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chat2kbchat2kb 开发

Agent Skill

chat2kb 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,834

周安装

163

GitHub Stars

公开资料未说明

下载量

1,343
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:chat2kb(chat2kb 开发)
来源仓库:https://github.com/extraterrest/chat2kb
安装命令:
openclaw skills install chat2kb
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install chat2kb

简介

将聊天对话转为结构化 Markdown 知识库文件,便于长期保存与检索。

  • 适合在 OpenClaw 中需要归档项目讨论或构建个人知识体系时使用。
  • 通过 clawhub 安装,支持自定义目录结构与元数据标记。
  • 安装前建议确认输出格式是否符合团队文档标准。
  • 注意该技能保留原始对话顺序,但可能需人工补充分类标签。

SKILL.md

name
chat2kb
description
Convert chat conversations into structured Markdown knowledge-base files. Use when the user wants to save, capture, export, or document a conversation, including requests like "save this conversation", "export our discussion", "generate KB", "turn this into notes", "保存对话", "生成知识库", "转成KB", or "导出笔记".
license
MIT
metadata

Chat2KB for OpenClaw

Convert chat history into clean, structured Markdown knowledge-base files.

When To Use

Use this skill when the user wants to:

  • save the current conversation as notes or KB
  • export part or all of a discussion into Markdown
  • turn a design/debug/brainstorming thread into reusable documentation
  • update a previously saved KB entry with new discussion content

If the request is ambiguous, ask one short clarification question instead of skipping the export flow.

OpenClaw Workflow

Step 1: Detect topics

Read the relevant conversation scope and identify distinct topics.

  • If the user specified a time range or topic, honor that first
  • If only one topic is present, continue directly
  • If multiple topics are present, present a numbered list
  • Support all to save each topic separately
  • Support combine to merge selected topics into one KB file

Use this format when multiple topics are found:

Detected 3 topics:

1. [Title]
   [One-sentence summary]

2. [Title]
   [One-sentence summary]

3. [Title]
   [One-sentence summary]

Which topics would you like to save?
-> Enter numbers, e.g. 1,3
-> Enter all
-> Enter combine

Step 2: Check for previous export

Before generating a new file, scan the conversation for a previous conversation_id for the same topic.

  • If no previous export exists, generate a new ID
  • If a previous export exists, ask whether to update, append, or create a new KB

Conversation ID format:

kb_{YYYYMMDD}_{HHMMSS}_{6hex}
Example: kb_20260410_143052_a7c9e2

Generation:

CONVERSATION_ID="kb_$(date +%Y%m%d_%H%M%S)_$(openssl rand -hex 3)"

Use this prompt when a previous export exists:

Found a previous KB for this topic (ID: kb_20260410_143052_a7c9e2)

-> A: Update (regenerate the full KB with all content)
-> B: Append (export only content added since last save)
-> C: New (ignore previous KB, create an independent one)

Step 3: Extract content

For each selected topic, extract:

  • summary: 1-2 paragraph overview
  • key_points: grouped by theme, not chronology
  • code_examples: only if code was discussed
  • action_items: completed and pending items

Extraction rules:

  • preserve technical accuracy over elegance
  • group related ideas by theme
  • prefer decisions, tradeoffs, and takeaways over transcript-like detail
  • include code only when it helps future reuse
  • omit empty sections instead of leaving placeholders

Step 4: Generate Markdown

Use this structure:

---
conversation_id: kb_20260410_143052_a7c9e2
created_at: YYYY-MM-DDTHH:MM:SSZ
updated_at: YYYY-MM-DDTHH:MM:SSZ
export_type: full
topics: [tag1, tag2]
language: en
participants: [User, Assistant]
platform: openclaw
word_count: 342
---

# [Topic Title]

**Date**: YYYY-MM-DD

## Summary

[1-2 paragraphs]

## Key Points

### [Theme 1]
- insight
- detail

### [Theme 2]
- insight

## Code Examples

// code


## Action Items

- [x] Done item
- [ ] Pending item

Rules:

  • group by theme, not chronology
  • use bullet points in Key Points
  • omit Code Examples if no code was discussed
  • omit Action Items if none exist
  • do not include a full transcript
  • set word_count to the total number of words in the body (excluding frontmatter)

Step 5: Preview before writing

Always show the generated Markdown before writing the file.

Use this preview structure:

Preview (not saved yet)

[full Markdown content]

Will save to: /path/to/YYYY-MM-DD-topic-slug.md

-> Y Save
-> E Edit summary
-> N Cancel

If the user chooses E, accept the revised summary, regenerate the preview, and ask again.

Step 6: Resolve save path and write

Resolve the save path in this order:

  1. ~/.chat2kb/config.yml
  2. CHAT2KB_FOLDER
  3. ask the user

Config file example:

kb_folder: ~/Documents/KnowledgeBase
dry_run: false
create_backup: true
log_level: info

Environment overrides:

VariablePurpose
CHAT2KB_FOLDERKB save location
CHAT2KB_DRY_RUNtrue = preview only
CHAT2KB_LOG_LEVELLogging verbosity

Write behavior:

  • create the directory if needed
  • use filename YYYY-MM-DD-<topic-slug>.md
  • for incremental export use YYYY-MM-DD-<topic-slug>-part{N}.md
  • if config dry_run: true or CHAT2KB_DRY_RUN=true, do not write the file; clearly report preview-only mode
  • if overwriting and create_backup: true, create a backup first

Slug rules

The <topic-slug> in the filename must follow these rules:

  • lowercase alphanumeric and hyphens only
  • no leading or trailing hyphens
  • maximum 50 characters
  • derived from the conversation topic

Examples:

  • 2026-04-10-react-performance-optimization.md
  • 2026-04-10-react-performance-optimization-and-other-things.md ❌ too long
  • 2026-04-10--react.md ❌ double hyphen

Step 7: Confirm success

After writing, report:

  • saved file path
  • filename
  • conversation_id

Use this format:

Knowledge base saved!

Location: /absolute/path/to/2026-04-10-react-optimization.md
ID: kb_20260410_143052_a7c9e2

If running in dry-run mode, say so explicitly:

Dry run complete — preview generated, no file written.

Error Handling

Cannot write to folder

Cannot write to folder: /path/to/folder
Reason: directory does not exist or no write permission

Suggested fixes:

  • create the directory
  • check write permissions
  • ask the user for an alternate save location

No content found

No content to export.
Reason: no messages found in the selected time range.

Suggested fixes:

  • export the full conversation
  • widen the requested time range

File conflict

File already exists: 2026-04-10-react-optimization.md
-> A: Overwrite
-> B: Rename
-> C: Cancel

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.37%
按下载量换算1,281

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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