super-Knowledge Capture for Openclaw

Seamlessly transform raw team conversations and transcripts into structured, searchable Notion pages.

subaru0573
v1.0.0
Jul 1, 2026
0
423
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install super-knowledge-capture

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install super-knowledge-capture using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is super-Knowledge Capture?

The super-Knowledge Capture skill acts as an intelligent bridge between collaborative team conversations and your central knowledge repository. Unstructured chats, messy transcripts, and brain-dump notes are often lost in the daily noise. This integration systematically parses that raw text to extract core highlights, actionable items, and administrative details, formatting them beautifully within Notion databases.

Designed to run fluidly alongside other Openclaw Skills, this feature eliminates the friction of manual administrative work. It allows developers, product managers, and system administrators to maintain live documentation with minimum manual entry, fostering better transparency and long-term knowledge retention across any workspace.

super-Knowledge Capture Use Cases

  • Structured Meeting Summaries: Convert lengthy sync recordings or voice transcripts into concise summaries with designated actions.
  • Architectural Decision Records (ADRs): Formally archive casual engineering Slack chat debates directly into your architectural design records.
  • User Research Compilation: Collate raw user feedback sessions and customer calls into highly readable Notion profiles.
  • Brainstorm Archival: Capture messy whiteboard transcriptions and dynamic team ideation sessions using your Openclaw Skills database system.

How super-Knowledge Capture Works

  1. Ingest Conversations: The system consumes raw conversational text, meeting transcripts, or chat logs.
  2. Analyze and Extract: Advanced text processing extracts core decisions, participant mentions, dates, and action items.
  3. Map to Schema: Structure identified data into key metadata properties matching your Notion database properties.
  4. Publish Page: Generate and format the final document within Notion using the appropriate page blocks.
  5. Establish Connections: Sync relationships and configure backlink directories across existing Openclaw Skills to maintain consistency.

super-Knowledge Capture Setup

Configure the core variables below to deploy this system within your local setup.

# Configure environment variables with your Notion tokens
export NOTION_API_TOKEN="your_secret_notion_token"
export NOTION_DATABASE_ID="your_notion_database_uuid"

# Enable the skill in your project workspace
openclaw install super-knowledge-capture
openclaw run

Ensure that your Notion integration token has full access to read and write database content in your target workspace directory.

super-Knowledge Capture Data Schema & Taxonomy

This skill structures extracted conversations into a structured table format within your workspace, utilizing the following metadata configuration:

Attribute Notion Type Description
Title Title Name of the meeting, chat, or decision topic
Date Date ISO timestamp of the session
Participants Multi-select List of attendees or contributors
Action Items Relation / Checklist Tasks automatically mapped with target deadlines
Category Select Automated taxonomical classification (e.g., Support, Engineering)

The page body is organized following a strict structural markdown hierarchy:

  • H1: Executive Summary
  • H2: Key Insights & Discussion Points
  • H2: Decided Outcomes
  • H2: Actions & Ownership Matrix

super-Knowledge Capture Advanced Features

  • Intelligent Action Matrix: Automatically assigns tasks to specific team members by matching their names or email handles during the extraction process.
  • Modular Document Templates: Supports matching inputs dynamically with standard page templates for consistent formatting across Openclaw Skills.
  • Contextual Interlinking: Automatically links newly generated transcripts to historical logs containing matching keywords or recurring projects.

SKILL.md


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