claude-octopus

    Audit codebases for quality, consistency, and broken patterns — use for pre-release or tech debt review

    4.2k GitHub starsUsed in 1 repo~3.2k tokens
    Auto-check passed
  • Skill Content Pipeline

    nyldn/claude-octopus

    Extract patterns and anatomy from URLs — use to reverse-engineer content strategies from live pages

    4.2k GitHub starsUsed in 1 repo~3.9k tokens
    Auto-check passed
  • Skill Context Detection

    nyldn/claude-octopus

    Auto-detect work context (Dev vs Knowledge) — use to tailor workflows based on current task type

    4.2k GitHub starsUsed in 1 repo~2.6k tokens
    Auto-check passed

Questions about Skill Prd

What does Skill Prd do?

Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product. Skill Prd is an agent skill from nyldn/claude-octopus.

When should I use Skill Prd?

Skill Prd fits situations like: scoping a new feature; tasks that involve PRD writing.

How do I install Skill Prd in Claude Code?

Run `npx skills add nyldn/claude-octopus --skill skill-prd -a claude-code`. Or copy the skill folder (skills/skill-prd in nyldn/claude-octopus) into .claude/skills/skill-prd in your project. Claude Code loads it when a task matches its description.

How do I install Skill Prd in Codex?

Run `npx skills add nyldn/claude-octopus --skill skill-prd -a codex`. Or copy the skill folder (skills/skill-prd in nyldn/claude-octopus) into .agents/skills/skill-prd in your project. Codex loads it when a task matches its description.

Can I use Skill Prd in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nyldn/claude-octopus --skill skill-prd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-prd, .gemini/skills/skill-prd, .github/skills/skill-prd and .opencode/skills/skill-prd in your project.

What does Skill Prd need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Prd is instructions for the agent only.

Does Skill Prd access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Prd safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Prd use?

Skill Prd is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Prd use?

About 933 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Prd?

Skills that share tags, products or a category with Skill Prd: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Prd?

nyldn (a GitHub user) maintains it in nyldn/claude-octopus, which has 4,182 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 7, 2026.

Source: nyldn/claude-octopus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.