Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.
Universal content grabber — fetch any URL and return structured Markdown. Supports X/Twitter, WeChat, Xiaohongshu, YouTube, GitHub, LinuxDo/IDCFlare/Discourse, Feishu/Lark, KDocs, FlowUs, Youdao Note, Zhihu, Bilibili (with subtitle transcription), Xiaoyuzhou podcasts, Ximalaya podcasts, Telegram, HackerNews, Medium, Reddit, Weibo, Douyin, Zsxq (Knowledge Planet), RSS, 300+ paywall news sites, and any web page. Use when user provides a URL and wants its content extracted.
Hike Capital's knowledge base of investment cognition and methodology. Load this skill when the user needs to reference Hike investment-logic thesis frameworks, investment MEMO / Tablet writing standards, or industry-analysis and due-diligence methodologies, or to resolve common forms of address such as Kevin, 宇超, and 思行 into specific team members and get their Feishu names and user_id. Always use this skill for resolving internal Hike members' names and looking up user_id — not generic contacts tools. It covers the THESIS & RISK loop, three-perspective argumentation, the MEMO ten questions, and the team directory. Use hike-lightyear for project data, hike-seek for talent, and hike-portfolio-report for portfolio operating-data reports.
The CLI for Hike Capital's Lightyear investment project management system. Load this skill when the user needs to query the project database, pull project lists, filter projects by stage/industry/valuation/quadrant, view post-investment stages and the investment pipeline, get system statistics, or mentions terms such as Lightyear, 光年, project intake, project meeting, investment decision meeting, closing, or quadrant. It provides lightyear_cli for project data queries and multi-dimensional filtering. Use hike-seek for talent, hike-portfolio-report for portfolio operating reports, and hike-knowledge for investment MEMO/decision MEMO standards.
Shanxing Zhitansystem CLI. Talent network: Use when the user needs to look up or add talent, search the talent pool, filter by field/company/owner, view talent assigned to me or awaiting evaluation/follow-up, rate talent, view or add interview records, or link talent to a Lightyear project. Meetings: Use when the user needs to view their meeting list, meeting minutes (MEMO) and feedback status, submit meeting feedback, generate or finalize meeting minutes, add attendees, or create a retroactive meeting entry. All Zhitansystem meeting operations for project or networking meetings—including minutes, feedback, and attendees—use this skill; only native Lark operations such as calendar events and room bookings belong to the lark series of skills. Financial report data: Use when the user needs to view financial report research tasks or upload the JSON of the three-part report package (financial metrics/media insights/stock charts) to Zhitansystem. Use hike-earnings-core / hike-earnings-media / hike-earnings-chart to generate or extract the report documents themselves. Load this skill when terms such as 智探, seek, talent network, talent pool, talent, interview, project meeting, networking meeting, meeting, meeting minutes, meeting feedback, pending financial report, three-part financial report package, or upload financial data are mentioned. Use hike-lightyear to search investment projects; use hike-knowledge for investment MEMO/investment decision MEMO standards.
Kimi WebSearch search tool. Calls Kimi's web search capability through the Honghu API, automatically polling for results after a query is submitted. Use when the user needs Kimi search, web search, or AI search to get real-time information. Triggers: kimi搜索, kimi websearch, 联网搜索, AI搜索, kimi搜索.
Laozi's thinking framework and philosophy of living. Based on deep research into 20+ sources — the 81 chapters of the Tao Te Ching, the Shiji's "Biographies of Laozi and Han Fei," Heshanggong's commentary, Wang Bi's commentary, Chen Guying's "Laozi: Modern Annotation and Translation," and Liu Xiaogan's "Laozi Ancient and Modern" — it distills 5 core thought models, 7 life heuristics and a complete expression DNA. Purpose: to serve as a thinking advisor, analyzing system design, leadership, life trade-offs, counterintuitive decisions and similar questions from Laozi's perspective. Use when the user mentions "from Laozi's perspective," "what would Laozi think," "Laozi mode," or "laozi perspective." Also applies to: systems thinking, reverse thinking, leadership cultivation, subtraction strategy, flexible response, and going with the flow. It can also be triggered even when the user merely says "governing by non-action," "the Dao follows nature," "the highest good is like water," "retreat to advance," or "the great Dao is simple." Do not trigger it when the user is only asking general questions such as "is this decision sound" or "help me think this through" — activate it only when system thinking, counterintuitive wisdom, the weak overcoming the strong, governing by non-action and other core Laozi methodologies are involved.
Search and fetch LinkedIn job postings via BrightData. Use when the user wants to: (1) search LinkedIn for jobs by keyword, location, remote type, or date posted (e.g. 'find remote software engineering jobs posted this month'), (2) fetch a specific job by URL or numeric job ID (e.g. 'show me job 4358573391'), (3) analyze job postings for resume tailoring, gap analysis, or comparison.
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
Meeting notes page: title bar with attendees, agenda checklist, decisions block, action-items table with owners and dates, and a “next meeting” footer. Use when the brief mentions “meeting notes,” “minutes,” “1:1 notes,” “all-hands recap,” or “会议纪要.”
Pachca — tasks and reminders: create, list, update, complete, delete. Use this skill when the user wants to create a task or reminder, list tasks, mark a task as done, update a task, manage custom task fields, or set a deadline. Also for weekly reminders and reminder series. NOT for sending messages or managing chats. Use when: создать задачу, список задач, напоминание, поставить напоминание, создать напоминание, обновить задачу, выполнить задачу, удалить задачу, дедлайн, кастомные поля задач, еженедельное напоминание, серия напоминаний. NOT for: отправить сообщение, управление чатом.
Deeply analyzes arXiv papers, public PDF URLs, local PDFs, research project pages, technical blogs, or ordinary web pages, automatically identifies the source type, and generates Obsidian notes with evidence and images. Use when the user provides an arXiv ID/link, public PDF URL, company research page, blog URL, local PDF or existing note and asks for analysis, summary, evaluation, or knowledge-base capture.
This skill should be used when users need help with content planning, calendar management, research organization, content ideation, or multi-platform planning. It activates when users ask about content planning, calendar management, research organization, content ideation, or multi-platform planning.
Use when: you need to understand the market landscape and competitive dynamics, gather industry data, analyze competitor strengths and weaknesses, or assess market opportunities. Do NOT use when: sufficient internal market research already exists, or only a simple size estimate is needed without in-depth analysis.
Process raw meeting transcripts from Granola or other sources into structured notes with frontmatter, action items, summary, and formatted transcript. Use this skill when the user asks to process a meeting transcript or provides a raw transcript that needs formatting.
Use when the user wants a research paper, arXiv/DOI link, or research topic turned into academic slides — journal club / lab meeting (组会汇报), thesis defense (答辩幻灯片), or conference / job talk (学术报告) — or shares a paper and asks to "make slides / 做成 PPT / 讲一下这篇论文", especially when equations, numbers, figures, and citations must stay accurate and editable. NOT for marketing/pitch decks with no scholarly source, NOT for writing the paper itself, and NOT for stylized visual/image decks (use paper-slide-deck for those). No poster or grant-pitch workflow exists in this skill.
Query and summarize site activity logs for a Webflow enterprise site. Surfaces recent changes, identifies who made them, and generates human-readable activity reports. Use for site monitoring, change tracking, publish preparation, or weekly activity summaries. Enterprise plans only.
Use for systems thinking, or when a change may ripple beyond its target: "what are the side effects?", "why does this keep coming back?", "how do these teams or services affect each other?". Maps loops, delays and leverage points. Skip for single-step fixes.
Provides utility tools including IP address lookup, text translation, QR code generation, hash calculation, web page metadata extraction, domain WHOIS lookup, and password generation. Use when users need translation, IP lookup, QR codes, hashing, domain info, or password generation.
Use when the user needs YouTube transcripts, video search, channel browsing, playlist extraction, or content monitoring. Trigger phrases: 'get the transcript for', 'search YouTube for', 'what are the latest videos on', 'list this playlist', 'monitor this channel', or any request involving a YouTube URL, video ID, or @handle. Do NOT use for downloading video or audio files, YouTube engagement data (likes, comments), or private/age-restricted videos.
Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Trigger keywords: read paper, brainstorm, experiment design, prove, write paper, review, professor fit, advisor, cold email, LaTeX, research, NeurIPS, ICLR, ACL, arXiv, 讀論文, 寫論文, 審稿, 實驗設計, 數學證明, 研究方向, 教授分析, 選指導教授.
Baidu email assistant that reads, sends, and manages mail in Baidu enterprise mailboxes. It helps you manage Baidu enterprise mailboxes in natural language, supporting sending and receiving mail, viewing unread messages, managing folders, and more. When the user mentions things like "so-and-so is my leader/boss/supervisor", "remember so-and-so's email", "so-and-so needs special attention", or "record important contacts" — i.e. contact preference settings — use this skill's MEMORY.md to record that information.
Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.
Internal vs external career growth paths, goal setting, career maintenance, and long-term planning for software engineers. Use when deciding between internal promotion vs external job search, setting career goals, or planning long-term career trajectory.
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync. The agent analyzes the transcript itself (no API key, runs on the subscription) and appends key insights, decisions, action items, and trail connections. Supports quick extraction or deep analysis with cross-session pattern detection.
Recommend today’s papers or papers from the past N days/week; run discovery, review, and priority-paper notes. English triggers: "recommend papers", "daily papers", "papers from the past week". 一句话总入口：每日论文推荐。用户说“今日论文推荐”“过去3天论文推荐”“过去一周论文推荐”“最近3天论文”“看看这周有啥论文”时使用。内部会自动串联论文抓取、推荐生成、重点论文笔记三步，无需用户手动拆开。
Use for design thinking, or when a product or service problem needs user understanding before solutions: "what do users really need?", "how might we...", "plan a discovery sprint", "validate this concept". Skip when the spec is frozen or the task is code maintenance.
Decomposes complex unknowns into estimable components to produce rapid order-of-magnitude answers with bounded uncertainty. Use when making quick estimates (market sizing, resource planning, feasibility checks), bounding unknowns with upper/lower limits, sanity-checking strategic assumptions, or when user mentions Fermi estimation, back-of-envelope calculation, order of magnitude, ballpark estimate, or triangulation.
Generates an executive summary from planning artifacts for non-technical stakeholders. Auto-discovers business requirements, technical requirements, and timeline from the docs/ folder structure. Outputs a comprehensive summary covering business problem, solution, features, timeline, success metrics, risks, and resources.
Batch content grabber — bulk fetch bookmarks, user tweets, search results, author notes, wiki pages, subreddit posts, and more from X/Twitter, Xiaohongshu, Reddit, WeChat, YouTube, Feishu, Zhihu. Use when user wants to batch/bulk fetch, search keywords, or grab all posts from an account.
Develop differentiated ideas for products, research, campaigns, names, or process changes. Use when the user asks to brainstorm, explore alternatives, escape generic concepts, or test a promising direction. Compare mechanisms and practical constraints; do not claim originality without an appropriately scoped search. Do not activate for proofreading, factual lookup, or implementing an exact spec.
Mandatory entry point for Taiwan legal questions — for any question involving ROC statutes, precedents, constitutional interpretations, litigation procedure, or any legal figure (court fees, enforcement fees, administrative fees, fines, damages caps, statutory periods, limitation periods, tier thresholds), run this skill first. Trigger phrases include "how much do I have to pay," "court fees," "litigation costs," "how much does it cost to sue," "how long is the limitation period," "within how many years must I file," "how much is the fine," and "what does the statute say." Even if the question appears to require checking only a single provision, and even if the taiwan-legal-db and dr-lawbot tools are directly callable, you must not skip this skill and search on your own — the delegated subordinate-legislation reverse lookups and numeric regression verification this skill prescribes are necessary steps that a query of the parent statute alone cannot reveal (measured: checking only Civil Procedure Art. 77-13 answers a court fee of 3000, when the actual figure is 4100). It covers query routing, dual-track parallel retrieval, citation verification and a trust gate, and provides a follow-up analysis referral menu upon completion.
Defines concepts, quality criteria, and boundaries by showing what they are NOT -- using anti-goals, near-miss examples, and failure patterns to create crisp decision criteria where positive definitions alone are ambiguous. Use when clarifying fuzzy boundaries, defining quality criteria, teaching by counterexample, preventing common mistakes, setting design guardrails, disambiguating similar concepts, refining requirements through anti-patterns, or when user mentions near-miss examples, anti-goals, what not to do, negative examples, counterexamples, or boundary clarification.
Creates strategic portfolio roadmaps that size and sequence initiative bets across time horizons (H1/H2/H3), balance risk profiles (core/adjacent/transformational), and set clear exit/scale criteria for disciplined resource allocation. Use when managing multiple initiatives across time horizons, balancing risk vs return across portfolio, sizing and sequencing bets with dependencies, setting exit/scale criteria for experiments, allocating resources across innovation types, or when user mentions portfolio planning, roadmap horizons, betting framework, initiative prioritization, innovation portfolio, or resource allocation across horizons.
Transforms overwhelming backlogs into clear, actionable priorities by mapping items on a 2x2 effort-vs-impact matrix, identifying quick wins (high impact, low effort), big bets, time sinks, and fill-ins. Use when ranking backlogs, deciding what to do first, prioritizing feature roadmaps, triaging bugs or technical debt, allocating resources across initiatives, identifying low-hanging fruit, evaluating strategic options, or when user mentions prioritization, quick wins, effort-impact matrix, high-impact low-effort, big bets, or "what should we do first?".
Three orthogonal analytical operations (WHERE/WHEN/WHY) + cross-operation synthesis. Each operation attacks the problem from a fundamentally different angle. The disagreements between the three ARE the valuable output. Works on any domain — code, business, strategy, design, text.
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.