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Fireflies Performance Tuning

fireflies-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides API integrations for Fireflies.ai by tightening GraphQL queries, caching transcripts with TTL, batching meeting processing, and handling webhooks through asynchronous queues to sustain throughput and keep latency low.

Fireflies Rate Limit Handling

fireflies-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Provides Fireflies.ai-specific rate limit handling with exponential backoff, jitter, idempotent retries, and monitoring/queue helpers to keep API throughput stable under 429 throttling.

Groq Observability Toolkit

groq-observability

jeremylongshore/claude-code-plugins-plus-skills

Sets up metrics, traces, dashboards, and alerts to monitor Groq API health, cost, and throughput, guiding engineers through instrumentation, rate-limit tracking, and speed-focused dashboards when integrating Groq models.

Groq Rate Limit Toolkit

groq-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guide for handling Groq API rate limits with exponential backoff, jitter, idempotency keys, queueing, and header monitoring to keep high-throughput requests resilient.

Ideogram Rate Limit Guard

ideogram-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guidance for Ideogram API clients to handle 429/limit errors using exponential backoff, jitter, queueing, and idempotent retries for reliable throughput.

Instantly Performance Tuning

instantly-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimizes Instantly cold outreach by batching lead uploads, caching campaign metrics, polling lead status efficiently, and draining reply webhooks so API throughput and deliverability stay healthy under rate limits.

Juicebox Performance Tuning

juicebox-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides engineers through optimizing Juicebox API integrations via caching, batching, connection pooling, lean queries, and performance metrics to cut latency and keep throughput steady under load.

Juicebox Rate Control

juicebox-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guides implementation of Juicebox API rate limiting, backoff, quota tracking, and header parsing so your integrations respect quotas, retry intelligently, and maintain throughput under throttling.

KlingAI Rate Limit Handling

klingai-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Provides strategies for handling Kling AI rate limits with exponential backoff, token buckets, queuing, and concurrent job control so integrations stay reliable even under 429 responses or high throughput demands.

LangChain Performance Tuning

langchain-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Step-by-step guidance for benchmarking LangChain apps, enabling caching, batching, streaming, and prompt/model tuning to cut latency, boost throughput, and improve resource use when a pipeline feels slow.

Langfuse Performance Tuning

langfuse-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides tuning Langfuse integrations for high-throughput apps, covering benchmarking, batching, non-blocking traces, payload trimming, and error handling to minimize latency and resource cost in production workloads.

LibFuzzer Coverage Fuzzing

trailofbits/skills

LibFuzzer is LLVM’s in-process coverage-guided fuzzer for C/C++ projects compiled with Clang, providing a quick harness-based setup that can later transition to more advanced fuzzers while maintaining reproducible, high-throughput testing.

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