Individual skill
fireflies-performance-tuning
Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval. Use when calls are slow or wasteful. Trigger with "speed up Fireflies", "optimize Fireflies query", or "reduce Fireflies calls".
skills/.curated/fireflies-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- fireflies Declared skill tag
- performance Declared skill tag
- graphql Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,169 bytesreferences/official-docs.mddoc · 1,721 bytes
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# Fireflies GraphQL Performance Tuning
## Overview
Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval.
## Prerequisites
- The target repository or integration path and the requested operator outcome.
- The Fireflies principal, team, environment, and data classification for the work.
- Current Fireflies documentation, credentials only when needed, and an accountable approver.
## Current Contract
GraphQL performance starts with smaller field selections and fewer calls. transcripts pages at most 50 records; cache only approved metadata, never assume summaries or sentences are immutable while processing, and prefer Webhooks V2 over aggressive polling.