Embeddings
Vector embeddings and similarity
grepai-troubleshooting
by yoanbernabeu
Troubleshooting guide for GrepAI. Use this skill to diagnose and fix common issues.
grepai-storage-gob
by yoanbernabeu
Configure GOB local file storage for GrepAI. Use this skill for simple, single-machine setups.
grepai-search-tips
by yoanbernabeu
Tips and best practices for effective GrepAI searches. Use this skill to improve search result quality.
grepai-storage-postgres
by yoanbernabeu
Configure PostgreSQL with pgvector for GrepAI. Use this skill for team environments and large codebases.
grepai-storage-qdrant
by yoanbernabeu
Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.
grepai-mcp-cursor
by yoanbernabeu
Integrate GrepAI with Cursor IDE via MCP. Use this skill to enable semantic code search in Cursor.
unknown-patterns
by posva
Learn unfamiliar implementation patterns and fill in missing pieces when building features in a specific environment (e.g., data fetching in a particular runtime). Use when you need to discover or confirm patterns for an unimplemented area; implementation uses erudita and osgrep.
grepai-search-basics
by yoanbernabeu
Basic semantic code search with GrepAI. Use this skill to learn fundamental search commands and concepts.
grepai-quickstart
by yoanbernabeu
Get started with GrepAI in 5 minutes. Use this skill for a complete walkthrough from installation to first search.
grepai-workspaces
by yoanbernabeu
Configure multi-project workspaces in GrepAI. Use this skill for monorepos and multiple related projects.
grepai-config-reference
by yoanbernabeu
Complete configuration reference for GrepAI. Use this skill when you need to understand all available configuration options.
grepai-search-boosting
by yoanbernabeu
Configure search result boosting in GrepAI. Use this skill to prioritize certain paths and penalize others.
grepai-embeddings-lmstudio
by yoanbernabeu
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
grepai-embeddings-openai
by yoanbernabeu
Configure OpenAI as embedding provider for GrepAI. Use this skill for high-quality cloud embeddings.
grepai-chunking
by yoanbernabeu
Configure code chunking in GrepAI. Use this skill to optimize how code is split for embedding.
search-conference
by phira-ai
Use when tasks involve semantically matching a user's idea (query or example papers) to papers in a specific OpenReview venue. Uses embed-papers to crawl metadata, build/use embedding caches, run cosine-similarity search, then produces a short, grouped Markdown reading list with brief rationales.
airport-city-search
by Lap-Platform
"Airport & City Search API skill. Use when working with Airport & City Search for reference-data. Covers 2 endpoints."
ai-integration
by mgd34msu
"Load PROACTIVELY when task involves AI, LLM, or machine learning features. Use when user says \"add AI chat\", \"implement streaming responses\", \"build a RAG pipeline\", \"add embeddings\", or \"integrate OpenAI\". Covers chat interfaces, streaming with Vercel AI SDK, retrieval-augmented generation, vector search, embeddings pipelines, tool/function calling, and provider abstraction for OpenAI, Anthropic, and local models."
flight-choice-prediction
by Lap-Platform
"Flight Choice Prediction API skill. Use when working with Flight Choice Prediction for shopping. Covers 1 endpoint."
linkup-search
by LinkupPlatform
"Use this skill whenever the agent has access to Linkup web search or fetch tools. Teaches the agent how to reason about query construction, choose search depth, write effective queries, select the right output type, use the fetch endpoint, and apply advanced techniques like sequential search and multi-query coverage. Applicable to any task involving web search, content extraction, company research, news retrieval, data enrichment, or real-time information gathering via Linkup."
AgentDB Vector Search
by ovachiever
"Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases."
bioservices
by ovachiever
"Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database)."
clip
by ovachiever
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
chembl-database
by ovachiever
"Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry."