name: fireflies
prettier-ignore
description: "Use when finding meeting transcripts, searching Fireflies recordings, getting action items from calls, or answering 'what was discussed in the meeting' questions" version: 1.0.0 category: research triggers:
- "fireflies"
- "meeting transcript"
- "meeting notes"
- "what was discussed"
- "action items"
- "zoom call"
- "teams meeting"
- "google meet"
<objective> Query Fireflies.ai meeting transcripts - recorded calls with AI-generated summaries, action items, and searchable conversation history. Transform "what happened in that meeting?" into structured, actionable insights. </objective> <when-to-use> Use when finding meeting content, extracting action items, searching professional discussions, getting context from recorded calls, or building understanding from past meetings.
Clear triggers:
- "What meetings did I have today/this week?"
- "What was discussed in the [project] meeting?"
- "What were the action items from yesterday's call?"
- "Find meetings about [topic]" </when-to-use>
Today's meetings
fireflies today
Specific date
fireflies date 2026-01-28
Search by keyword
fireflies search "product roadmap" fireflies search "budget discussion"
Full transcript by ID
fireflies get abc123xyz
Your account info
fireflies me
</commands>
<response-format>
**List view includes:**
- id, title, duration, host, participants
- AI-generated overview and action items
**Full transcript includes:**
- Complete sentences with speaker names and timestamps
- Keywords, topics discussed, outline
- Extracted action items
</response-format>
<api-notes>
- Works with Zoom, Google Meet, Microsoft Teams
- Speaker names from calendar invites
- GraphQL API docs: [docs.fireflies.ai](https://docs.fireflies.ai)
</api-notes>
<llm-api-reference>
If you need to look up API details beyond this skill's commands, use Context7:
resolve-library-id: fireflies → /websites/fireflies_ai query-docs: /websites/fireflies_ai with "GraphQL transcripts query"
Context7 has full GraphQL schema documentation with code examples in Python, JavaScript, and cURL.
</llm-api-reference>