Pace Feedback

Community

arch-team

pace-feedback

Use when user reports issues, shares feedback, or receives production alerts — "用户反馈", "线上问题", "生产问题", "告警", "改进建议", "新需求", "体验问题", "功能请求", "线上bug", "运维", "事件", "incident", "故障", "P0", "P1", "严重故障", "postmortem", "事后复盘". NOT for code implementation or development (use /pace-dev). NOT for requirement changes (use /pace-change).

Overview

Publisher	arch-team
Repository	`devpace`
Skill name	`pace-feedback`
Stars	73
Forks	6
Bundled files	7
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.
7 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 Feedback 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-feedback
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-feedback .claude/skills/pace-feedback

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

Use it in TypingMind

Enable Pace Feedback 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 Feedback 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 Feedback 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-feedback — 反馈收集与事件处理

可选功能：用于系统化收集上线后反馈和处理生产事件。简单场景直接说"用户反馈了 X 问题"或"线上有个 bug"即可。

收集上线后反馈和生产环境问题，关联到价值链（目标→Epic→功能→任务），闭合"交付→反馈→改进"循环和"部署→反馈→修复"循环。反馈可关联到 Epic 和 Opportunity（如来源为已有客户反馈）。每条反馈分配唯一 FB-ID，全生命周期可追踪。

输入

$ARGUMENTS：

report <问题描述> → 紧急通道：跳过分诊，自动进入"生产事件"分支并启用加速路径评估（仅 hotfix/critical 场景自动建议加速）
incident open <描述> → 创建事件记录（严重度评估 + 时间线初始化）
incident close <INCIDENT-xxx> → 关闭事件 + 生成 postmortem 模板
incident timeline <INCIDENT-xxx> → 查看事件时间线
incident list → 列出所有事件（支持 --open 筛选）
<反馈描述> → 走分诊流程（分类后路由）
（空）→ 引导式收集（渐进式两轮收集）

流程

通用规则见 skills/pace-feedback/feedback-procedures-common.md（每次加载）。按场景按需加载：

条件	加载文件
空参数 / 信息不完整	`skills/pace-feedback/feedback-procedures-intake.md`
分类为生产事件 / 缺陷	`skills/pace-feedback/feedback-procedures-trace.md`
severity ≥ major 或 report 参数	`skills/pace-feedback/feedback-procedures-hotfix.md`
创建 defect/hotfix CR	`skills/pace-feedback/feedback-procedures-analysis.md`
Step 5 状态更新	`skills/pace-feedback/feedback-procedures-status.md`
incident open / close / timeline / list	`skills/pace-feedback/feedback-procedures-incident.md`

incident 子命令执行路由

子命令	读取	写入	规程文件
incident open	state.md, backlog/, releases/	incidents/INCIDENT-xxx.md	skills/pace-feedback/feedback-procedures-incident.md
incident close	incidents/INCIDENT-xxx.md, backlog/	incidents/INCIDENT-xxx.md	skills/pace-feedback/feedback-procedures-incident.md
incident timeline	incidents/INCIDENT-xxx.md	（只读）	skills/pace-feedback/feedback-procedures-incident.md
incident list	incidents/	（只读）	skills/pace-feedback/feedback-procedures-incident.md

Step 0：草稿恢复检查

检查 .devpace/backlog/FEEDBACK-DRAFT.md 是否存在（详见 common）：

存在 → 提示恢复 / 放弃
不存在 → 继续 Step 1

Step 1：分类反馈

类型	特征
生产事件	线上故障、报错、告警、影响用户
缺陷	功能不符合预期（非紧急）
改进	可用但不够好、体验问题
新需求	未覆盖的功能请求
记录待定	信息模糊、分类不确定、暂不处理

Step 2-6：执行处理

按分类路由到对应 procedures 文件执行。详细步骤见各 procedures 文件。

输出

反馈处理结果摘要（3-5 行）：FB-ID + 分类 + 严重度（如适用）+ 关联 PF + 创建的 CR（如适用）+ 建议下一步。

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 Feedback AI skill do?

Why use Pace Feedback on TypingMind?

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

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

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 Feedback?

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

Is the Pace Feedback 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-feedback — 反馈收集与事件处理

输入

流程

incident 子命令执行路由

Step 0：草稿恢复检查

Step 1：分类反馈

Step 2-6：执行处理

输出

Bundled files

Frequently asked questions

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