Everything your AI needs, in one place.

vercel-performance-tuning

Optimize Vercel deployment performance with caching, bundle optimization, and cold start reduction. Use when experiencing slow page loads, optimizing Core Web Vitals, or reducing serverless function c

windsurf-performance-tuning

Optimize Windsurf IDE performance: indexing speed, Cascade responsiveness, and memory usage. Use when Windsurf is slow, indexing takes too long, Cascade times out, or the IDE uses too much memory. Tri

bamboohr-cost-tuning

Optimize BambooHR integration costs through request reduction, caching, and usage monitoring. Use when analyzing API usage patterns, reducing unnecessary calls, or implementing request budgets. Trigge

customerio-performance-tuning

Optimize Customer.io API performance for high throughput. Use when improving response times, implementing connection pooling, batching, caching, or regional routing. Trigger: "customer.io performance"

deepgram-performance-tuning

Optimize Deepgram API performance for faster transcription and lower latency. Use when improving transcription speed, reducing latency, or optimizing audio processing pipelines. Trigger: "deepgram per

elevenlabs-performance-tuning

Optimize ElevenLabs TTS latency with model selection, streaming, caching, and audio format tuning. Use when experiencing slow TTS responses, implementing real-time voice features, or optimizing audio

exa-performance-tuning

Optimize Exa API performance with search type selection, caching, and parallelization. Use when experiencing slow responses, implementing caching strategies, or optimizing request throughput for Exa i

instantly-performance-tuning

Optimize Instantly.ai API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing high-volume lead operatio

klingai-performance-tuning

Optimize Kling AI for speed, quality, and cost efficiency. Use when improving generation times or finding optimal settings. Trigger with phrases like 'klingai performance', 'kling ai optimize', 'faste

notion-cost-tuning

Optimize Notion API usage to minimize rate-limit pressure, reduce engineering overhead, and maximize throughput. Use when auditing request volume, eliminating redundant API calls, implementing caching

obsidian-performance-tuning

Optimize Obsidian plugin performance for smooth operation in large vaults. Use when experiencing lag, memory issues, slow startup, or optimizing plugin code for vaults with thousands of files. Trigger

openrouter-context-optimization

Optimize context window usage for OpenRouter models to reduce cost and improve quality. Use when hitting context limits, managing long conversations, or building RAG systems. Triggers: 'openrouter con

openrouter-performance-tuning

Optimize OpenRouter request latency and throughput. Use when building real-time applications, reducing TTFT, or scaling request volume. Triggers: 'openrouter performance', 'openrouter latency', 'openr

palantir-cost-tuning

Optimize Palantir Foundry costs through compute tuning, incremental builds, and usage monitoring. Use when analyzing Foundry compute costs, reducing API usage, or implementing cost monitoring for Foun

palantir-performance-tuning

Optimize Palantir Foundry API performance with caching, batching, and pagination. Use when experiencing slow API responses, optimizing transform builds, or improving request throughput for Foundry int

sentry-performance-tuning

Optimize Sentry performance monitoring for lower overhead and higher signal. Use when tuning tracesSampleRate vs tracesSampler, configuring continuous profiling, fixing high-cardinality transaction na

supabase-performance-tuning

Optimize Supabase query performance with indexes, EXPLAIN ANALYZE, connection pooling, column selection, pagination, RPC functions, materialized views, and diagnostics. Use when queries are slow, conn

vercel-performance-tuning

windsurf-performance-tuning

performance-analysis

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

deepspeed

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

unsloth

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

awq-quantization

Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference

quantizing-models-bitsandbytes

Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 fo

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