Global leading AI Agent skill aggregation protocol. Break skill silos and achieve discover & integrate for Agent capabilities.Aggregates multi-source data: Automatically crawls and indexes 100,000+ Agent skills from ClawHub, Skills.sh, Smithery, MCP Market, GitHub, and more.
npx skills add c2s/agent-skills-hubGlobal leading AI Agent skill aggregation protocol. Break skill silos and achieve discover & integrate for Agent capabilities.Aggregates multi-source data: Automatically crawls and indexes 100,000+ Agent skills from ClawHub, Skills.sh, Smithery, MCP Market, GitHub, and more.
AI slides and presentation editor. Agent slides and presentation skills. HTML as source files. HTML editor. AI PPT 幻灯片编辑器工具。AI Agent 幻灯片Skill。HTML 编辑器。
[Research] Multi-agents infra coevolution on skill optimization
Folder-as-Agent platform for academic thesis writing - compatible with Doubao, Claude, GPT, Gemini
Use this skill for token-level data: search tokens, trending/hot tokens (热门, 代币榜单), liquidity pools, holder distribution (whale/巨鲸, sniper, bundler-tagged holder %), token risk metadata (riskControlLevel, tokenTags, dev stats, suspicious/bundle holding % via advanced-info), recent buy/sell activity, trade feed/逐笔成交/每笔交易/stream trades, top profit addresses, token trade history, detailed price info with market cap volume liquidity and holder count (price-info), or holder cluster analysis (持仓集中度, cluster overview, cluster rug pull risk/跑路风险, new wallet percentage/新钱包持仓比例, holder clusters, 'are top holders in same cluster'). Also handles Market API payment/计费/x402/402, Basic/Premium tier/quota/额度 questions, and MARKET_API_*_OVER_QUOTA / confirming:true responses on token endpoints (advanced-info, top-trader, cluster-*, trades, hot-tokens). NOTE: if the user wants to write a WebSocket script/脚本/bot, use okx-dex-ws instead.
Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services