Pace Status

Community

arch-team

pace-status

Use when user asks "进度怎样", "做到哪了", "项目状态", "当前状态", "进展", "看看进度", "总览", "dashboard", "pace-status", or wants to see project development progress and current state overview. NOT for next-step recommendations (use /pace-next).

Overview

Publisher	arch-team
Repository	`devpace`
Skill name	`pace-status`
Stars	73
Forks	6
Bundled files	9
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.
9 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 Status 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-status
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-status .claude/skills/pace-status

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

Use it in TypingMind

Enable Pace Status 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 Status 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 Status 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-status — 查看项目状态

按不同粒度展示项目研发状态。L1 概览回答"整体怎样"，L2 detail（广度）和 trace（深度）是正交视角，L3 tree 展示全貌。

输入

$ARGUMENTS：

视角层（由 /pace-role 管理，显式子命令 > 自动适配）：biz | pm | dev | tester | ops | chain

修饰符：since <时间> 时间段变更摘要（3d/1w/last-session），可与其他子命令组合

执行路由

重要：根据 $ARGUMENTS 匹配的子命令，仅读取对应的 procedures 文件，不加载其他 procedures。

子命令	加载文件	说明
（空）	`skills/pace-status/status-procedures-overview.md`	进度条 + 建议下一步 + 同步摘要 + 附加行上限
`detail`	`skills/pace-status/status-procedures-detail.md`	功能树格式 + 同步标记 + 角色适配 + 导航
`trace <名称>`	`skills/pace-status/status-procedures-trace.md`	匹配规则 + 3 种追溯格式 + 导航
`metrics [类别]`	`skills/pace-status/status-procedures-metrics.md`	实时快照（≠ pace-retro 回顾报告）+ 趋势箭头 + 类别聚焦 + 导航
`tree`	`skills/pace-status/status-procedures-tree.md`	完整价值链格式（含 Epic 链接层）+ 导航
`since <时间>`	`skills/pace-status/status-procedures-since.md`	时间标记解析 + 数据采集 + 组合规则
`chain`	`skills/pace-status/status-procedures-chain.md`	价值链定位格式 + 导航
`<关键词>`	`skills/pace-status/status-procedures-keyword.md`	搜索逻辑 + fallback 引导
`biz/pm/dev/tester/ops`	`skills/pace-status/status-procedures-roles.md`	5 种角色视图格式 + 优先级规则 + 导航

角色适配（所有子命令的前置步骤）

有显式角色子命令（biz/pm/dev/tester/ops）→ 按对应视角输出
无显式角色 → 读取 pace-role 设置 → 有则自动调整关注点
无角色设置 → 默认全视角
首次适配教学（§15 role_adapt 标记去重）：末尾追加 （提示：当前按 [角色] 视角输出，切换：/pace-role [biz|pm|dev|tester|ops]）

输出

按请求粒度展示的项目状态。自然语言为主，不主动暴露 ID。非概览子命令末尾追加 1 行导航提示。

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 Status AI skill do?

Why use Pace Status on TypingMind?

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

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

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 Status?

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

Is the Pace Status 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-status — 查看项目状态

输入

执行路由

角色适配（所有子命令的前置步骤）

输出

Bundled files

Frequently asked questions

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