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Pace Init

Community
arch-team
pace-init

Use when user says "初始化", "pace-init", "开始追踪", "初始化研发管理", "新项目", "项目管理", "set up devpace", "健康检查 devpace", "重置 devpace", "预览初始化", or wants to set up, verify, or reset project development tracking. NOT for current progress overview (use /pace-status) or starting development (use /pace-dev).

Overview

Publisherarch-team
Repositorydevpace
Skill namepace-init
Stars
73
Forks
6
Bundled files
22
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 22 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 Init 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/arch-team/devpace/tree/main/skills/pace-init
  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/arch-team/devpace.git /tmp/devpace
mkdir -p .claude/skills
cp -r /tmp/devpace/skills/pace-init .claude/skills/pace-init
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pace Init 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 Init 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 Init 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-init — 初始化项目开发节奏管理

从模板初始化当前项目的 .devpace/ 目录。默认执行最小初始化（自动检测项目生命周期阶段，按阶段适配行为），full 执行分阶段完整流程（含愿景、战略上下文、OBJ 产品维度引导），--from 从文档自动生成功能树（支持 Epic 解析）。支持 --verify（健康检查）、--reset（重置）、--dry-run（预览）等子命令。

输入

$ARGUMENTS：可选。格式：

  • [项目名称] — 最小初始化（默认，生命周期感知）
  • [项目名称] full — 分阶段完整流程
  • [项目名称] --from <路径>... — 从文档生成功能树（支持目录和多文件）
  • --verify [--fix] — 健康检查（可选自动修复）
  • --dry-run — 预览初始化结果，不写入文件
  • --reset [--keep-insights] — 重置 .devpace/
  • --export-template — 导出当前配置为可复用模板
  • --from-template <路径> — 从模板初始化
  • --import-insights <路径> — 导入跨项目经验
  • --interactive — 强制对话模式（覆盖自动检测行为）

流程

Step 0：前置检查与路由

子命令路由（优先级高于初始化流程）：

  • --verify → 健康检查流程
  • --reset → 重置流程
  • --export-template / --from-template → 模板管理流程

标志处理：

  • --dry-run → 设置 dry-run 标志，继续正常流程但不写入任何文件

版本与状态检测：检查 .devpace/state.md 存在性和版本标记，决定全新初始化、增量迁移或提示重置（规则见 skills/pace-init/init-procedures-migration.md）。

Step 1-4：初始化执行

根据参数读取对应规程文件执行（仅读取匹配路径的规程文件）：

参数执行规程
（默认）[项目名]skills/pace-init/init-procedures-core.md
fullskills/pace-init/init-procedures-core.md + skills/pace-init/init-procedures-full.md
--from <路径>...skills/pace-init/init-procedures-core.md + skills/pace-init/init-procedures-from.md
--import-insights <路径>skills/pace-init/init-procedures-from.md（可与初始化组合或独立使用）
--verify [--fix]skills/pace-init/init-procedures-verify.md
--dry-runskills/pace-init/init-procedures-dryrun.md + skills/pace-init/init-procedures-core.md（仅 §1 检测逻辑，不执行 §2 文件生成）
--reset [--keep-insights]skills/pace-init/init-procedures-reset.md
--export-template / --from-templateskills/pace-init/init-procedures-template.md
（迁移触发时）skills/pace-init/init-procedures-migration.md
（检测到 monorepo 信号时）skills/pace-init/init-procedures-monorepo.md

输出

初始化完成的 .devpace/ 目录 + 确认摘要 + 下一步引导。--dry-run 时仅输出预览。--verify 时输出健康报告。--reset 时输出清理确认。

下一步引导（仅正常初始化和 --full 时）

确认摘要后追加情境化引导（§15 教学标记 init_complete 去重）：

项目状态引导内容
有源代码（src/ 或主语言文件 >10 个）"项目已就绪。建议先 /pace-biz infer 从代码推断已有功能和技术债务，再开始规划。"
有需求文档（--from 初始化，功能树已生成）"项目已就绪。功能树已生成，说'帮我做 [功能名]'开始第一个功能，或 /pace-plan 规划迭代。"
空项目（无源代码、无需求文档）"项目已就绪。说'我想做...'开始头脑风暴需求（/pace-biz discover），或直接说'帮我做 [功能名]'快速开始。"
通用（其他情况）"项目已就绪。说'帮我做 [功能名]'开始第一个功能，/pace-biz 规划业务需求，或 /pace-plan 规划迭代。"

检测规则：使用 skills/pace-init/init-procedures-core.md 的信号检测结果（源文件数、git 信号）判定项目状态，不额外扫描。

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 Init AI skill do?

Use when user says "初始化", "pace-init", "开始追踪", "初始化研发管理", "新项目", "项目管理", "set up devpace", "健康检查 devpace", "重置 devpace", "预览初始化", or wants to set up, verify, or reset project development tracking. NOT for current progress overview (use /pace-status) or starting development (use /pace-dev).

Why use Pace Init on TypingMind?

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

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

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 Init?

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

Is the Pace Init 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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