Results for “search-performance”
17 skillsqdrant-performance-optimization
Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.
36.2k
postgresql-optimization
Optimize PostgreSQL databases with advanced features, performance tuning, and best practices for JSONB, full-text search, window functions, and indexing.
36.2k
gsc
Querying Google Search Console for search performance — top queries and pages, clicks/impressions/CTR/position over a date range, sitemap status, and URL indexing inspection.
0 · bundle
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qdrant-minimize-latency
Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.
36.2k
benchmark
Performance regression detection using the browse daemon. Establishes baselines for page load times, Core Web Vitals, and resource sizes. Compares before/after on every PR. Tracks performance trends over time. Use when: "performance", "benchmark", "page speed", "lighthouse", "web vitals", "bundle size", "load time". (gstack) Voice triggers (speech-to-text aliases): "speed test", "check performance".
0
benchmark
Performance regression detection using the browse daemon. (gstack)
0
web-search
Search the web using DuckDuckGo and return top results
118 · bundle
performance-profiling
Performance profiling principles. Measurement, analysis, and optimization techniques.
3 · bundle
keyword-miner
Find keyword gaps, SERP opportunities, and low-competition high-intent keywords
2 · bundle
search-ux
Design search experiences that help users find what they need, recover from failure, and refine results.
1.7k
performance
Performance — Forge Skill
0
news-search
Search for recent news articles on a given topic
118 · bundle
web-search
Search the web and fetch content from URLs, returning LLM-friendly markdown.
1.5k · bundle
perf-engineer
Diagnose and eliminate performance bottlenecks across web, API, database, and code with load testing, profiling, and optimization techniques.
0
tilegym-cutile-autotuning
Adds autotuning to CuTile kernels using the exhaustive_search API with a tune-once/cache/direct-launch pattern, covering occupancy-only and complex tile-size search spaces.
2.2k · bundle
qdrant-scaling-qps
Guides scaling Qdrant query throughput (QPS) through performance tuning, horizontal scaling with read replicas, and disk I/O optimization.
36.2k
faiss
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
0 · bundle