Agent skill · software engineering · jeremylongshore
fathom-performance-tuning
Optimize Fathom API performance with caching and batch processing.
Why this skill is useful
Adds multiple executable scripts for optimizing Fathom API performance, including caching, batch processing, and rate limit management.
What it needs
Requires fathom account access. About 3k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Fathom Performance Tuning Prerequisites A baseline for processing latency, sync/delivery error, quality, and an approved data/consent policy. Synthetic meeting metadata, an owner, and a reversible performance-change threshold. Instructions 1. Measure aggregate processing, sync, and alert behavior without using meeting content as diagnostic data. 2. Change one approved queue/concurrency/integration setting and compare against baseline. 3. Revert on quality, consent, delivery, or reliability regression. Output A measured performance recommendation with data/consent guardrails, owner, and rollback record. Examples Use synthetic meetings to measure processing and CRM-sync latency, change one bounded concurrency setting, and compare aggregate results. Revert if errors or incorrect follow-up behavior increases; do not bypass review or retention controls to improve performance. Overview Fathom's meeting intelligence API serves transcript downloads, bulk meeting sync, and action item aggregation. Transcript payloads are large (50-500KB each), making bulk sync of historical meetings a major latency bottleneck. The 60 req/min rate limit requires careful batching. Caching immutable transcripts aggressively while keeping action item data fresh reduces download latency by 70% and prevents rate limit errors during bulk operations. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/fathom-performance-tuning