utility-pm-critic
Run adversarial review on a PM artifact via the pm-critic sub-agent. Returns findings graded P0/P1/P2/P3 with a concrete fix suggestion per finding and a machine-readable status block.
Install / Use
npx skills add product-on-purpose/pm-skills --skill utility-pm-criticInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of utility-pm-critic
utility-pm-critic scores 84/100 on our quality scale, 2686th of 4,641 Development & Engineering skills we index.
Its SKILL.md is 6.0 KB long, well organised into 10 sections and no code examples: a thorough specification that gives an agent plenty to work with.
It has 697 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 16 days ago, so utility-pm-critic is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
utility-pm-critic compared with similar skills
All 4 of these similar skills score higher than utility-pm-critic; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| utility-pm-critic (this skill)by product-on-purpose | 84 | 697 | 16d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.1k | 18d ago | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 44.9k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 4d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install utility-pm-critic?
- Run
npx skills add product-on-purpose/pm-skills --skill utility-pm-critic. The install tabs above show the steps for each supported agent. - Which AI agents does utility-pm-critic work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is utility-pm-critic safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is utility-pm-critic still maintained?
- The repository was last updated 16 days ago, so utility-pm-critic is actively maintained.
Skill content
View source on GitHubname: utility-pm-critic description: Run adversarial review on a PM artifact via the pm-critic sub-agent. Returns findings graded P0/P1/P2/P3 with a concrete fix suggestion per finding and a machine-readable status block. Use after producing a PRD, meeting recap, OKR set, persona, or any PM artifact you want stress-tested before it ships. license: Apache-2.0 metadata: classification: utility version: "1.0.1" updated: 2026-06-10 category: review frameworks: [triple-diamond] author: product-on-purpose
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->PM Critic (Dispatch Skill)
This skill is a cross-client dispatch wrapper for the pm-critic sub-agent. It exists so that users on non-Claude clients can run adversarial review with the same intent as Claude Code users, without depending on native plugin sub-agent infrastructure.
Per master plan D11 (amended) + D30, sub-agents are a Claude Code plugin feature. Non-Claude clients (Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI) cannot natively load agents/pm-critic.md. This skill bridges the gap.
When to Use
- You want adversarial review of a PM artifact (PRD, OKR set, persona, lean canvas, meeting recap, interview synthesis, problem statement, hypothesis, edge case catalog, retrospective, etc.)
- You are running on a non-Claude AI client and the
pm-criticsub-agent is not natively available - You are running on Claude Code and prefer skill-invocation semantics over sub-agent semantics (e.g., for consistency across a multi-step workflow that mixes skills and sub-agent intents)
When NOT to Use
- You want a structural lint / repo-level audit -> use
utility-pm-skill-auditor(audits skills + repo state) instead - You want to author an artifact (this skill only reviews) -> use the appropriate phase skill (deliver-prd, foundation-okr-writer, etc.)
- You want code review -> use a code-review-specific tool (this skill is for PM artifacts)
- You want to enforce style rules like em-dash sweep -> that is
pm-release-conductor's G0 gate, not this skill
Instructions
Runtime detection step. Determine which AI client is invoking this skill.
If you are running in Claude Code with the pm-skills plugin installed
Invoke @agent-pm-skills:pm-critic on the target artifact. Pass the artifact path as argument (or the most recent artifact in session context if no argument is provided). Return the sub-agent's findings to the user. No further action needed from this skill - the sub-agent handles the review natively in its own context window.
If you are running in any other AI client
Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI, ChatGPT, or any other client without native pm-skills plugin sub-agent support:
- Read the canonical sub-agent definition at
agents/pm-critic.md - Execute the system prompt body in that file as your operating instructions for this turn
- Read the target PM artifact specified by the user (path from
$ARGUMENTS, or most recently produced artifact in session) - Read the canonical standards docs referenced by the pm-critic system prompt for the artifact type (e.g.,
skills/foundation-okr-writer/SKILL.mdfor OKR sets,skills/deliver-prd/SKILL.mdfor PRDs) - Produce findings graded P0/P1/P2/P3 with concrete fix suggestions, formatted per the output structure documented in
docs/guides/adversarial-review.md - End the output with the layered structure per master plan D26:
- Section (1): full human-readable findings (the P0/P1/P2/P3 report)
- Section (2):
## Status Summaryin prose, summarizing what was found and what the user should do next - Section (3):
## StatusYAML block with machine-readable fields
Output Format
See references/TEMPLATE.md for the canonical output structure (with the layered Status envelope per D26). See references/EXAMPLE.md for a worked example showing a real cross-client dispatch run against a PRD.
Composition
- Skills: This dispatch skill composes with all PM-artifact-producing skills (deliver-prd, foundation-okr-writer, foundation-meeting-recap, foundation-persona, foundation-lean-canvas, discover-interview-synthesis, etc.). Run any of those, then run this skill on the produced artifact.
- Sub-agents: On Claude Code, this skill dispatches to
pm-criticsub-agent. On non-Claude, this skill IS the inline execution; no further dispatch. - Workflows:
pm-workflow-orchestrator(shipped v2.24.0) can invoke this skill at quality-gate steps for cross-client compatibility.
Cross-Client Notes
See Sub-Agent Compatibility Matrix for the canonical cross-client status of all 4 sub-agents + dispatch skills. Summary for this skill as of v2.16.0: PRODUCTION on Claude Code + Codex CLI; EXPERIMENTAL on Cursor / Windsurf / Copilot CLI / Gemini CLI. Maintainers wanting cross-client confidence on a non-Claude client can re-run the maintainer-gate-testing-codex.md harness on that client.
The "read and execute inline" pattern depends on the AI being able to:
- Read a file path provided as a reference (most AI clients support this)
- Treat that file's content as operating instructions for the current turn (most AI clients support this for SKILL.md-style instructions)
- Read additional referenced standards docs at invocation time (all major AI clients support this)
If any of these are unreliable on a given client, that client cannot use this dispatch skill effectively.
Reference Files
- Canonical sub-agent definition:
agents/pm-critic.md - Behavioral spec:
docs/internal/release-plans/v2.16.0/spec_pm-critic.md - User-facing guide:
docs/guides/adversarial-review.md - Runtime components catalog:
docs/reference/runtime-components.md - Output template:
references/TEMPLATE.md - Worked example:
references/EXAMPLE.md
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
