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Agent skill

Fathom Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Optimize Fathom API performance with caching and batch processing.

MITAuto-check passedBackend & APIs

Install Fathom Performance Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill fathom-performance-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace fathom-performance-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/fathom-performance-tuning .claude/skills/fathom-performance-tuning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fathom-performance-tuning
GitHub stars
2.8k
Token cost
~1.3k tokens
SKILL.md length
336 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize Fathom API performance with caching and batch processing.

  • Works in 3 steps: Measure aggregate processing, sync, and… → Change one approved… → Revert on quality, consent, delivery, or…
  • With phrases like fathom performance
  • SKILL.md covers Prerequisites, Instructions, Output and Examples, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fathom Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Fathom API performance with caching and batch processing. Trigger with phrases like "fathom performance", "fathom caching", "optimize fathom".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Caching, Data pipelines and ETL and Rate limiting. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • With phrases like fathom performance
  • Optimize fathom

Example prompts

  • “fathom performance”
  • “fathom caching”
  • “optimize fathom”
  • “/fathom-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Fathom Performance Tuning loads about 1.3k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 336 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 336 words, ~1,265 tokens.

Download SKILL.mdSave it as .claude/skills/fathom-performance-tuning/SKILL.md (or your agent's skills folder).
name
fathom-performance-tuning
description
Optimize Fathom API performance with caching and batch processing. Trigger with phrases like "fathom performance", "fathom caching", "optimize fathom".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.6.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, meeting-intelligence, ai-notes, fathom

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.

Caching Strategy

typescript
const cache = new Map<string, { data: any; expiry: number }>();
const TTL = { transcript: 3_600_000, actionItems: 120_000, meetings: 300_000 };

async function cached(key: string, ttlKey: keyof typeof TTL, fn: () => Promise<any>) {
  const entry = cache.get(key);
  if (entry && entry.expiry > Date.now()) return entry.data;
  const data = await fn();
  cache.set(key, { data, expiry: Date.now() + TTL[ttlKey] });
  return data;
}
// Transcripts are immutable — cache 1hr. Action items change — cache 2min.

Batch Operations

typescript
async function syncMeetingsBatch(client: any, ids: string[], batchSize = 50) {
  const results = [];
  for (let i = 0; i < ids.length; i += batchSize) {
    const batch = ids.slice(i, i + batchSize);
    const res = await Promise.all(batch.map(id => client.getTranscript(id)));
    results.push(...res);
    if (i + batchSize < ids.length) await new Promise(r => setTimeout(r, 61_000)); // 60 req/min
  }
  return results;
}

Connection Pooling

typescript
import { Agent } from 'https';
const agent = new Agent({ keepAlive: true, maxSockets: 6, maxFreeSockets: 3, timeout: 45_000 });
// Transcript downloads are large — longer timeout, fewer concurrent sockets

Rate Limit Management

typescript
async function withFathomRateLimit(fn: () => Promise<any>): Promise<any> {
  try { return await fn(); }
  catch (err: any) {
    if (err.status === 429) {
      const retryAfter = parseInt(err.headers?.['retry-after'] || '60') * 1000;
      await new Promise(r => setTimeout(r, retryAfter));
      return fn();
    }
    throw err;
  }
}

Monitoring

typescript
const metrics = { downloads: 0, cacheHits: 0, rateLimits: 0, avgLatencyMs: 0 };
function trackDownload(startMs: number, cached: boolean, rateLimited: boolean) {
  metrics.downloads++;
  metrics.avgLatencyMs = (metrics.avgLatencyMs * (metrics.downloads - 1) + (Date.now() - startMs)) / metrics.downloads;
  if (cached) metrics.cacheHits++; if (rateLimited) metrics.rateLimits++;
}

Performance Checklist

  • Cache transcripts with 1-hour TTL (immutable after generation)
  • Use webhooks instead of polling for new meeting notifications
  • Batch transcript downloads in groups of 50 with 60s pauses
  • Set action item cache TTL to 2 min for freshness
  • Enable HTTP keep-alive with 45s timeout for large payloads
  • Track rate limit hits and back off with Retry-After header
  • Parallelize independent meeting metadata and transcript fetches
  • Aggregate action items client-side to reduce API round-trips

Error Handling

IssueCauseFix
429 Rate LimitedExceeded 60 req/minParse Retry-After, batch with 61s delay between groups
Transcript timeoutLarge payload on slow connectionIncrease timeout to 45s, enable keep-alive
Stale action itemsCache TTL too aggressiveReduce action item TTL to 2 min
Missing transcriptMeeting still processingCheck meeting status before download, retry after 30s
Partial sync failureNetwork interruption mid-batchTrack progress, resume from last successful ID

Resources

  • Fathom API Docs

Next Steps

See fathom-reference-architecture.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/fathom-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Fathom Performance Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fathom Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fathom Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.3kAutomated safety check: PassMIT
API IntegrationHack23/cia239—~1.9kAutomated safety check: PassApache-2.0
Frontmcp Configagentfront/frontmcp146—~7kAutomated safety check: PassApache-2.0
Redis Patternsaffaan-m/ECC277k1 repos~3kAutomated safety check: PassMIT
Amazon Elasticacheaws/agent-toolkit-for-aws2.8k—~4.5kAutomated safety check: PassApache-2.0
Comfyui Gatewaysickn33/agentic-awesome-skills47k2 repos~3.8kAutomated safety check: NotesMIT

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Categories

Questions about Fathom Performance Tuning

What does Fathom Performance Tuning do?

Optimize Fathom API performance with caching and batch processing. Fathom Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Fathom API performance with caching and batch processing.

When should I use Fathom Performance Tuning?

Fathom Performance Tuning fits situations like: with phrases like fathom performance; optimize fathom.

How do I install Fathom Performance Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill fathom-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/fathom-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/fathom-performance-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Fathom Performance Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill fathom-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/fathom-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/fathom-performance-tuning in your project. Codex loads it when a task matches its description.

Can I use Fathom Performance Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill fathom-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fathom-performance-tuning, .gemini/skills/fathom-performance-tuning, .github/skills/fathom-performance-tuning and .opencode/skills/fathom-performance-tuning in your project.

What does Fathom Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Fathom Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Fathom Performance Tuning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Fathom Performance Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fathom Performance Tuning use?

Fathom Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fathom Performance Tuning use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fathom Performance Tuning?

Skills that share tags, products or a category with Fathom Performance Tuning: API Integration (Hack23/cia, 239 stars), Frontmcp Config (agentfront/frontmcp, 146 stars), Redis Patterns (affaan-m/ECC, 277k stars) and Amazon Elasticache (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fathom Performance Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.