agentsclimarketplace

Faq collector

Skill CherryHQ/cherry-studio/resources/builtin-agents/cherry-assistant/.claude/skills/faq-collector

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。From its SKILL.md

Install
npx -y skills add CherryHQ/cherry-studio --skill faq-collector

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • runs commandsInstructs the agent to run 1 command, including `mkdir -p .cherry-assistant`.

SKILL.md

1.1 KB, 310 tokens by cl100k_base, as published. Nobody here has run it

FAQ Collector

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):

### 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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most customer support skills give in 310 tokens

Counted across 123 of the 124 authors here whose files we hold, read 2026-08-07

  • Call RUBE_SEARCH_TOOLS first to get current schemasin 12 of 123, across 4 files
  • Confirm connection status is ACTIVE before running workflowsin 12 of 123, across 4 files
  • Stop and ask for clarification if required inputs are missingin 9 of 123, across 2 files
  • Call RUBE_MANAGE_CONNECTIONS with the helpdesk toolkitin 9 of 123, across 2 files
  • Use both timestamp and ID for cursor navigationin 8 of 123, across 1 file
  • Implement backoff on 429 responsesin 8 of 123, across 1 file
  • Parse response data defensively with fallback patternsin 8 of 123, across 1 file
  • Use this skill only when the task clearly matches the scopein 8 of 123, across 1 file
  • Pass a JSON file as the positional argumentin 7 of 123, across 1 file
  • Specify output format with the --format flagin 7 of 123, across 1 file
  • Run health, churn, and expansion scripts togetherin 7 of 123, across 1 file
  • Verify output files contain expected records before continuingin 7 of 123, across 1 file

Said here and by no other author read

  • Check inclusion criteria after a problem is solved
  • Read the existing FAQ for duplicates before adding
  • Generalize the question before adding it
  • Append new entries to the end of the file
  • Update existing entries if a better solution is found
  • Create the directory if it does not exist

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.