将成功解决的用户问题收录到 FAQ 知识库。问题解决后自动判断是否收录。也可以在用户说"收录到 FAQ"、"记录这个问题"、"add to FAQ"时手动触发。
| Publisher | CherryHQ |
| Repository | cherry-studio |
| Skill name | faq-collector |
| Stars | 52.5K |
| Forks | 5.1K |
| Bundled files | Instructions only |
| License | AGPL-3.0 |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Everything the model needs lives in the instructions — no extra files to sync.
Published by CherryHQ on GitHub. Read the source before you install it.
Install the Faq Collector AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
https://github.com/CherryHQ/cherry-studio/tree/main/resources/builtin-agents/cherry-assistant/.claude/skills/faq-collectorAny agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.
git clone --depth 1 https://github.com/CherryHQ/cherry-studio.git /tmp/cherry-studio
mkdir -p .claude/skills
cp -r /tmp/cherry-studio/resources/builtin-agents/cherry-assistant/.claude/skills/faq-collector .claude/skills/faq-collectorEnable Faq Collector 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.
AI skills are plain Markdown instructions rather than provider-specific code, so Faq Collector 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.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
收录标准: 通用性高、有明确方案、配置/操作类、非直觉问题。不收录: 纯个人环境问题、已有相同条目、未解决问题。
文件: <project_root>/.cherry-assistant/faq.md（目录不存在则 mkdir -p .cherry-assistant 创建）
条目格式（追加到末尾）:
markdown### Q: [通用化问题表述] **A:** [简洁方案] [分步骤操作] - **关键词**: [逗号分隔] - **相关文件/Issue**: [路径或#编号] - **版本**: vX.X.X | **收录日期**: YYYY-MM-DD ---
流程: 问题解决→判断收录标准→读FAQ查重→无重复则通用化后追加→有相似但更好则更新
搜索匹配: 用户提问时先读FAQ关键词匹配→命中直接给答案→未命中走正常诊断
与 Issue Reporter 协作: 先收录FAQ(记录方案)→如果是Bug再提Issue→FAQ记关联Issue编号
将成功解决的用户问题收录到 FAQ 知识库。问题解决后自动判断是否收录。也可以在用户说"收录到 FAQ"、"记录这个问题"、"add to FAQ"时手动触发。
Because you install it once and use it with any model. Faq Collector 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.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CherryHQ/cherry-studio/tree/main/resources/builtin-agents/cherry-assistant/.claude/skills/faq-collector. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
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.
As many as you like. As long as a model supports skills, you can use Faq Collector with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Yes. It is published on GitHub by CherryHQ under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.
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.
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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