Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
This skill should be used when the user explicitly asks to "transcribe a meeting", "transcribe audio", "transcribe a meeting recording", "convert audio to text", "generate meeting minutes from audio", "do speech-to-text", "transcribe with speaker diarization", "identify speakers in audio", "transcribe Chinese audio", "transcribe English audio", "transcribe Japanese audio", "multi-speaker transcription", "transcribe a podcast", "transcribe podcast episode", "transcribe an interview", "convert podcast to text", "podcast to transcript", or mentions FunASR, Paraformer, SenseVoice, Whisper, MiMo, MiMo-V2.5-ASR, meeting transcription, podcast transcription, or speaker diarization. Supports multi-speaker meeting and podcast transcription in Chinese, English, Japanese, Korean, Cantonese, and 99 languages (via Whisper), plus Xiaomi MiMo-V2.5-ASR (8B, local GPU) for stronger proper-noun and code-switching accuracy. Automatic speaker diarization via CAM++, hotword biasing (FunASR path), LLM cleanup. FunASR works on GPU and CPU; MiMo requires a local CUDA GPU with >=20GB VRAM.
Rewrite UX, product, research, handoff, ticket, or engineering-facing content so it reads like a capable human practitioner wrote it. Use when generated or existing content is bloated, robotic, unclear, over-structured, audience-blind, or sounds like AI while preserving meaning, evidence strength, and uncertainty.
Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.
Query documented public database APIs with explicit endpoints, filters, pagination, and provenance. Use when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.
Deeply grill an idea, decision, design, plan, or implied approach through evidence, failure modes, and user-owned decisions. Use discovery mode for raw ideas, clarification, "grill me", or an unfinished Product Brief; use audit mode for a formed target that needs a verdict or revision. Continue every reply in an active deep-grill session until its Product Brief or verdict is confirmed, without requiring the user to name the skill again.
When the user is doing development, writing code, writing docs, looking up APIs, or troubleshooting deployment or operations issues related to internal projects at dida (道旅科技), proactively search the Dragon private knowledge base (via the KnowledgePlugin__knowledge_base_search tool of the dragon-knowledges MCP) to obtain internal technical docs, architecture designs, API specs, field definitions, business processes, error codes, configuration and operations material. Be sure to trigger proactively in the following scenarios, without the user explicitly saying "use Dragon" or "search the knowledge base": the user refers to internal assets with "our", "the company's", "internal", "this project's", "production", etc.; the user mentions any dida internal system name (such as Beaver, Phoenix, LionKing, Shopping, EBooking, Wolf, Wolf 2.0, AngryBirds, CRM, Analysis, Whale, Admin, Marketing, Tiger, Bingo, Kangaroo, Finance, Content, Dolphin, Grafana, Penguin, Panda, AutoLine, FalconService, f-operating, f-supplier, f-analysis, f-order, f-policy, f-profit, f-monitor, EBookingBookingAPI, Wuying/无影, customer service system, API channel system, API supplier system, Supplier Service/SS, BDS); the user asks about business rules, product logic, approval flows, alert thresholds, or the meaning of error codes; the user asks about an API field, callback structure, or internal SDK usage and the field name does not look like an open source framework; the user asks about release/canary/deployment/configuration/monitoring tied to a specific internal environment; the user writes code, fixes bugs, writes comments or writes docs in the company's internal code repository; the user mentions the didainternal.com domain or a similar internal domain. When in doubt, lean toward searching — the cost of one internal search is far lower than the cost of "answering wrong or too generically". Use this skill aggressively whenever the user is doing internal dida company development work, even without explicit mentions of Dragon/knowledge base.
Crafts senior leadership communications that deliver judgment rather than activity reports, connecting directly to organizational strategy and driving clear decisions. Use when presenting to board members, C-suite executives, or senior leadership — including status updates, recommendations, and escalations.
Connect a Feishu (Lark) bot to Clawdbot via WebSocket long-connection. No public server, domain, or ngrok required. Use when setting up Feishu/Lark as a messaging channel, troubleshooting the Feishu bridge, or managing the bridge service (start/stop/logs). Covers bot creation on Feishu Open Platform, credential setup, bridge startup, macOS launchd auto-restart, and group chat behavior tuning.
Use after a completed customer, prospect, partner, or important internal sales call, discovery session, demo, or conversation, including when the user supplies or uploads a transcript, notes, recording summary, or other grounded evidence. Advise on, assess, qualify, recap, and produce seller-ready follow-up actions and drafts.
Manage freelance and client work professionally — proposals, contracts, scope management, invoicing, and client communication. Covers the business side of creative work. Triggers on freelance, client work, proposals, contracts, pricing, or project scope requests.
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
Run a one-question-at-a-time research grilling session that sharpens AI research terminology, thesis, hypotheses, experiments, and decisions, then preserves the durable parts as project-owned research docs. Use when the user wants to stress-test a research direction, align vocabulary with an agent, clarify a paper or project thread, scope experiments before committing crew time, or preserve research context, especially for projects run through a Nemo firstmate.
Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via `datasets`, `transformers`, the HF Inference API, `gradio_client`, and methodology citations.
Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via `datasets`, `transformers`, the HF Inference API, `gradio_client`, and methodology citations.
大师.skill — enter an industry to automatically research 6 tracks [industry leaders / tool map / workflows / knowledge canon / information sources / terminology standards], then distill the findings into a runnable industry Master OS skill. Install it in any Claude Code / OpenClaw / Codex / Hermes agent to put it into “industry veteran” mode. MIT, Python + Shell.
Apply structured problem-solving using MECE principle, issue trees, hypothesis-driven approach, and the Pyramid Principle. Use this skill when the user faces a complex, ambiguous problem and needs to decompose it systematically, structure a consulting-style analysis, or organize recommendations clearly — even if they say 'where do I start', 'this problem is too big', 'help me break this down', or 'structure my thinking'.
Plan "what to do next": when the user finishes a stretch of work or gets stuck, list 3-5 next steps with value/cost/when to choose/concrete actions, and flag the best value for effort. Triggers: the user says "下一步", "接下来", "还能做什么", "给点建议", "不知道该干嘛", "帮我理一下", or a response ends and the user seems hesitant. Works for code/learning/life/general.
Use when turning a folder of research PDFs into Obsidian notes, even if Obsidian is not named. Writes one templated literature note per paper and extracts cross-linked atomic concept notes, never overwriting existing ones. A .bib or Zotero library is /lit-sync.
Outlook Exchange CLI for email, calendar, folders, rules, contacts, rooms, OOF, meeting responses, diagnostics, and self-update; use when tasks mention Outlook, Exchange, mail, inbox, calendar, meetings, availability, rooms, folders, rules, or auto-reply.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.