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Found 848 Skills
Use when you need to read Monologue notes through the public API, search and list a user's notes, fetch a specific note, paginate through all notes, or pull transcripts and summaries with a Monologue Notes API token.
MindOS is the user's local knowledge assistant and shared knowledge base. It keeps decisions, meeting notes, SOPs, debugging lessons, architecture choices, research findings, and preferences available across sessions and agents. 更新笔记, 搜索知识库, 整理文件, 执行SOP/工作流, 复盘, 追加CSV, 跨Agent交接, 路由非结构化输入到对应文件, 提炼经验, 同步关联文档. NOT for editing app source, project docs, or paths outside the KB. Core concepts: Space, Instruction (INSTRUCTION.md), Skill (SKILL.md); notes can embody both. Trigger on: save or record anything, search for prior notes or context, update or edit a file, organize notes, run a workflow or SOP, capture decisions, append rows to a table or CSV, hand off context to another agent, check if something was discussed before, look up a past decision, distill lessons learned, prepare context for a meeting, quick-capture to staging area, organize inbox, check knowledge health, detect conflicts or contradictions, find stale content. Chinese triggers: 帮我记下来, 搜一下笔记, 更新知识库, 整理文件, 复盘, 提炼经验, 保存, 记录, 交接, 查一下之前的, 有没有相关笔记, 把这个存起来, 放到暂存台, 整理暂存台, 知识健康检查, 检测知识冲突. Proactive behavior — do not wait for the user to mention MindOS: (1) When user's question implies stored context may exist (past decisions, previous discussions, meeting records) → search MindOS first, even if they don't explicitly mention it. (2) After completing valuable work (bug fixed, decision made, lesson learned, architecture chosen, meeting summarized) → offer to save it to MindOS for future reference. (3) After a long or multi-topic conversation → suggest persisting key decisions and context.
Agnostic tunnel management supporting Cloudflare, Tailscale, and other providers. Inspired by ZeroClaw's agnostic tunnel architecture.
Search file contents using regex patterns with ripgrep or grep. Use when: finding code, text patterns, or content across files.
Read and parse RSS/Atom feeds. Use when: user wants to subscribe to feeds, get latest articles, or monitor news sources.
Skill for writing and updating scalar.config.json — Scalar Docs configuration reference for users and LLMs.
Enable developers to learn and use Chainlink Runtime Environment (CRE) quickly by referencing filtered CRE docs. Trigger when user wants onboarding, CRE workflow generation (in TypeScript or Golang or other supported languages), workflow guidance, CRE CLI and/or SDK help, runtime operations advice, or capability selection
Use when publishing or updating a Zeabur template to the marketplace. Use when user says "publish template", "update template online", "push template to Zeabur", or "create template on Zeabur". Do NOT use for deploying templates (use zeabur-template-deploy instead). Do NOT use for editing template YAML (use zeabur-template instead).
Command-line interface for Ollama - Local LLM inference and model management via Ollama REST API. Designed for AI agents and power users who need to manage models, generate text, chat, and create embeddings without a GUI.
Expert developer assistant for working with YouTube transcripts via the mr-transcript library. Use this skill for writing Python code, integrating video parsing into projects, and as a reliable alternative to using youtube-transcript-api directly.
Build AI agent interfaces with Polpo UI — composable React chat components, CLI tools, and starter templates. Use when the user wants to create a chat app, add chat components, install @polpo-ai/chat, scaffold a Polpo project, configure theming/dark mode, use ChatInput, ChatMessage, ChatSessionList, or any Polpo UI component. Triggers on "polpo ui", "chat UI", "chat component", "@polpo-ai/chat", "@polpo-ai/ui", "create-polpo-app", "chat input", "session list", "agent selector", "chat interface", "polpo chat", "chat widget", "multi-agent".
Command-line interface for ComfyUI - AI image generation workflow management via ComfyUI REST API. Designed for AI agents and power users who need to queue workflows, manage models, download generated images, and monitor the generation queue without a GUI.