Pm Product Review logo

Pm Product Review

Organization
Uxcel-Lab
pm-product-review

Orchestrated review of a PM artifact (spec, PRD, OKRs, roadmap, prioritization, strategy). Routes by artifact type to the right audits, auto-runs the always-relevant assumption check, and returns one prioritized report. Trigger when the user asks for a full review of a PM document, "review my spec/roadmap/OKRs", "is this PRD solid", or general PM feedback — but NOT when they name a single specific audit.

Overview

PublisherUxcel-Lab
Repositoryproduct-skills
Skill namepm-product-review
Stars
35
Forks
8
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Uxcel-Lab on GitHub. Read the source before you install it.

Installation

Install the Pm Product Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Uxcel-Lab/product-skills/tree/main/pm/workflows/product-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Uxcel-Lab/product-skills.git /tmp/product-skills
mkdir -p .claude/skills
cp -r /tmp/product-skills/pm/workflows/product-review .claude/skills/pm-product-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Product Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pm Product Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pm Product Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Product Review (PM Orchestrator) Skill

How this skill behaves (read first)

This is the front door for holistic PM-artifact review. It is the executable form of docs/orchestration-policy.md applied to PM work: it routes by artifact type to the relevant audits rather than firing all of them, auto-runs the one always-relevant lens (assumption rigor), and returns one prioritized report.

PM work has no "design system" suppression case, but it has the same two failures to avoid: a vague "looks good" review, and forcing every PM audit onto a document that only needs one.

When NOT to use this skill: if the user named a specific audit ("run spec-quality", "check my OKR metric validity"), skip this orchestrator and invoke that one directly. Explicit scope overrides orchestration.


Step 0 — Establish context (once)

  • Artifact type — spec/PRD, OKRs/KPIs, roadmap, prioritization, vision/strategy, GTM. This is the primary router. Infer it from the document; ask only if genuinely ambiguous.
  • Primary goal — what decision this artifact is meant to support (used for conflict resolution and prioritization).

Step 1 — Auto-run the always-relevant lens (Tier A)

  • pm-assumption-rigor-audit — runs whenever the artifact rests on unproven assumptions, which is nearly always true for PM work. It's cheap, high-leverage, and artifact-agnostic.

Each audit is named by its installable skill name. Invoke one only if that skill is installed; if one isn't, list it under "available but not run" in the report and don't block — this orchestrator degrades to whichever audits are present.


Step 2 — Route by artifact type (Tier B — run the matching one, offer adjacent ones)

ArtifactPrimary auditAdjacent lenses to offer
Spec / PRDpm-spec-quality-auditpm-assumption-rigor-audit (auto), pm-decision-quality-audit
OKRs / KPIs / metricspm-okr-metric-validity-auditpm-assumption-rigor-audit (auto)
Roadmap / prioritizationpm-prioritization-rigor-auditpm-decision-quality-audit, pm-assumption-rigor-audit (auto)
Vision / strategypm-decision-quality-auditpm-assumption-rigor-audit (auto)
GTM planpm-decision-quality-auditpm-assumption-rigor-audit (auto)

Run the primary audit for the artifact type. Offer the adjacent lenses rather than firing them: "This is a roadmap, so I ran prioritization-rigor and the assumption check. Want me to also run a decision-quality pass?"


Step 3 — Merge into one prioritized report

De-duplicate across lenses, resolve conflicts toward the primary goal from Step 0, and output a single severity-ordered list:

## Product Review — [artifact]
Context: [artifact type · primary goal]
Lenses run: [spec-quality, assumption-rigor]   Available but not run: [decision-quality]

### Critical
- [Issue] — what's wrong → fix. (spec-quality / assumption / metric-validity / …)
### Major
- …
### Minor
- …
### Working well ✓
- …

**Top 3 priorities:** the highest-impact fixes across all lenses.
Offered, not run: decision-quality — say the word and I'll add it.

Common do/don't patterns

❌ Don't✅ Do
Run every PM audit on any documentRoute by artifact type; auto-run only the assumption check
Return one report per auditMerge into a single prioritized, de-duplicated list
Run this orchestrator when the user asked for one named auditDefer to that audit directly (explicit scope wins)
Treat strategy and a spec the same wayRoute: spec → spec-quality, OKRs → metric-validity, roadmap → prioritization-rigor

Relationship to the policy

This skill is docs/orchestration-policy.md in executable form for PM work. If the two ever diverge, the policy governs; update this skill to match it.

Source lessons (Uxcel)

This is an orchestrator — its substance lives in the audits it routes to. See the source lessons in each: pm-assumption-rigor-audit, pm-spec-quality-audit, pm-okr-metric-validity-audit, pm-prioritization-rigor-audit, pm-decision-quality-audit.

Frequently asked questions

What does the Pm Product Review AI skill do?

Orchestrated review of a PM artifact (spec, PRD, OKRs, roadmap, prioritization, strategy). Routes by artifact type to the right audits, auto-runs the always-relevant assumption check, and returns one prioritized report. Trigger when the user asks for a full review of a PM document, "review my spec/roadmap/OKRs", "is this PRD solid", or general PM feedback — but NOT when they name a single specific audit.

Why use Pm Product Review on TypingMind?

Because you install it once and use it with any model. Pm Product Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pm Product Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Uxcel-Lab/product-skills/tree/main/pm/workflows/product-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Product Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pm Product Review?

As many as you like. As long as a model supports skills, you can use Pm Product Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pm Product Review AI skill free?

Yes. It is published on GitHub by Uxcel-Lab under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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