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Agent skill

Fireflies Performance Tuning

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

Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval.

MITAuto-check passedBackend & APIs

Install Fireflies Performance Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace fireflies-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/fireflies-performance-tuning .claude/skills/fireflies-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
fireflies-performance-tuning
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
450 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval.

  • Works in 7 steps: Measure latency, response bytes,… → Remove unused nested fields and split… → Set explicit result caps and page only… → …
  • With speed up Fireflies
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Reaches api.fireflies.ai; needs FIREFLIES_API_KEY and REDACTED_KEY

What it does

Fireflies Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; live Fireflies work requires network access

It sits in Backend & APIs, covering Webhooks, Async programming and Caching. 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 speed up Fireflies
  • Optimize Fireflies query
  • Reduce Fireflies calls

Example prompts

  • “speed up Fireflies”
  • “optimize Fireflies query”
  • “reduce Fireflies calls”
  • “/fireflies-performance-tuning”

Requirements

  • A credential in FIREFLIES_API_KEY
  • A credential in REDACTED_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; live Fireflies work requires network access
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Measure latency, response bytes, selected fields, pages, errors, and quota use by operation.
  2. Remove unused nested fields and split metadata discovery from sensitive detail retrieval.
  3. Set explicit result caps and page only while the caller still needs data.
  4. Replace processing-status polling with meeting.transcribed or meeting.summarized events where appropriate.
  5. Cache only classified metadata with tenant-aware keys and bounded TTLs.
  6. Limit concurrency below the applicable plan and operation budgets.
  7. Compare before/after metrics on synthetic or approved records and keep rollback settings.

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
    • Glob
    • Grep
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.fireflies.ai

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FIREFLIES_API_KEY
    • REDACTED_KEY

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

  • Compatibility

    Designed for Claude Code; live Fireflies work requires network access

    From compatibility in the SKILL.md frontmatter.

Context cost

Fireflies Performance Tuning loads about 1k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 450 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

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). 450 words, ~1,043 tokens.

Download SKILL.mdSave it as .claude/skills/fireflies-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
fireflies-performance-tuning
description
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".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; live Fireflies work requires network access
argument-hint
<repository-path> <workflow-scope>
version
1.12.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, fireflies, performance, graphql
model
inherit
effort
high

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.

Authentication

For authenticated operations, inject FIREFLIES_API_KEY from an approved secret manager and send it only as Authorization: Bearer REDACTED_KEY to https://api.fireflies.ai/graphql. Never print, commit, place in a URL, forward to a browser, or include the key in evidence. Webhook signing secrets are separate credentials and must not be reused as API keys.

Instructions

  1. Measure latency, response bytes, selected fields, pages, errors, and quota use by operation.
  2. Remove unused nested fields and split metadata discovery from sensitive detail retrieval.
  3. Set explicit result caps and page only while the caller still needs data.
  4. Replace processing-status polling with meeting.transcribed or meeting.summarized events where appropriate.
  5. Cache only classified metadata with tenant-aware keys and bounded TTLs.
  6. Limit concurrency below the applicable plan and operation budgets.
  7. Compare before/after metrics on synthetic or approved records and keep rollback settings.

Tool Discipline

Use Read, Glob, and Grep to inspect code, configuration, tests, and evidence. Use Write/Edit only for approved implementation or documentation changes. Do not query Fireflies, retrieve meeting content, create an AskFred thread, upload media, change account state, replay an event, or deploy merely because this skill was invoked.

Show full SKILL.md (165 more words)Show less

Approval Boundaries

Require approval before caching meeting-derived data, increasing concurrency, widening selections, or using a broader transcript cohort.

Output

Return the exact operation or event surface, environment, authorization class, selected field groups, validation results, content-free metrics, decisions, and a concise pass/fail receipt. Keep secrets and meeting-derived content out of general output.

Validation

Before reporting success, rerun the smallest relevant deterministic check, compare actual state with the requested outcome and current contract, verify no secret or meeting-derived content entered logs or artifacts, and record unresolved uncertainty explicitly.

Error Handling

  • Faster query returns less required data: reject the optimization.
  • Cache crosses principals or tenants: purge through the approved incident procedure.
  • Polling causes throttling: stop and switch to event-driven status where supported.

Examples

  • "Review fireflies graphql performance tuning" produces a bounded plan and redacted receipt.
  • A request that widens access or mutates production is paused at the approval boundary.

Resources

Read official Fireflies.ai evidence before relying on a field, filter, event, permission, plan limit, mutation, or processing state.

© 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

SKILL.md and 1 other file (references) in skills/.curated/fireflies-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Fireflies 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.

Fireflies Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fireflies Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Idempotency Handlingsecondsky/claude-skills227—~1.4kAutomated safety check: PassMIT
Ar Io Gateway Operatorar-io/ar-io-node127—~7.7kAutomated safety check: NotesAGPL-3.0
Dotnet Backend Patternswshobson/agents40k8 repos~6.6kAutomated safety check: PassMIT
Gpg SigningProrise-cool/Claude-Code-Multi-Agent306—~3.9kAutomated safety check: WarnNone
Comfyui Gatewaysickn33/agentic-awesome-skills47k2 repos~3.8kAutomated safety check: NotesMIT

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Categories

Questions about Fireflies Performance Tuning

What does Fireflies Performance Tuning do?

Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval. Fireflies Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval.

When should I use Fireflies Performance Tuning?

Fireflies Performance Tuning fits situations like: with speed up Fireflies; optimize Fireflies query; reduce Fireflies calls.

How do I install Fireflies Performance Tuning in Claude Code?

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

How do I install Fireflies Performance Tuning in Codex?

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

Can I use Fireflies 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 fireflies-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/fireflies-performance-tuning, .gemini/skills/fireflies-performance-tuning, .github/skills/fireflies-performance-tuning and .opencode/skills/fireflies-performance-tuning in your project.

What does Fireflies Performance Tuning need to run?

Going by SKILL.md and its folder, Fireflies Performance Tuning needs credentials named FIREFLIES_API_KEY and REDACTED_KEY. Our summary lists: A credential in FIREFLIES_API_KEY; A credential in REDACTED_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live Fireflies work requires network access.

Does Fireflies Performance Tuning access the network?

SKILL.md names 1 domain. In commands or code: api.fireflies.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Fireflies 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 Fireflies Performance Tuning use?

Fireflies 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 Fireflies Performance Tuning use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 431 tokens, read only when the agent opens those files.

What are the alternatives to Fireflies Performance Tuning?

Skills that share tags, products or a category with Fireflies Performance Tuning: Idempotency Handling (secondsky/claude-skills, 227 stars), Ar Io Gateway Operator (ar-io/ar-io-node, 127 stars), Dotnet Backend Patterns (wshobson/agents, 40k stars) and Gpg Signing (Prorise-cool/Claude-Code-Multi-Agent, 306 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fireflies 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.