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Pace Release

Community
arch-team
pace-release

Use when user says "发布", "部署", "上线", "release", "pace-release", or wants to create, deploy, or close a release. NOT for CI/CD pipeline management (use /pace-sync). NOT for code implementation (use /pace-dev).

Overview

Publisherarch-team
Repositorydevpace
Skill namepace-release
Stars
73
Forks
6
Bundled files
16
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.

  • 16 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 Release 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-release
  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-release .claude/skills/pace-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pace Release 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 Release 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 Release 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-release — 发布管理

可选功能:如果你没有正式的发布流程,不需要使用这个命令。任务 merged 就是你的完成点,不需要 Release 管理。

管理 Release 生命周期:收集候选变更 → 创建 Release → 追踪部署 → 验证 → 关闭。支持 Changelog、版本 bump、Git Tag、GitHub Release、Release Notes 和发布分支管理。

推荐使用流程

标准发布:  create → deploy → verify → close
快速查看:  status(或无参数启动引导向导)
单步操作:  changelog / version / tag / notes(独立使用)
回滚处理:  rollback → 创建 hotfix CR → 新 create
历史回顾:  status history

输入

$ARGUMENTS:

日常使用(大多数场景只需这些):

  • create → 创建新 Release(收集 merged CR + Gate 4 检查)
  • deploy → 记录部署操作(支持多环境晋升)
  • verify → 执行验证清单(支持自动化验证)
  • close → 完成发布(自动 changelog + 版本 bump + tag + 连锁更新)
  • full → close 的推荐别名(语义更明确)
  • status → 查看当前 Release 状态和建议下一步
  • (空)→ 引导式发布向导(推荐新用户使用)

单独使用(当你只需要其中某个步骤时):

  • changelog → 仅生成 CHANGELOG.md
  • version → 仅更新版本文件
  • tag → 仅创建 Git Tag / GitHub Release
  • notes → 生成面向用户的 Release Notes(按 Epic→BR→PF 组织,支持 --role biz|ops|pm)
  • branch → 管理发布分支(创建 / PR / 合并)
  • rollback → 记录回滚(deployed 状态下出现严重问题时)
  • status history → 发布历史时间线(跨 Release 纵向视图 + DORA 趋势)

执行路由

根据子命令,只读取路由表中对应的 procedures 文件,不加载其他 procedures 文件。

核心操作固定加载

core 子命令(create/deploy/verify/close/full)加载 skills/pace-release/release-procedures-common.md(发布规则 + 集成规则 + 版本推断 SSOT)。

按子命令加载

参数加载文件说明
(空)skills/pace-release/release-procedures-wizard.md自包含;引导式向导(含 rolled_back 追踪)
createskills/pace-release/release-procedures-common.md + skills/pace-release/release-procedures-create.md;CR>3 或有 config.md 时追加 skills/pace-release/release-procedures-create-enhanced.md分层加载
deployskills/pace-release/release-procedures-common.md + skills/pace-release/release-procedures-deploy.md环境晋升 + 路径全景
verifyskills/pace-release/release-procedures-common.md + skills/pace-release/release-procedures-verify.md自动健康检查 + 问题处理
close / fullskills/pace-release/release-procedures-common.md + skills/pace-release/release-procedures-close.md;步骤 1-3 按执行进度加载 skills/pace-release/release-procedures-changelog.md / skills/pace-release/release-procedures-version.md / skills/pace-release/release-procedures-tag.md步进式增量加载
changelogskills/pace-release/release-procedures-changelog.md自包含
versionskills/pace-release/release-procedures-version.md自包含(含精简版本推断规则)
tagskills/pace-release/release-procedures-tag.md自包含
rollbackskills/pace-release/release-procedures-rollback.md自包含(含候选预填)
notesskills/pace-release/release-procedures-notes.md自包含(支持 --role biz|ops|pm)
branchskills/pace-release/release-procedures-branch.md自包含
status / status historyskills/pace-release/release-procedures-status.md自包含

skills/pace-release/release-procedures-scheduling.md 不对应用户子命令,由 wizard(发布窗口提醒)或 pace-pulse 按需加载。

输出

Release 操作结果摘要(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 Release AI skill do?

Use when user says "发布", "部署", "上线", "release", "pace-release", or wants to create, deploy, or close a release. NOT for CI/CD pipeline management (use /pace-sync). NOT for code implementation (use /pace-dev).

Why use Pace Release on TypingMind?

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

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

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 Release?

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

Is the Pace Release 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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