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Knowledge Capture

作者 Ang · GitHub ↗ · v0.1.0
cross-platform ⚠ suspicious
1670
总下载
1
收藏
12
当前安装
1
版本数
在 OpenClaw 中安装
/install knowledge-capture
功能描述
Transform conversations and discussions into structured Notion documentation
使用说明 (SKILL.md)

Overview

The Knowledge Capture skill transforms conversations, discussions, and unstructured information into organized, structured documentation in Notion. It helps you preserve institutional knowledge by capturing important conversations and converting them into actionable, well-formatted documentation.

When to Use

Use this skill when you need to:

  • Convert transcripts or conversation notes into structured documentation
  • Create meeting summaries with action items
  • Build knowledge base articles from discussions
  • Archive important conversations for future reference
  • Extract key insights and decisions from discussions

Features

  • Smart Content Extraction: Automatically identifies key points, decisions, and action items from conversations
  • Structured Organization: Creates well-organized Notion documents with proper hierarchy
  • Metadata Capture: Preserves participants, dates, and context information
  • Action Item Tracking: Extracts and formats action items with ownership and deadlines
  • Cross-linking: Automatically creates links to related documentation and team members

Requirements

  • Notion API Access: Integration token with appropriate permissions
  • Target Workspace: Notion workspace where documentation will be stored
  • Template (Optional): Pre-defined Notion template for consistent structure

Implementation Details

This skill uses the Notion API to:

  1. Parse input content (text, transcripts, or discussion notes)
  2. Extract key information using structural analysis
  3. Format content according to Notion document standards
  4. Create or update Notion pages with captured knowledge
  5. Maintain cross-references and relationships

Typical Workflow

Input: Conversation/Discussion
  ↓
Parse & Extract
  ↓
Identify: Key Points, Decisions, Action Items
  ↓
Format for Notion
  ↓
Create/Update Notion Document
  ↓
Output: Structured Documentation

Example Use Cases

  1. Team Meeting Notes

    • Input: Meeting transcript
    • Output: Organized meeting summary with decisions and next steps
  2. Customer Call Documentation

    • Input: Call notes and transcript
    • Output: Customer interaction record with key requirements
  3. Architecture Discussion

    • Input: Design discussion notes
    • Output: Architectural decision record with alternatives and rationale
  4. Interview Notes

    • Input: Interview transcript
    • Output: Structured candidate or user research documentation

Configuration

Set up these environment variables or Notion settings:

NOTION_API_TOKEN=your_token_here
NOTION_DATABASE_ID=your_database_id

See Also

安全使用建议
Before installing or enabling this skill: 1) Confirm the publisher/source and why registry metadata omits required env vars — ask the publisher to declare NOTION_API_TOKEN and NOTION_DATABASE_ID in the registry metadata. 2) Provide a least-privilege Notion integration token (limit to only the pages/databases needed) and a test workspace or database before using real, sensitive transcripts. 3) Verify exactly what content will be sent to Notion (full transcripts vs. extracted summaries) and whether the agent will automatically send data or wait for your approval. 4) If you are concerned about autonomous uploads, consider disabling autonomous invocation for this skill or requiring manual approval for each create/update action. 5) Test with synthetic or redacted data first. If the publisher cannot explain the metadata mismatch or provenance, treat the skill with caution or avoid installing it.
功能分析
Type: OpenClaw Skill Name: knowledge-capture Version: 0.1.0 The skill bundle is benign. It describes a 'knowledge-capture' skill designed to transform conversations into structured Notion documentation. The `SKILL.md` file outlines the purpose, features, and configuration (requiring `NOTION_API_TOKEN` and `NOTION_DATABASE_ID`), all of which are consistent with its stated function. There are no instructions for prompt injection, data exfiltration, malicious execution, or any other harmful behavior. The requested environment variables are standard for API integrations and are not misused or exfiltrated.
能力评估
Purpose & Capability
The skill's name and description match the instructions (using the Notion API to create/update pages from transcripts). Requesting a NOTION_API_TOKEN and NOTION_DATABASE_ID in the SKILL.md is appropriate for the stated purpose. However, the registry metadata did not list any required environment variables or primary credential, which is inconsistent with the documented need for Notion credentials.
Instruction Scope
SKILL.md stays within the stated purpose: parse transcripts, extract key points, and create Notion content. Instructions are high-level and do not direct the agent to read unrelated system files or other credentials. That said, the guidance is vague about data minimization (it does not limit what parts of a transcript are sent to Notion), giving the agent broad discretion to transmit potentially sensitive conversation content.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — nothing is downloaded or written to disk by the skill itself, which lowers installation risk.
Credentials
The SKILL.md explicitly asks for NOTION_API_TOKEN and NOTION_DATABASE_ID, which are proportional to the function. However, the registry metadata lists no required env vars or primary credential, creating a discrepancy. Additionally, because the skill will send conversation text to an external service (Notion), the user should be aware this involves transmitting potentially sensitive data and should ensure the token has least-privilege scopes and that the target workspace is appropriate.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation allowed (disable-model-invocation is false). There is no sign the skill requests permanent presence or alters other skills' configs. Autonomous invocation is normal, but combined with the missing metadata and unknown source it increases the need for caution.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install knowledge-capture
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /knowledge-capture 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release of the knowledge-capture skill. - Transforms unstructured conversations and discussions into organized Notion documentation. - Extracts and structures key points, decisions, and action items with context and participants. - Supports automatic action item tracking and cross-linking to related Notion content. - Designed for meeting summaries, customer calls, architecture discussions, and more. - Requires Notion API integration and allows use of templates for consistent documentation.
元数据
Slug knowledge-capture
版本 0.1.0
许可证
累计安装 15
当前安装数 12
历史版本数 1
常见问题

Knowledge Capture 是什么?

Transform conversations and discussions into structured Notion documentation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1670 次。

如何安装 Knowledge Capture?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install knowledge-capture」即可一键安装,无需额外配置。

Knowledge Capture 是免费的吗?

是的,Knowledge Capture 完全免费(开源免费),可自由下载、安装和使用。

Knowledge Capture 支持哪些平台?

Knowledge Capture 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Knowledge Capture?

由 Ang(@neptunear)开发并维护,当前版本 v0.1.0。

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