Topic: mcp
13,395 skills in this topic.
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grepai-embeddings-ollama
Configure Ollama as embedding provider for GrepAI. Use this skill for local, private embedding generation.
yoanbernabeu/grepai-skills 15
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grepai-embeddings-openai
Configure OpenAI as embedding provider for GrepAI. Use this skill for high-quality cloud embeddings.
yoanbernabeu/grepai-skills 15
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grepai-installation
Multi-platform installation guide for GrepAI. Use this skill when installing GrepAI on macOS, Linux, or Windows.
yoanbernabeu/grepai-skills 15
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grepai-ollama-setup
Install and configure Ollama for local embeddings with GrepAI. Use this skill when setting up private, local embedding generation.
yoanbernabeu/grepai-skills 15
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grepai-quickstart
Get started with GrepAI in 5 minutes. Use this skill for a complete walkthrough from installation to first search.
yoanbernabeu/grepai-skills 15
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grepai-chunking
Configure code chunking in GrepAI. Use this skill to optimize how code is split for embedding.
yoanbernabeu/grepai-skills 15
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grepai-watch-daemon
Configure and manage the GrepAI watch daemon. Use this skill for real-time code indexing and file monitoring.
yoanbernabeu/grepai-skills 15
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grepai-mcp-claude
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.
yoanbernabeu/grepai-skills 15
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grepai-mcp-cursor
Integrate GrepAI with Cursor IDE via MCP. Use this skill to enable semantic code search in Cursor.
yoanbernabeu/grepai-skills 15
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grepai-mcp-tools
Reference for all GrepAI MCP tools. Use this skill to understand available MCP tools and their parameters.
yoanbernabeu/grepai-skills 15
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grepai-search-advanced
Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.
yoanbernabeu/grepai-skills 15
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grepai-search-basics
Basic semantic code search with GrepAI. Use this skill to learn fundamental search commands and concepts.
yoanbernabeu/grepai-skills 15
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grepai-search-boosting
Configure search result boosting in GrepAI. Use this skill to prioritize certain paths and penalize others.
yoanbernabeu/grepai-skills 15
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grepai-search-tips
Tips and best practices for effective GrepAI searches. Use this skill to improve search result quality.
yoanbernabeu/grepai-skills 15
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grepai-storage-gob
Configure GOB local file storage for GrepAI. Use this skill for simple, single-machine setups.
yoanbernabeu/grepai-skills 15
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grepai-storage-postgres
Configure PostgreSQL with pgvector for GrepAI. Use this skill for team environments and large codebases.
yoanbernabeu/grepai-skills 15
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grepai-storage-qdrant
Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.
yoanbernabeu/grepai-skills 15
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grepai-trace-callees
Find function callees with GrepAI trace. Use this skill to discover what functions a specific function calls.
yoanbernabeu/grepai-skills 15
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grepai-trace-callers
Find function callers with GrepAI trace. Use this skill to discover what code calls a specific function.
yoanbernabeu/grepai-skills 15
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grepai-trace-graph
Build complete call graphs with GrepAI trace. Use this skill for recursive dependency analysis.
yoanbernabeu/grepai-skills 15
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design-postgis-tables
Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications
timescale/pg-aiguide 1,661
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design-postgres-tables
Use this skill for general PostgreSQL table design.
**Trigger when user asks to:**
- Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones.
- Choose data types, constraints, or indexes for PostgreSQL
- Create user tables, order tables, reference tables, or JSONB schemas
- Understand PostgreSQL best practices for normalization, constraints, or indexing
- Design update-heavy, upsert-heavy, or OLTP-style tables
**Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security
Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.
timescale/pg-aiguide 1,661
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pgvector-semantic-search
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
**Trigger when user asks to:**
- Store or search vector embeddings in PostgreSQL
- Set up semantic search, similarity search, or nearest neighbor search
- Create HNSW or IVFFlat indexes for vectors
- Implement RAG (Retrieval Augmented Generation) with PostgreSQL
- Optimize pgvector performance, recall, or memory usage
- Use binary quantization for large vector datasets
**Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search
Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.
timescale/pg-aiguide 1,661
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postgres-hybrid-text-search
Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF).
**Trigger when user asks to:**
- Combine keyword and semantic search
- Implement hybrid search or multi-modal retrieval
- Use BM25/pg_textsearch with pgvector together
- Implement RRF (Reciprocal Rank Fusion) for search
- Build search that handles both exact terms and meaning
**Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, keyword search, full-text search, reranking, cross-encoder
Covers: pg_textsearch BM25 index setup, parallel query patterns, client-side RRF fusion (Python/TypeScript), weighting strategies, and optional ML reranking.
timescale/pg-aiguide 1,661