Pace Dev

Community

arch-team

pace-dev

Use when user says "开始做", "帮我改", "实现", "修复", "继续推进", "编码", "写代码", "开发", "重构", "做个", "coding", "implement", "fix", "refactor", "build", /pace-dev, or explicitly requests to start/continue/resume coding work. "帮我改" only when target is code/UI/config. NOT for requirement changes (/pace-change), code review (/pace-review), tests (/pace-test), or production issues (/pace-feedback).

Overview

Publisher	arch-team
Repository	`devpace`
Skill name	`pace-dev`
Stars	73
Forks	6
Bundled files	6
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.
6 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 Dev 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-dev
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-dev .claude/skills/pace-dev

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

Use it in TypingMind

Enable Pace Dev 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 Dev 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 Dev 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-dev — 推进变更请求

进入推进模式，开始或继续推进一个变更。

输入

$ARGUMENTS：

（空）→ 自动选择 state.md 中的"下一步"
<功能描述> → 指定要推进的功能（自然语言匹配）
#<N> → 按 CR 编号直接定位（如 #3 → CR-003）
--last → 定位上一个操作过的 CR（从 state.md 或最近 git log 推断）
--batch → 连续推进模式：批量推进迭代内多个 S 复杂度 PF，最后统一审批

执行路由

重要：根据 CR 的当前状态和类型，仅读取对应的 procedures 文件，不加载其他 procedures。

固定加载

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

按 CR 状态加载

CR 状态	加载文件	说明
`created`（首次进入 developing）	`skills/pace-dev/dev-procedures-intent.md`	意图检查点 + 复杂度评估 + 执行计划
`developing`（已在推进中）	`skills/pace-dev/dev-procedures-developing.md`	漂移检测 + 步骤隔离 + checkpoint
`verifying` / `in_review`	`skills/pace-dev/dev-procedures-gate.md`	Gate 通过反思
`merged` / CR 新创建	`skills/pace-dev/dev-procedures-postmerge.md`	功能发现 + PF 溢出检查

按 CR 类型追加加载

CR 类型	追加文件	说明
`defect` / `hotfix`	`skills/pace-dev/dev-procedures-defect.md`	特殊创建 + 修复后处理

流程

Step 1：定位变更请求

#N 参数 → 直接读取 .devpace/backlog/CR-00N.md（编号补零匹配）
--last 参数 → 从 state.md "进行中"项推断，或 git log --oneline -5 中最近操作的 CR
有自然语言参数 → 在 .devpace/backlog/ 中按标题关键词匹配
无参数 → 读取 .devpace/state.md 的"下一步"
未找到对应 CR → 自动创建（格式参考 Plugin knowledge/_schema/entity/cr-format.md）并更新 project.md 价值功能树（在匹配的 PF 行追加 → CR-xxx ⏳）
找到被阻塞的 CR → 告知用户阻塞原因，建议替代

CR 类型判断：

用户意图为修复缺陷 → type:defect（触发词："修复""fix""bug""缺陷"）
用户意图为紧急修复 → type:hotfix（触发词："紧急""hotfix""线上问题""生产故障"）
其他 → type:feature（默认）
defect/hotfix 必须填写 severity，由 Claude 根据描述自动建议

Step 2：加载上下文

读取 CR 文件：状态、质量检查、事件记录
读取 .devpace/rules/workflow.md：当前阶段的准出条件
读取 .devpace/rules/checks.md：质量检查检查项
用 1 句话告知用户："从 [上次进度] 继续。"

Step 2.5：意图检查点

仅在 CR 状态为 created（首次进入 developing）时执行。已在 developing 或更后阶段的 CR 跳过此步。

根据 CR 状态和类型，按上方执行路由表加载对应的 procedures 文件。根据变更复杂度（简单/标准/复杂）自适应执行意图明确。对用户只说"明确了范围，开始做。"

Step 3：自治推进

进入推进模式，自主工作。遵循推进模式行为约束（rules/devpace-rules.md §2）和按执行路由表加载的 procedures 文件（权威源）：

编码、测试、验证——不需要用户确认每一步
质量检查不通过 → 自行修复重试
每个原子步骤后：git commit + 更新 CR 事件 + 更新 state.md

停止条件（满足任一）： a. 所有自动质量检查通过 → 到达 in_review → 自动运行 /pace-review 逻辑 b. 遇到需要用户决策的技术问题 → 询问用户 c. 会话即将结束 → 保存 checkpoint

Step 4：更新状态

更新 CR 文件（质量检查 checkbox、事件记录）
更新 .devpace/state.md（当前进度、下一步）
更新 project.md 功能树中关联 CR 的状态 emoji（如 ⏳→🔄→✅）；如果 PF 的所有 CR 均 merged → PF 行 emoji 更新为 ✅

输出

推进结果摘要（3-5 行）。

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 Dev AI skill do?

Why use Pace Dev on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arch-team/devpace/tree/main/skills/pace-dev. 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 Dev?

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 Dev?

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

Is the Pace Dev 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-dev — 推进变更请求

输入

执行路由

固定加载

按 CR 状态加载

按 CR 类型追加加载

流程

Step 1：定位变更请求

Step 2：加载上下文

Step 2.5：意图检查点

Step 3：自治推进

Step 4：更新状态

输出

Bundled files

Frequently asked questions

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