Process Fireflies meeting transcripts to extract action items, create GitHub issues, compare against existing work, and generate EOS Level 10 Meeting summaries. Use after team meetings or when the user mentions meetings, Fireflies, L10, or action item extraction.
Quickly install process-meeting-notes AI skill to your development environment via command line
Source: skinnyandbald/fish-skills.
This skill processes meeting transcripts from Fireflies and converts them into actionable GitHub issues with EOS Level 10 Meeting documentation. It works with any repository you're currently in.
| 1, "recent", "latest", "today" | workflows/process-recent-meeting.md | | 2, "search", "find", "specific" | workflows/search-meeting.md | | 3, "create", "notes", "issues" | workflows/create-issues-from-notes.md | | 4, "summary", "L10", "EOS" | workflows/generate-l10-summary.md |
EOS Framework: eos-level-10-format.md GitHub Integration: github-project-config.md (dynamic detection patterns)
Process Fireflies meeting transcripts to extract action items, create GitHub issues, compare against existing work, and generate EOS Level 10 Meeting summaries. Use after team meetings or when the user mentions meetings, Fireflies, L10, or action item extraction. Source: skinnyandbald/fish-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/skinnyandbald/fish-skills --skill process-meeting-notesProcess Fireflies meeting transcripts to extract action items, create GitHub issues, compare against existing work, and generate EOS Level 10 Meeting summaries. Use after team meetings or when the user mentions meetings, Fireflies, L10, or action item extraction. Source: skinnyandbald/fish-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/skinnyandbald/fish-skills --skill process-meeting-notes Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/skinnyandbald/fish-skills