A professional AI agent skill designed to transform raw meeting transcripts into structured, exhaustive, and high-word-count meeting minutes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meeting-notes-generator-
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install meeting-notes-generator- 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 Meeting Notes Generator?
Meeting Notes Generator is a sophisticated tool within the Openclaw Skills ecosystem tailored for professionals who require meticulous documentation. Unlike standard summarizers that omit details for brevity, this skill employs a rigorous four-round processing workflow to ensure 100% information retention and a minimum length of 2000 words. It is specifically optimized for complex discussions where every technical detail, decision, and action item must be preserved.
By leveraging the DeepSeek API, the skill parses PDF and Word documents to identify participants, agendas, and key arguments. It provides a structured output that includes basic meeting information, multi-agenda discussions, and final validation reports, ensuring that the final delivery meets the highest corporate standards for formal archiving.
Meeting Notes Generator Use Cases
- Transforming raw audio-to-text transcripts into formal corporate meeting minutes.
- Ensuring zero information loss for legal, technical, or high-stakes board meetings.
- Expanding brief meeting notes into detailed, 2000-word comprehensive reports for documentation.
- Extracting structured action items and decision points from messy, unstructured conversational data.
- Batch processing multiple meeting recordings into standardized PDF or Word formats.
How Meeting Notes Generator Works
- The user uploads a PDF or Word document containing raw meeting transcripts or recordings-to-text.
- The skill extracts content using specialized parsers to ensure the original text is fully captured.
- Round 1 (Structured Extraction): AI identifies core agendas and maps every discussion point to a specific topic.
- Round 2 (Sentence-by-Sentence Validation): The system compares the draft against the source, targeting a 100% coverage rate and identifying any missing details.
- Round 3 (Forced Expansion): Missing information is integrated, and discussion points are elaborated upon to meet the minimum 2000-word requirement without adding false information.
- Round 4 (Quality Audit): A final check validates word counts and formatting before generating the final output.
Meeting Notes Generator Setup
To integrate this skill into your agent workflow, ensure your environment supports PDF/Word parsing and DeepSeek API access. Use the following commands to get started:
# Install the Openclaw Skills CLI
npm install -g @openclaw/cli
# Add the meeting notes generator skill
openclaw add meeting-notes-generator
# Configure your output preferences
openclaw config set meeting_notes_output_format pdf
Meeting Notes Generator Data Schema & Taxonomy
The skill organizes data into a structured hierarchy to maintain clarity across long documents:
| Section | Description | Data Points |
|---|---|---|
| Basic Info | Meeting Metadata | Date, Location, Participants, Moderator |
| Discussion | Agenda-based Points | Theme Name, Key Points (Topic 1..N) |
| Validation | Quality Metrics | Final Word Count, Coverage %, Validation Status |
| Output | Document Export | Formatted PDF (Kaiti font, 1.5 spacing) or Editable Word |
All generated files follow a standardized naming convention: [Source_Name]_Minutes_YYYYMMDD.pdf.
Meeting Notes Generator Advanced Features
- Multi-round iterative refinement (up to 4 rounds) for extreme accuracy.
- Automatic correction of company names and technical terms misinterpreted by STT (Speech-to-Text) engines.
- Mandatory word count enforcement (2000+ words) for exhaustive reporting.
- Support for batch processing up to 5 documents simultaneously.
- Customizable output templates for formal archiving vs. quick editing.
SKILL.md
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