Pace Review

Community

arch-team

pace-review

Use when user says "review", "审核", "帮我看看", "代码审查", "提交审核", "Gate 2", "提交审批", "pace-review", or when a change request reaches in_review state. NOT for running tests or acceptance verification (use /pace-test).

Overview

Publisher	arch-team
Repository	`devpace`
Skill name	`pace-review`
Stars	73
Forks	6
Bundled files	4
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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by arch-team on GitHub. Read the source before you install it.

Installation

Install the Pace 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/arch-team/devpace/tree/main/skills/pace-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/arch-team/devpace.git /tmp/devpace
mkdir -p .claude/skills
cp -r /tmp/devpace/skills/pace-review .claude/skills/pace-review

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

Use it in TypingMind

Enable Pace 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 Pace 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 Pace 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.

/pace-review — 生成 Review 摘要

为到达 in_review 状态的变更请求生成人类可读的审核摘要。追溯链展示至 Epic 层（CR→PF→BR→Epic→OBJ）。

输入

$ARGUMENTS：

（空）→ 处理所有 in_review 的 CR
<关键词> → 指定特定变更

流程

Step 1：识别待 review 的变更

扫描 .devpace/backlog/ 找状态为 in_review 的 CR 文件。

如果没有 in_review 的 CR，按以下顺序做状态感知引导（用户不需要理解状态机）：

有 verifying 状态的 CR → 提示"CR-xxx 正在验证中（Gate 2 自动检查），检查完成后会自动进入 Review。要先看看当前质量检查进度吗？"
只有 developing 状态的 CR → 提示"CR-xxx 还在开发中。需要先推进到 review 阶段吗？"
无活跃 CR → 告知用户当前没有待审查的变更

Step 2：确定 Review 模式并按需加载

重要：根据 Review 模式和 CR 复杂度，仅读取对应的 procedures 文件，不加载全部规程。

固定加载：

文件	说明
`skills/pace-review/review-procedures-common.md`	通用规则（始终加载）

按 Review 模式和复杂度加载：

模式	条件	额外加载文件
中断恢复	CR 验证证据有已生成摘要 + 代码无变更	无（仅用 common）
增量 Review（S 级）	打回历史 + S 级	`skills/pace-review/review-procedures-delta.md`（自包含）
增量 Review（M+ 级）	打回历史 + M+ 级	`skills/pace-review/review-procedures-delta.md` + `skills/pace-review/review-procedures-gate.md`
全量 Review（S 级）	首次 review，S 级	无（common 含 S 级格式）
全量 Review（M+ 级）	首次 review，M+ 级	`skills/pace-review/review-procedures-gate.md`

后续按需加载：

触发条件	加载文件
用户打回或给出修改意见	`skills/pace-review/review-procedures-feedback.md`（自包含）

Step 3：生成摘要

对每个待 review 的 CR 执行：

交叉影响扫描：检测多活跃 CR 间的文件/模块重叠
意图一致性检查：对比 CR 意图与 git diff 实际变更（简单 CR 跳过），含推理后缀
业务追溯：CR → PF → BR 完整价值链追溯
对抗审查：强制发现问题（M/L/XL），联动 accept 报告弱覆盖区域
输出摘要：按复杂度分级——S 微型 / M 标准 / L-XL 完整+TL;DR
持久化：将摘要写入 CR 验证证据 section

详细操作步骤和摘要格式见已加载的 procedures 文件。

Step 4：等待人类决策

处理人类回复（approved / 打回 / 修改意见 / 探索性问题），详细动作见已加载的 procedures 文件。

输出

Review 摘要 + 等待用户决策。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pace Review AI skill do?

Why use Pace Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arch-team/devpace/tree/main/skills/pace-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pace 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 Pace Review?

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

Is the Pace Review AI skill free?

Yes. It is published on GitHub by arch-team 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

/pace-review — 生成 Review 摘要

输入

流程

Step 1：识别待 review 的变更

Step 2：确定 Review 模式并按需加载

Step 3：生成摘要

Step 4：等待人类决策

输出

Bundled files

Frequently asked questions

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