fireflies-core-workflow-b
Search across Fireflies.ai transcripts, use AskFred AI, and build meeting analytics. Use when searching meeting history, querying Fred AI assistant, or aggregating meeting data for reports. Trigger with phrases like "fireflies search", "ask fred", "fireflies analytics", "search meetings", "fireflies AskFred".
What this skill does
# Fireflies.ai Core Workflow B -- Search, AskFred & Analytics
## Overview
Secondary workflow: search across transcripts with keyword and date filters, use AskFred AI for natural language Q&A over meetings, and aggregate meeting analytics for reporting.
## Prerequisites
- Completed `fireflies-install-auth` setup
- Familiarity with `fireflies-core-workflow-a`
- AI credits for AskFred queries (check Fireflies dashboard)
## Instructions
### Step 1: Search Transcripts by Keyword
```typescript
const SEARCH_TRANSCRIPTS = `
query SearchMeetings(
$keyword: String,
$fromDate: DateTime,
$toDate: DateTime,
$participants: [String],
$limit: Int
) {
transcripts(
keyword: $keyword
fromDate: $fromDate
toDate: $toDate
participants: $participants
limit: $limit
) {
id title date duration
organizer_email
participants
summary { overview action_items keywords }
}
}
`;
// Search for "quarterly review" in the last 30 days
const results = await firefliesQuery(SEARCH_TRANSCRIPTS, {
keyword: "quarterly review",
fromDate: new Date(Date.now() - 30 * 86400000).toISOString(),
limit: 20,
});
console.log(`Found ${results.transcripts.length} matching meetings`);
for (const t of results.transcripts) {
console.log(` ${t.title} (${t.date}) - ${t.duration}min`);
}
```
### Step 2: AskFred -- AI Q&A Over a Single Meeting
```typescript
// Create a new AskFred thread tied to a transcript
const CREATE_THREAD = `
mutation CreateThread($input: CreateAskFredThreadInput!) {
createAskFredThread(input: $input) {
id
title
messages {
id
answer
suggested_queries
}
}
}
`;
const thread = await firefliesQuery(CREATE_THREAD, {
input: {
query: "What were the key decisions made in this meeting?",
transcript_id: "your-transcript-id",
},
});
console.log("Fred says:", thread.createAskFredThread.messages[0].answer);
console.log("Suggested follow-ups:", thread.createAskFredThread.messages[0].suggested_queries);
```
### Step 3: AskFred -- Continue a Conversation
```typescript
const CONTINUE_THREAD = `
mutation ContinueThread($thread_id: String!, $query: String!) {
continueAskFredThread(thread_id: $thread_id, query: $query) {
id
answer
suggested_queries
}
}
`;
const followUp = await firefliesQuery(CONTINUE_THREAD, {
thread_id: thread.createAskFredThread.id,
query: "Who is responsible for the action items?",
});
console.log("Follow-up:", followUp.continueAskFredThread.answer);
```
### Step 4: AskFred -- Cross-Meeting Analysis
```typescript
// Query across multiple meetings (no transcript_id = searches all)
const crossMeeting = await firefliesQuery(CREATE_THREAD, {
input: {
query: "What topics came up repeatedly across our sprint planning meetings?",
// filters can narrow scope without tying to a single transcript
},
});
```
### Step 5: Meeting Analytics Aggregation
```typescript
async function meetingAnalytics(days: number = 30) {
const since = new Date(Date.now() - days * 86400000).toISOString();
const data = await firefliesQuery(`
query Analytics($fromDate: DateTime) {
transcripts(fromDate: $fromDate, limit: 100) {
id title date duration
organizer_email participants
summary { action_items keywords }
analytics {
speakers { name duration word_count questions }
sentiments { positive_pct negative_pct }
}
}
}
`, { fromDate: since });
const meetings = data.transcripts;
const totalMinutes = meetings.reduce((s: number, m: any) => s + (m.duration || 0), 0);
const totalActions = meetings.reduce(
(s: number, m: any) => s + (m.summary?.action_items?.length || 0), 0
);
// Top keywords across all meetings
const keywordCounts: Record<string, number> = {};
for (const m of meetings) {
for (const kw of m.summary?.keywords || []) {
keywordCounts[kw] = (keywordCounts[kw] || 0) + 1;
}
}
const topKeywords = Object.entries(keywordCounts)
.sort((a, b) => b[1] - a[1])
.slice(0, 10);
return {
period: `${days} days`,
totalMeetings: meetings.length,
totalHours: (totalMinutes / 60).toFixed(1),
totalActionItems: totalActions,
avgDuration: Math.round(totalMinutes / meetings.length),
topKeywords,
};
}
```
### Step 6: List and Manage AskFred Threads
```typescript
// List all threads
const threads = await firefliesQuery(`{
askfred_threads {
id title transcript_id created_at
}
}`);
// Delete a thread (cleanup)
await firefliesQuery(`
mutation DeleteThread($id: String!) {
deleteAskFredThread(thread_id: $id)
}
`, { id: "thread-id-to-delete" });
```
## AskFred Credits
AskFred API calls consume AI credits. If you receive `require_ai_credits`, visit the Upgrade section in your Fireflies dashboard to add credits. Budget accordingly for production use.
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| `require_ai_credits` | No AI credits remaining | Purchase credits in Fireflies dashboard |
| Empty search results | No matching transcripts | Broaden keyword or date range |
| Thread not found | Invalid thread ID | List threads first to get valid IDs |
| Rate limit 429 | Too many requests | Implement backoff per `fireflies-rate-limits` |
## Output
- Keyword search results across transcript history
- AskFred AI-powered Q&A threads with suggested follow-ups
- Cross-meeting analytics report with keyword trends
## Resources
- [AskFred API Overview](https://docs.fireflies.ai/askfred/overview)
- [Transcripts Query](https://docs.fireflies.ai/graphql-api/query/transcript)
## Next Steps
For common errors, see `fireflies-common-errors`.
Related in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.