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Found 2,608 Skills
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing context from retrieved documents, adding citations, or implementing hybrid search.
Vercel storage expert guidance — Blob, Edge Config, and Marketplace storage (Neon Postgres, Upstash Redis). Use when choosing, configuring, or using data storage with Vercel applications.
Coverage analysis measures code exercised during fuzzing. Use when assessing harness effectiveness or identifying fuzzing blockers.
Configure GOB local file storage for GrepAI. Use this skill for simple, single-machine setups.
This skill generates text-based UI wireframes using .kui file syntax. Use when creating wireframes, mockups, or UI layout diagrams. The skill converts .kui files to SVG/PNG images via the katsuragi CLI tool.
Knowledge Base RAG implements the complete Retrieval-Augmented Generation pipeline: document ingestion, intelligent chunking, embedding generation, vector store indexing, semantic retrieval, and grounded response generation.
Optimize cloud storage across AWS S3, Azure Blob, and GCP Cloud Storage with compression, partitioning, lifecycle policies, and cost management.
Scout price discrepancies between Polymarket and Kalshi for discovery and comparison. Read-only; no execution.
Decide per SKU whether to remove, liquidate, dispose, or keep aging FBA inventory. Breaks the math: base storage plus the monthly aged-inventory surcharge over the holding horizon vs removal fees vs recoverable resale value. Use when a user asks about aged inventory, aged-inventory surcharge, long-term storage fees, removal orders, liquidation, or what to do with slow movers. Trigger phrases: "aged inventory", "aged-inventory surcharge", "long-term storage", "removal order", "liquidate", "slow movers", "dispose", "old stock". Works with zero tools. the user provides unit cost, age, storage rate, and current price.
Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector search, embeddings, semantic search.
Synchronize memories between Turso (durable) and redb (cache) storage layers. Use when cache appears stale, after failures, or during periodic maintenance.
Analyzes test coverage reports, identifies gaps, and recommends priority areas for testing. Use when reviewing coverage, finding untested code, or planning test improvements.