Total 30,711 skills, AI & Machine Learning has 4960 skills
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Benchmark any agent skill to measure whether it actually improves performance. Use when the user wants to evaluate, test, or compare a skill against baseline, or when they mention "benchmark", "eval", "skill performance", or "does this skill help". Runs isolated eval sessions with and without the skill, grades outputs via layered grading (deterministic checks + LLM-as-judge), analyzes behavioral signals, and generates a comparison report with a USE / DON'T USE verdict.
Generate professional investment reports for stocks and ETFs. Use when user requests market analysis, investment reports, stock analysis, or trading recommendations for financial instruments (SPY, AAPL, TSLA, etc.). Creates institutional-grade reports with technical indicators, AI-powered insights, charts, and investment recommendations.
Xiaohongshu End-to-End Content Workflow: From data collection to AI analysis to content generation, using the Kimi K2 model. Supports web crawling, analysis, note generation, and AI image prompt generation.
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
Identify and eliminate AI-generated traces in Chinese text to make articles more natural and human-like. AI writing feature detection based on Chinese context, including clichés, over-modification, mechanical structures, etc. Referenced the Wikipedia "Signs of AI writing" guide and localized it for Chinese context.
Use this skill before any creative work - new features, architecture decisions, project inception, or design exploration. Activates on mentions of brainstorm, ideate, design session, explore options, what should we build, how should we approach, let's think about, new feature, new project, architecture decision, or design exploration.
Three-way conversation between Hayek × Mises × Claude. Multi-role discussion from the perspective of Austrian economics. Trigger: /chatroom-austrian, /austrian-school, "Austrian Chat Room" Austrian economics chatroom. Hayek × Mises × Claude debate. Trigger: /chatroom-austrian, /austrian-school, "Austrian chat"
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Computational text analysis for sociology research using R or Python. Guides you through topic models, sentiment analysis, classification, and embeddings with systematic validation. Supports both traditional (LDA, STM) and neural (BERT, BERTopic) methods.
Remove AI generation traces from text. Suitable for editing or reviewing text to make it sound more natural and more like human writing. This is a comprehensive guide based on Wikipedia's "Signs of AI writing". It detects and fixes the following patterns: exaggerated symbolic meaning, promotional language, superficial analysis ending in -ing, vague attribution, overuse of em dashes, rule of three, AI vocabulary, negative parallelism, excessive connecting phrases.