Pm Review

Community

wei63w

pm-review

Review local git diff with reasoning + snippets; cross-check; dispose findings into the rules library.

Overview

Publisher	wei63w
Repository	`pm-manager`
Skill name	`pm-review`
Stars	89
Forks	0
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 wei63w on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/wei63w/pm-manager/tree/main/adapters/cursor/skills/pm-review
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.

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/wei63w/pm-manager.git /tmp/pm-manager
mkdir -p .claude/skills
cp -r /tmp/pm-manager/adapters/cursor/skills/pm-review .claude/skills/pm-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm 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 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 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.

User Input

text
$ARGUMENTS

Outline

/pm-review 是可见的质量闭环。用户以中文交互时用中文回复。未确认不改业务代码。

A. New review (no disposition words)

Require .pm/。缺则建议 /pm-init。
先跑 pm gate --path <root> 与 pm review --path <root>。读 .pm/state/review-draft.md、guard.md。无 diff 则说 没有可评的变更 并停止，不许编造通过。
地图优先。加载 .pm/engineering/rules.md 启用规则。对照旧/新行为。碰到 risk_files 必须打断并单独成行。
只润色或补合格行（summary + reasoning + snippet + severity + file/line）。缺推理或片段禁止落盘。
建议再跑 pm review --cross，对照 .pm/state/cross-review.md 用另一套检查单（安全 vs 完成度/文档），禁止复制初评空话、禁止同一 snippet 再标 new。
P0 打断。P1/P2 进报告。单测缺口只警告。
若当前仓库为 Vue：额外核对 v-html（XSS）与 v-for 缺 :key；结论仍须推理链 + 片段。
请用户回复 confirm REV-xxx / false_positive REV-xxx / later REV-xxx。回填用 pm review annotate REV-xxx（只写 .pm/reviews/annotations/）。

B. Disposition

confirm → pm review confirm REV-xxx（或最新 unset）。仅合格行可进 rules.md。
false_positive → 不进规范。
later → 待优化，留在表里。

C. After write

刷新总览待处置数。追加审计（含推理）。Closing：_closing.md 完整档。

Done When

无 diff 时说了没有可评的变更
每条落盘发现有推理 + 片段
仅 confirmed 进入 rules.md
回填未写入业务树
业务代码未改，除非用户另确认修复

Shared Workflow

Map-first. Redact snippets. Confirm-before-write. Design baseline: docs/prd.md + 宪章。

Frequently asked questions

What does the Pm Review AI skill do?

Review local git diff with reasoning + snippets; cross-check; dispose findings into the rules library.

Why use Pm Review on TypingMind?

Because you install it once and use it with any model. Pm 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 Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wei63w/pm-manager/tree/main/adapters/cursor/skills/pm-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm 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 Review?

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

Is the Pm Review AI skill free?

Yes. It is published on GitHub by wei63w 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

User Input

Outline

A. New review (no disposition words)

B. Disposition

C. After write

Done When

Shared Workflow

Frequently asked questions

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