Skill rating
34 139 skills. The A–F grade combines safety (60%) and quality (40%); tests add a bonus. The rating refreshes automatically from open catalogs.
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| # | Grade | Skill | Score ▾ | Safety | Quality | Process | Tests | Popularity | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 6001 | A | Generate multiple radically different interface designs for a module using parallel sub-agents. Use when: user wants to design an API, explore interface options, compare module shapes, or mentions "de | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6002 | A | Designs and implements multi-channel notification systems with email, push, and in-app delivery. Use when you need to build a notification service, set up user notification preferences, create deliver | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6003 | A | Analyze a project and recommend highest-value skills to create or update. Use when: auditing project skills, getting skill recommendations, or reviewing existing skill coverage. | 100 | 84 | B | — | ★ 153 | 5 d ago | |
| 6004 | A | Build Model Context Protocol (MCP) servers that connect AI agents to external services and data sources. Use when a user asks to create an MCP server, build an MCP tool, connect an AI agent to an API, | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6005 | A | Parse PDFs into AI-ready structured data — extract text, tables, images, and metadata with high accuracy. Use when: processing PDF documents for RAG, extracting data from invoices/contracts, building | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6006 | A | Integrate AI applications with RouterBase as an OpenAI-compatible gateway. Use when a user wants to migrate OpenAI SDK calls to RouterBase, configure ROUTERBASE_API_KEY, choose model IDs, design model | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6007 | A | Build swarm intelligence systems where multiple AI agents collaborate to make predictions and solve complex problems. Use when: implementing ensemble AI predictions, building consensus-based decision | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6008 | A | Meta-skill for discovering and invoking the right agent skill for any task. Use when starting a session, when unsure which skill applies, or when you need to understand the development lifecycle and h | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6009 | A | Collect, categorize, and synthesize user feedback from multiple channels into actionable product insights. Use when tasks involve analyzing support tickets, app store reviews, NPS survey responses, so | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6010 | A | Build and configure webhook processing systems with retry logic, signature verification, and dead letter queues. Use when you need to receive, validate, and reliably process incoming webhooks from pay | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6011 | A | Google AI Studio and Gemini API for multimodal AI. Use when you need multimodal AI (text + image + video + audio), long context up to 1M tokens, code generation with Gemini, grounding with Google Sear | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6012 | A | Orchestrate multi-agent Claude Code teams — assign roles, coordinate parallel tasks, share context between agents, and manage team workflows. Use when: running multiple Claude Code agents simultaneous | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6013 | A | You are an expert in OpenAI's Codex CLI, the open-source terminal-based coding agent that reads your codebase, generates and edits code, runs shell commands, and applies changes — all within your term | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6014 | A | Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when a user asks to fine-tune a language model, train a custom LLM, adapt a model to their data, use LoRA or QLoRA, fin | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6015 | A | Google Cloud Vertex AI for enterprise Gemini deployments — production scaling, fine-tuning, and MLOps. Use when deploying Gemini in GCP-native environments, running fine-tuning jobs, needing enterpris | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6016 | A | End-to-end workflow for fine-tuning LLMs using Kaggle datasets. Use when downloading datasets from Kaggle for model training, preparing conversation/customer service data for chatbot fine-tuning, or b | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6017 | A | Build voice-enabled AI applications with the OpenAI Realtime API. Use when a user asks to implement real-time voice conversations, stream audio with WebSockets, build voice assistants, or integrate Op | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6018 | A | Design and implement caching layers for APIs and web applications using Redis or Memcached. Use when you need to reduce database load, improve response times, or handle traffic spikes. Covers cache-as | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6019 | A | Build autonomous financial research agents that analyze stocks, SEC filings, earnings calls, and market data to produce investment reports. Use when: automating investment research, building AI-powere | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6020 | A | Perplexity API for real-time web-search-augmented LLM responses. Use when you need up-to-date information in AI responses, research assistants, fact-checking, current events coverage, or any task requ | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6021 | A | Build multi-agent LLM trading systems for financial analysis and automated trading decisions. Use when: building AI-powered investment research, automating financial analysis pipelines, creating multi | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6022 | A | Clone any website as a pixel-perfect Next.js app using AI agents — automated reconnaissance, design token extraction, component spec generation, parallel building, and visual QA. Use when: reverse-eng | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6023 | A | You are an expert in Cloudflare Workers AI, the serverless AI inference platform running on Cloudflare's global network. You help developers run LLMs, embedding models, image generation, speech-to-tex | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6024 | A | Design, test, and iterate on AI prompts systematically using structured evaluation criteria. Use when building AI features, optimizing agent instructions, comparing prompt variants, or evaluating outp | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6025 | A | Provides Xquik-backed X/Twitter workflows for Hermes Agent through Hermes Tweet. Use when tasks mention searching tweets, reading tweet replies, looking up users, exporting followers, monitoring tweet | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6026 | A | Builds Agent-to-Agent (A2A) servers and clients following Google's open protocol for agent interoperability. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement ta | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6027 | A | Build AI agents that automate scientific research — hypothesis generation, experiment design, data analysis, and paper writing using agentic tree search. Use when: automating research workflows, gener | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6028 | A | Azure OpenAI Service — OpenAI models (GPT-4o, DALL-E 3, Whisper) on Azure infrastructure. Use when deploying OpenAI models with enterprise compliance (GDPR, HIPAA, SOC2), Azure-native auth via Managed | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6029 | A | Build self-improving AI agents using Hermes patterns — agents that learn from interactions, update their own instructions, and adapt their behavior over time. Use when: building agents that improve wi | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6030 | A | Build AI agent teams that collaborate on projects using Squad framework. Use when: orchestrating multiple specialized agents, building collaborative AI workflows, delegating complex tasks across agent | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6031 | A | AWS Bedrock — fully managed foundation models on AWS infrastructure. Use when deploying AI in AWS-native environments, needing enterprise compliance (SOC2, HIPAA), running Claude, Llama, Titan, or Mis | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6032 | A | Manage environment variables and secrets across development, staging, and production environments. Use when someone needs to audit env vars, sync secrets between environments, detect missing or mismat | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6033 | A | Search jobs on Liepin (猎聘), apply to positions, view and edit resumes. Zero-dependency Python CLI wrapping Liepin's official MCP Server. Trigger words: jobs, liepin, resume, 找工作, 搜职位, 投简历, 猎聘, 求职, 招聘, | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6034 | A | Add persistent memory to AI agents using Supermemory API -- the #1 ranked AI memory engine. Use when: building AI assistants that remember users, adding long-term memory to chatbots, creating personal | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6035 | A | Patterns and workflows for AI-assisted development (vibe coding) — building software primarily through natural language with AI coding agents. Use when: setting up an AI-first development workflow, st | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6036 | A | AssemblyAI API for speech recognition, transcription, and audio intelligence. Use when transcribing audio or video files, performing speaker diarization, running sentiment analysis on calls, detecting | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6037 | A | Cohere API for enterprise NLP — embeddings, reranking, RAG, and text generation. Use when building RAG pipelines, semantic search, document reranking, or enterprise NLP applications. Command R+ excels | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6038 | A | Assists with building RAG pipelines, knowledge assistants, and data-augmented LLM applications using LlamaIndex. Use when ingesting documents, configuring retrieval strategies, building query engines, | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6039 | A | Manage AI agent context (memory, resources, skills) using OpenViking's file system paradigm. Use when: building agents with persistent context, managing agent memories across sessions, implementing hi | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6040 | A | You are an expert in smolagents, Hugging Face's minimalist agent framework. You help developers build AI agents that write and execute Python code to solve tasks, use tools from the Hugging Face Hub, | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6041 | A | Import AI-generated UI designs from Google Stitch into your development workflow via MCP. Use when: converting Stitch designs to code, integrating AI design tools with coding agents, building UI from | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6042 | A | Build CLI tools with Commander.js. Use when creating command-line applications, parsing arguments, implementing subcommands, or building developer tools with flags and options. | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6043 | A | Build software with Cursor, the AI-powered code editor. Use when a user asks to configure Cursor rules, set up .cursorrules files, use Composer for multi-file edits, integrate MCP servers, or optimize | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6044 | A | Use DESIGN.md files to give AI agents a complete design system in plain text. Drop a DESIGN.md into your project root and any AI coding agent generates consistent, pixel-perfect UI matching that desig | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6045 | A | Build LLM-powered applications with LangChain. Use when a user asks to create AI chains, build RAG pipelines, implement agents with tools, set up document loaders, create vector stores, build conversa | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6046 | A | Build stateful, multi-step AI agents and workflows with LangGraph. Use when a user asks to create AI agents with complex logic, build multi-agent systems, implement human-in-the-loop workflows, create | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6047 | A | Monitor, trace, debug, and evaluate LLM applications with LangSmith. Use when a user asks to trace LLM calls, debug chain executions, evaluate AI output quality, set up LLM observability, monitor agen | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6048 | A | You are an expert in Langtrace, the open-source observability platform for LLM applications built on OpenTelemetry. You help developers trace LLM calls, RAG pipelines, agent tool use, and chain execut | 100 | 85 | D | — | ★ 153 | 5 d ago | |
| 6049 | A | Builds web automations with Stagehand by BrowserBase, the AI-powered browser automation framework that controls web pages through natural language instructions. Acts on, extracts data from, and observ | 100 | 85 | C | — | ★ 153 | 5 d ago | |
| 6050 | A | Manage Git worktrees for parallel AI agent workflows with Worktrunk CLI. Use when: running multiple AI coding agents simultaneously on different branches, parallelizing feature development with AI, ma | 100 | 85 | D | — | ★ 153 | 5 d ago |