Embeddings
Vector embeddings and similarity
langchain-rate-limit-errors
by vamseeachanta
'Sub-skill of langchain: Rate Limit Errors (+2).'
nix
by knoopx
Runs packages temporarily, creates isolated shell environments, and evaluates Nix expressions. Use when executing tools without installing, debugging derivations, or working with nixpkgs.
sqlite-vec
by existential-birds
sqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH, vec_distance, partition key, float[N], int8[N], bit[N], serialize_float32, serialize_int8, vec_f32, vec_int8, vec_bit, vec_normalize, vec_quantize_binary, distance_metric, metadata columns, auxiliary columns.
research
by bahayonghang
Use codex web search for technical research, output reports with complete citation links. Focus on key results users care about, minimize irrelevant content.
langchain-embeddings
by evanfang0054
使用 LangChain 中的嵌入模型集成指南,包括 OpenAI、Azure 和本地嵌入
research-synthesis
by dhruvbaldawa
Guide when to use built-in tools (WebFetch, WebSearch) and MCP servers (Parallel Search, Perplexity, Context7) for research. Synthesize findings into narrative for braindump. Use when gathering data, examples, or citations for blog posts.
predictive-intelligence
by groeimetai
This skill should be used when the user asks to "predictive intelligence", "machine learning", "ML", "classification", "similarity", "clustering", "prediction", "AI", or any ServiceNow Predictive Intelligence development.
analyze-gas-optimization
by iskysun96
"Analyze and optimize Aptos Move contracts for gas efficiency, identifying expensive operations and suggesting
obsidian-manager
by krishagel
Manage Obsidian vault for persistent knowledge storage, search, and retrieval
browser-control
by krishagel
Full browser control for authenticated web interactions using Playwright scripts
cass
by Dicklesworthstone
"Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode."
SKILL.md — Giulia Code Intelligence
by thatsme
The POST /api/index/scan and POST /api/command/stream endpoints take path in the JSON body instead (unchanged).
pinecone:mcp
by pinecone-io
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
pinecone:help
by pinecone-io
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
pinecone:quickstart
by pinecone-io
Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.
pinecone:assistant
by pinecone-io
Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".
pinecone:docs
by pinecone-io
Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.
pinecone:cli
by pinecone-io
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation, and full control over Pinecone resources.
x-algorithm-optimizer
by TheMattBerman
Use when optimizing X/Twitter posts for reach, debugging underperforming content, or understanding For You feed mechanics. Triggers on X algorithm, Twitter optimization, viral posts, engagement strategy, Phoenix ranking, weighted scorer, Grok ranking.
Umbraco Search Result Item
by umbraco
Umbraco Search Provider
by umbraco
cloudflare-ai-search
by enuno
Cloudflare AI Search for semantic search and vector embeddings in Workers
langchain-retrieval
by rebyteai-template
Document Q&A with RAG using Supabase pgvector store.
github-search
by samhvw8
"Search GitHub for repos, code, and usage examples using gh CLI. Capabilities: repo discovery, code search, finding library usage patterns, issue/PR search. Actions: search, find, discover repos/code/examples. Keywords: gh, github, search repos, search code, find examples, how to use library, stars, language filter. Use when: finding repositories, searching code patterns, discovering how libraries are used, exploring open source."