FI

fireflies-rate-limits

Guidance on managing Fireflies.ai API rate limits with exponential backoff and request queuing.

Install

mkdir -p .claude/skills/fireflies-rate-limits && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5450" && unzip -o skill.zip -d .claude/skills/fireflies-rate-limits && rm skill.zip

Installs to .claude/skills/fireflies-rate-limits

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Implement Fireflies.ai rate limiting, backoff, and request queuing.
67 charsno explicit “when” trigger
Intermediate

Key capabilities

  • →Detect rate limit errors in API responses
  • →Queue batch operations to respect rate limits
  • →Track daily API request budgets
  • →Handle specific operation-level throttling

How it works

The skill manages API throughput by detecting 429 errors, applying exponential backoff with jitter for retries, and using a request queue to ensure operations stay within plan-specific limits.

Inputs & outputs

You give it
API request stream
You get back
Rate-limited, reliable API calls

When to use fireflies-rate-limits

  • →Implementing exponential backoff for API calls
  • →Handling 'too_many_requests' error codes
  • →Optimizing concurrent request throughput
  • →Adding request queuing to avoid rate hitting

About this skill

Fireflies Request Budget and Backoff

Overview

Enforce current Fireflies plan and operation-specific request limits with bounded concurrency, retryAfter handling, and cost-aware pagination.

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

General documented limits are 50 requests/day for Free and Pro and 60 requests/minute for Business and Enterprise. addToLiveMeeting is 3 requests per 20 minutes, shareMeeting is 10/hour, and deleteTranscript is 10/minute. Treat docs and retryAfter as authoritative over hard-coded assumptions.

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. Identify the plan and every operation-specific bucket used by the workload.
  2. Set a conservative request budget and concurrency of one until measured.
  3. Use pagination caps and field minimization to avoid unnecessary calls.
  4. On too_many_requests, honor retryAfter when supplied and add bounded jitter.
  5. Do not retry auth, privilege, invalid-argument, object-not-found, or AI-credit errors.
  6. Export per-operation usage, throttles, wait time, and exhausted-budget metrics.
  7. Load-test only against synthetic or approved data within a separate budget.

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.

Approval Boundaries

Require approval before increasing concurrency, consuming a large daily quota, load testing, or changing the subscribed plan.

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

  • No retryAfter: use a conservative documented window and bounded attempts.
  • Daily quota exhausted: stop until reset or owner decision.
  • Mutation outcome unknown after timeout: reconcile state before replay.

Examples

  • "Review fireflies request budget and backoff" 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.

When not to use it

  • →Applications that can tolerate frequent 429 errors
  • →Systems where request latency is not a concern

Prerequisites

FIREFLIES_API_KEY

Limitations

  • →Business/Enterprise plans have different limits than Free/Pro
  • →Daily limits reset based on the calendar day

How it compares

It replaces naive request loops with a reliable queuing and retry mechanism that prevents hitting API rate limits.

Compared to similar skills

fireflies-rate-limits side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
fireflies-rate-limits (this skill)12moCautionIntermediate
deepgram-performance-tuning32moReviewIntermediate
graphql68moNo flagsAdvanced
guidewire-sdk-patterns22moReviewAdvanced

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