Embeddings
Vector embeddings and similarity
confluence-automation
by aAAaqwq
Automate Confluence page creation, content search, space management, labels, and hierarchy navigation via Rube MCP (Composio). Always search tools first for current schemas.
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."
zai-cli
by numman-ali
Z.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: GitHub code search and reading via ZRead - Tools: MCP tool discovery and raw calls - Code: TypeScript tool chaining Use for visual content analysis, web search, page reading, or GitHub exploration. Requires Z_AI_API_KEY.
ydc-crewai-mcp-integration
by youdotcom-oss
Integrate You.com remote MCP server with crewAI agents for web search, AI-powered answers, and content extraction. - MANDATORY TRIGGERS: crewAI MCP, crewai mcp integration, remote MCP servers, You.com with crewAI, MCPServerHTTP, MCPServerAdapter - Use when: developer mentions crewAI MCP integration, needs remote MCP servers, integrating You.com with crewAI
ai-llm
by vasilyu1983
Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations with cost/safety controls.
ai-agents
by vasilyu1983
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
help-center-design
by vasilyu1983
Design or audit AI-first help centers/knowledge bases/FAQs, including taxonomy, article templates, analytics, and AI support (RAG, chatbot, escalation), using 2025-2026 best practices
data-analytics-engineering
by vasilyu1983
Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation strategy, metrics definition, or analytics data modeling.
PostgreSQL Semantic Search
by laguagu
Claude Code skills for AI apps • Next.js 16 • AI SDK 6 • pgvector • bun • Ralph Loop
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).
youdotcom-cli
by youdotcom-oss
Web search with livecrawl (search+extract) and content extraction for bash agents using You.com's @youdotcom-oss/api CLI. - MANDATORY TRIGGERS: You.com, youdotcom, YDC, @youdotcom-oss/api, web search CLI, livecrawl - Use when: web search needed, content extraction, URL crawling, real-time web data
agent-memory
by TerminalSkills
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember things". Covers file-based memory (MEMORY.md), SQLite with embeddings, vector databases (ChromaDB, Pinecone), semantic search, memory consolidation, and automatic context injection.
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.
mgrep-code-search
by intellectronica
Semantic code search using mgrep for efficient codebase exploration. This skill should be used when searching or exploring codebases with more than 30 non-gitignored files and/or nested directory structures. It provides natural language semantic search that complements traditional grep/ripgrep for finding features, understanding intent, and exploring unfamiliar code.
mgrep-code-search
by intellectronica
Semantic code search using mgrep for efficient codebase exploration. This skill should be used when searching or exploring codebases with more than 30 non-gitignored files and/or nested directory structures. It provides natural language semantic search that complements traditional grep/ripgrep for finding features, understanding intent, and exploring unfamiliar code.
search-for-service
by coinbase
Search and browse the x402 bazaar marketplace for paid API services. Use when you or the user want to find available services, see what's available, discover APIs, or need an external service to accomplish a task. Also use as a fallback when no other skill clearly matches — search the bazaar to see if a paid service exists. Covers "what can I do?", "find me an API for...", "what services are available?", "search for...", "browse the bazaar".
b2c-querying-data
by SalesforceCommerceCloud
Best practices for querying products, orders, customers, and system objects in B2C Commerce. Use when writing product searches, order queries, customer/profile lookups, replacing database-intensive APIs, improving search performance, or diagnosing slow category/search pages. Covers ProductSearchModel, OrderMgr, CustomerMgr, SystemObjectMgr, index-friendly vs database-intensive APIs, and query performance pitfalls. For order lifecycle and status management, use b2c-ordering instead. For custom object CRUD, use b2c-custom-objects instead.
b2c-docs
by SalesforceCommerceCloud
Search and read B2C Commerce (SFCC/Demandware) Script API documentation and XSD schemas with the b2c cli. Always reference when using the CLI to search or read Script API documentation, look up dw.* classes, or browse XSD schemas. Also use when writing B2C scripts, answering "how do I" questions about URLs/products/orders, or verifying class methods and properties.
retrieving-mlflow-traces
by mlflow
Retrieves MLflow traces using CLI or Python API. Use when the user asks to get a trace by ID, find traces, filter traces by status/tags/metadata/execution time, query traces, or debug failed traces. Triggers on "get trace", "search traces", "find failed traces", "filter traces by", "traces slower than", "query MLflow traces".
Exploration Tools
by takeokunn
Tool definitions and usage patterns for codebase exploration (Glob, Grep, Read, LSP). Agents reference this skill instead of inline tool definitions.
ace-tool
by Dianel555
Semantic codebase search, code indexing, and prompt enhancement via standalone CLI. Use when: (1) Semantic code search with natural language queries, (2) Code indexing for remote codebase retrieval, (3) Prompt enhancement with codebase context, (4) Before grep/find/glob operations for better accuracy, (5) Complex requirements clarification, (6) Large codebase navigation. Triggers: "search context", "enhance prompt", "find code that", "index project", "clarify requirements". IMPORTANT: Always use ace-tool BEFORE grep/find/glob for semantic-level code location.
google-drive
by sanjay3290
Interact with Google Drive - search files, find folders, list contents, download files, upload files, create folders, move, copy, rename, and trash files. Use when user asks to: search Google Drive, find a file/folder, list Drive contents, download or upload files, create folders, move files, or organize Drive content. Lightweight integration with standalone OAuth authentication supporting full read/write access.
gmail
by sanjay3290
Interact with Gmail - search emails, read messages, send emails, create drafts, and manage labels. Use when user asks to: search email, read email, send email, create email draft, mark as read, archive email, star email, or manage Gmail labels. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.
go-interfaces
by cxuu
Go interfaces, type assertions, type switches, and embedding from Effective Go. Covers implicit interface satisfaction, comma-ok idiom, generality through interface returns, interface and struct embedding for composition. Use when defining or implementing interfaces, using type assertions/switches, or composing types through embedding.