Extract and archive Granola meeting notes with AI intelligence. Operations teams benefit from automated note processing, connecting to local workflows without data exposure.
git clone https://github.com/varadhjain/granola-claude-plugin.gitExtract and archive Granola meeting notes with AI intelligence. Operations teams benefit from automated note processing, connecting to local workflows without data exposure.
["Install the Granola-Claude plugin in your local environment or IDE (e.g., VS Code, Cursor).","Run the plugin with your Granola meeting link or exported meeting file (e.g., `.txt`, `.md`, or `.json`). Use the command: `granola extract --meeting [MEETING_LINK_OR_FILE_PATH] --output [OUTPUT_FILE_PATH]`","Review the generated report for accuracy. Manually adjust any misclassified items or missing context.","Integrate the output into your team's workflow. For example, paste the 'Action Items' table into your project management tool (e.g., Jira, Notion, or Linear) or share the report in Slack/Teams.","Archive the meeting notes by saving the output file to your team's shared drive (e.g., Google Drive, SharePoint) or version control system (e.g., GitHub)."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/varadhjain/granola-claude-pluginCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Extract and archive Granola meeting notes from [MEETING_LINK_OR_FILE_PATH]. Process the notes to identify: key decisions made, action items assigned with owners and due dates, and open questions. Format the output as a structured report with sections for 'Decisions', 'Action Items', and 'Open Questions'. Save the report to [OUTPUT_FILE_PATH] in markdown format.
### Granola Meeting Notes - Project Alpha Kickoff **Date:** 2023-11-15 **Duration:** 45 minutes **Attendees:** Sarah Chen (PM), Mark Rodriguez (Engineering Lead), Priya Patel (UX Designer), James Kim (QA Manager) --- #### **Decisions** 1. **Tech Stack Approval**: Approved Next.js + Tailwind for frontend, Node.js + PostgreSQL for backend. Voted 4-0. 2. **Sprint Timeline**: Agreed to 2-week sprints with a hard deadline of December 15 for MVP release. 3. **Budget Allocation**: $15,000 approved for third-party APIs (Stripe, Twilio) and $5,000 for testing tools (Selenium, Postman). --- #### **Action Items** | Task | Owner | Due Date | Status | |------|-------|----------|--------| | Set up CI/CD pipeline in GitHub Actions | Mark | 2023-11-18 | Pending | | Design wireframes for user onboarding flow | Priya | 2023-11-20 | In Progress | | Draft API documentation for Stripe integration | Sarah | 2023-11-22 | Pending | | Create test cases for login functionality | James | 2023-11-25 | Pending | --- #### **Open Questions** 1. **Data Retention Policy**: Need clarification from Legal on how long user data can be stored. (Assigned to: Sarah, Due: 2023-11-17) 2. **Third-Party Vendor Contracts**: Waiting on signed agreements from Stripe and Twilio. (Assigned to: Mark, Due: 2023-11-19) 3. **Accessibility Compliance**: Unsure if the current design meets WCAG 2.1 AA standards. (Assigned to: Priya, Due: 2023-11-21) --- **Archive Location:** `/meetings/project-alpha/2023-11-15_kickoff.md` **Processed By:** Granola AI Plugin v2.1.0 **Timestamp:** 2023-11-15 16:42:11 UTC
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