Total 50,676 skills, AI & Machine Learning has 8495 skills
Showing 12 of 8495 skills
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.
Assist users in creating quarterly connects that act as a strategic partner to guide employees through comprehensive quarterly reflections, helping craft insightful narratives for Quarterly Connection reviews that align with company values and career development goals.
Create or revise Claude Code-compatible Agent Skills (SKILL.md with optional references/, scripts/, and assets/). Use when designing a new skill, improving an existing skill, or updating/refactoring an existing skill while preserving the original author's intent (avoid semantic drift unless explicitly requested/approved by the author). Also use when integrating skills with subagents (context fork, agent).
Enables Claude to manage Product Hunt launches, upvotes, and product discovery
Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts.
Build AI agents with persistent threads, tool calling, and streaming on Convex. Use when implementing chat interfaces, AI assistants, multi-agent workflows, RAG systems, or any LLM-powered features with message history.
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 155 rules across 10+ AI tools.
Workspace guide to introduce OpenWork and onboard new users.
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
Convert an ML research paper into a complete, runnable code repository. 3-stage pipeline from Paper2Code — Planning (UML + dependency graph) → Analysis (per-file logic) → Coding (dependency-ordered generation). Use for reproducing paper methods.
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Based on AutoSurvey pipeline. Use for writing comprehensive literature surveys.
Guide developers integrating EUrouter into their applications. EUrouter is an OpenAI-compatible AI gateway for EU/GDPR compliance. Use when integrating EUrouter, switching from OpenRouter or OpenAI, configuring EU data residency, routing AI requests to EU providers, managing API keys, or asking about EUrouter's API for chat completions, embeddings, streaming, tool calling, vision, model routing, or GDPR compliance features.