发现最适合你需求的 AI 技能
This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses DuckDuckGo's search API to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.
通过 notesmd-cli 操作 Obsidian 知识库 — 搜索、创建、编辑、移动、删除笔记及管理 frontmatter,无需 Obsidian 运行。
Google Weather API - accurate, real-time weather data. Get current conditions, temperature, humidity, wind, and forecasts. Powered by Google's Weather API for reliable, hyperlocal data updated every 15 minutes. Supports any location worldwide.
Generate Obsidian-compatible visualization files (Excalidraw / Mermaid / Canvas). Supports text descriptions and image inputs, outputs editable diagrams in Obsidian or standard formats.
Zoom API integration for meetings, calendar, chat, and user management. Use when the user asks to schedule meetings, check Zoom calendar, list recordings, send Zoom chat messages, manage contacts, or interact with any Zoom Workplace feature. Supports Server-to-Server OAuth and OAuth apps.
Read and write data with an Obsidian vault used as a shared knowledge base. Use when an agent needs to read vault notes (business plan, tasks, milestones, team info), write updates back to vault files, or query vault contents. Triggers on phrases like "read the vault", "check the business plan", "update open questions", "add a milestone", "what's in the vault", "update the business plan", "check the vault".
Project management for the Lofy AI assistant — tracks multiple projects with milestones, priority scoring engine (urgency × job relevance × momentum × energy match), meeting prep automation, time logging, stale project alerts, and work session recommendations. Use when managing projects, prioritizing work, preparing for meetings, or tracking milestones and deadlines.
Semantic search across your Obsidian vaults using local embeddings (Ollama + pgvector). 10 MCP tools: hybrid/semantic/keyword search, file CRUD, batch reads, live re-indexing, and a monitoring dashboard. Fully local — no API keys, no cloud, zero cost.
Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows, infrastructure testing.
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Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.