Packs
8 packs@dotnet
Dotnet Msbuild
Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.
18 skills · pack
curated
Optimize GKE Costs
Analyzes current usage, recommends cost-saving measures, and applies optimizations to GKE workloads.
3 skills · pack
curated
AI Search Optimization
Analyze and optimize content for AI Overviews, ChatGPT, and Perplexity using GEO techniques.
9 skills · pack
curated
CRO Landing Page Optimization
Diagnose conversion issues, design high-converting page elements, and optimize forms to boost conversions.
9 skills · pack
curated
SEO Audit to Optimization
Audit a website for SEO issues, analyze on-page elements, and implement fixes to improve organic performance.
9 skills · pack
curated
Google Cloud Well-Architected
For architects evaluating Google Cloud workloads against the Well-Architected Framework pillars: reliability, cost optimization, and operational excellence.
6 skills · pack
@adobe
Edge Delivery Services Content Ops
Content operations skills for AEM Edge Delivery Services: page auditing, SEO optimization, AI search (GEO), WCAG accessibility, bulk metadata, structured data, sitemap validation, and content diffing
12 skills · pack
@alirezarezvani
Agenthub
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub:init, /hub:spawn, /hub:status, /hub:eval, /hub:merge, /hub:board, /hub:run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
8 skills · pack
Results for “optimization”
5 skills
antigravity ai-product
Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.
42.4k
affaan-m iterative-retrieval
Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.
226k
More results
majiayu000 rag
Builds Retrieval-Augmented Generation systems with document chunking, embedding generation, vector storage, and retrieval pipelines, including evaluation and optimization.
567 · bundle
github qdrant-scaling-query-volume
Optimizes Qdrant query performance for large limits across multiple shards by using Poisson-distributed subsampling to reduce inter-shard data transfer.
36.2k
orchestra-research dspy
Build complex AI systems with declarative programming, optimize prompts automatically, and create modular RAG systems and agents using Stanford NLP's DSPy framework.
10.4k · bundle