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Found 2,033 Skills
Pack, share, and load context using Epismo context packs. Trigger on: 'pack this', 'new pack', 'get <id>', 'read <alias>', 'load my context', 'what context do I have', 'restore session', 'save this context', 'share with my team', 'pack this up', 'hand this off', 'publish this guide', 'organize my packs', or any intent to persist or retrieve knowledge across tools or sessions.
Mutating operations on the user's Longbridge watchlist — create group, rename group, add / remove symbols, delete group (optionally purging members). Requires longbridge login. Every mutation requires a two-step preview + confirm protocol. Use only when the user gives a clear imperative ("add X to favourites", "delete the Tech group"); ambiguous prompts ("organise my watchlist") must ask back. Triggers: "把 X 加到自选", "添加到自选", "创建自选分组", "删除自选", "删除分组", "改名分组", "把 X 加到自選", "新增至自選", "建立自選分組", "刪除自選", "刪除分組", "重新命名", "add to watchlist", "create watchlist group", "remove from watchlist", "delete group", "rename group", "watchlist edit".
Use when the user wants to create, list, get, update, rename, or delete a SigNoz saved Explorer view. Trigger on phrases like "save this query as a view", "save this filter", "bookmark this search", "list my saved views", "show me views for traces/logs/metrics", "rename the X view", "update my saved view to also filter Y", "delete the X view", or any request to manage Explorer saved views — even if they don't say "view" explicitly. Also use when someone wants to share a recurring Explorer query with their team and asks how to "save" or "bookmark" it.
Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.
Run an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime
Control and automate real browser sessions through CDP, preserving login state and cookies for LLM-driven interactions
MCP server for real-time Three.js scene inspection, material editing, shader debugging, and performance monitoring from AI agents
Extract watermark-free Douyin/TikTok videos and transcribe audio content using AI speech recognition
Pre-build reality check for AI coding agents — scan GitHub, HN, npm, PyPI, Product Hunt to validate ideas before building
Integrate Anki spaced repetition flashcards with AI assistants through Model Context Protocol for study sessions, deck management, and card creation
Configure and use ktx to build an executable context layer for AI agents querying data warehouses with semantic layers, wiki knowledge, and approved metrics
Build AI agents and agentic workflows. Use when designing/building/debugging agentic systems: choosing workflows vs agents, implementing prompt patterns (chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer), building autonomous agents with tools, designing ACI/tool specs, or troubleshooting/optimizing implementations. **PROACTIVE ACTIVATION**: Auto-invoke when building agentic applications, designing workflows vs agents, or implementing agent patterns. **DETECTION**: Check for agent code (MCP servers, tool defs, .mcp.json configs), or user mentions of "agent", "workflow", "agentic", "autonomous". **USE CASES**: Designing agentic systems, choosing workflows vs agents, implementing prompt patterns, building agents with tools, designing ACI/tool specs, troubleshooting/optimizing agents.