Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Fetch and normalize any content source into clean text with metadata — YouTube video transcripts, TikTok captions, web articles, PDFs, tweets/X posts, local files. Use when the user shares a YouTube link, TikTok link, article URL, tweet/X link, or PDF (URL or file) and you need its actual text content to summarize, analyze, fact-check, or answer questions about it.
Gather business context from connected or provided sources so downstream analysis starts with the right framing. Use when an analytical question depends on missing context, such as what a metric means, what changed recently, or which sources should be checked. If the same prompt asks for diagnosis, recommendation, or a deliverable, gather context first and continue to the focused skill.
Use Chrome DevTools Protocol to allow the AI to "ask Gemini" or "research with Gemini" directly. This uses the user's logged-in Chrome session, bypassing API limits and leveraging the web interface's reasoning capabilities.
Turn the git commits for a Jira ticket into a short, business-friendly implementation report and save it as local markdown. Use when the user wants to report finished work on a Jira ticket: a Jira report, update, or comment, a summary of their commits or changes for the ticket, or a note telling PM/QA what shipped.
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Search and sort results in paper notes in a local Obsidian Vault by title, author, keyword, tag, field, or arXiv ID. Use when the user asks to find, filter, or revisit papers already captured in local notes; do not use for downloading new papers.
Top-tier conference paper writing skill - guides the full writing process from draft to final version from a strict reviewer's perspective. Use it when the user wants to write a paper, improve a paper draft, revise specific sections (introduction, method, experiments, conclusion), polish academic English, respond to reviewer comments, or asks "how should I write this part". Trigger words include: 写论文, paper writing, improve my paper, 帮我修改, review comments, rebuttal, LaTeX, NeurIPS/ICLR/ACL submissions. Applies to all academic paper writing scenarios.
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.
Use when: a requirement change occurs during a project, the change's impact scope and risks need assessing, or change history needs recording. Do NOT use when: the change is trivial and needs no formal assessment, or a clear decision on the change already exists and no analysis is needed
Use when: new requirements need to be entered and tracked, requirement status needs changing, the requirement pool needs unified management, or the growing number of requirements needs structuring. Do NOT use when: requirements are few and can be managed directly, or only one-off analysis is needed without ongoing tracking
Systematic strategies for searching scientific literature across PubMed, arXiv, Google Scholar, and AI-assisted tools. Covers PICO framework for clinical questions, three-tiered search (database-specific, AI-assisted, content extraction), PubMed field tags and MeSH, boolean query construction, and full-text extraction. Use when planning a literature search or choosing a search tier.
Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is this worth watching".
Search WeRead, inspect books and reading data, manage the bookshelf, public-account subscriptions and reviews, read and write highlights and notes, build private article feeds and archives, ask WeRead AI, or import a personal book through the installed `weread-omni` JSON CLI. Use for requests involving 微信读书, WeChat Reading, a user's WeRead shelf, public accounts, articles, highlights, notes, reviews, reading statistics, recommendations, or book lookup.
Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a long-running JSON event stream. Use when the user wants to script WhatsApp as a linked companion device (like WhatsApp Web), pair a device, send a WhatsApp from Python, or listen for inbound messages. Triggers: 'whatsapp', 'send whatsapp', 'pair whatsapp', 'pywhats', 'linked device', 'whatsapp web client'. NOT the official WhatsApp Business/Cloud API.
Use when the user complains about spam on his X/Twitter posts — emoji junk replies from lead-generation accounts such as 同城面付 / 寻固炮 / 线下上门 / 免费破处 spamming his tweets — and wants them removed. Covers the last 7 days (X recent-search window). Triggers — "把这些spam删掉", "清理X垃圾回复", "推文下面好多引流号", "clean spam replies", "/wjs-cleaning-spam".
Academic paper writing skill with 12-agent pipeline. v2.4: LaTeX output formatting hardening — mandatory apa7 class, text justification fix, table column width formula, bilingual abstract centering, standardized font stack, PDF must compile from LaTeX. Supports IMRaD, literature review, theoretical, case study, policy brief, and conference paper structures. APA 7.0 (default), Chicago, MLA, IEEE, Vancouver citation formats. Bilingual abstracts (zh-TW + EN). Multi-format output (LaTeX, DOCX, PDF, Markdown). Triggers on: write paper, academic paper, paper outline, write abstract, revise paper, check citations, convert to LaTeX, guide my paper, parse reviews, revision roadmap, 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 檢查引用, 引導我寫論文, 帶我規劃論文, 逐章規劃, 論文架構, 審查意見, 修訂路線圖.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Guides advanced social science research methods — discourse analysis (Fairclough CDA, Gee), conversation analysis, quantitative content analysis, Qualitative Comparative Analysis (QCA), process tracing, archival research, participatory/community-based research (PAR, CBPR), Delphi and Q methodology, social network analysis (SNA), bibliometrics and scientometrics, systematic mapping reviews, and program/policy evaluation. Use when designing or conducting any of these studies — choosing a specialized method, building a coding scheme, establishing causal mechanisms in case studies, mapping relational or subjective data, or applying an evaluation framework. For interpretive coding (thematic analysis, grounded theory, IPA, ethnography) use alterlab-qualitative-methods; for qual+quant integration use alterlab-mixed-methods; to run QCA, SNA, or text-as-data analyses on data use alterlab-qca, alterlab-sna, or alterlab-text-as-data. Part of the AlterLab Academic Skills suite.
Use for analytical thinking, or when a question needs breaking down and evidence: "why did metric X drop?", "what drives this?", "break this down", "what data do we need?". Builds a tree, hypotheses and evidence, ends with an answer and key uncertainty. Skip for quick verdicts.
Answer Claude Club questions the way Samin Yasar teaches them. Use when the member asks how Samin approaches something, Claude Club / Skool lessons, Masterclass or Skills Vault topics, trading or automation setups, MCP / Claude Code install or VPS, lesson links, timestamps, or "find this in Claude Club." Always call Ask-Samin MCP search first; open with the Skool https URL as a markdown link. Prefer Samin's Claude Club approach over generic internet advice.
Manage files on Baidu Netdisk. Supports uploading, downloading, saving to Netdisk, sharing, searching, moving, copying, renaming, and creating folders. Trigger when the user mentions “百度网盘,” “bdpan,” or “网盘” in connection with file operations.
This skill MUST be used when evaluating high-stakes decisions with bias-aware quality control, including proposal review, decision meeting facilitation, personal coaching, and autonomous agent review. MUST trigger on requests such as 重大決策、偏誤檢查、提案審查、決策會議引導、決策教練、 go/no-go 決策、AI 自行審查決策.
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page. Do NOT use for URLs ending in .md — those are already markdown, use WebFetch directly.
Use for anything related to Teambition tasks and projects. Triggers on: checking my todos, what tasks are due today or this week, create a task, update task status or priority or assignee or note, mark task as done, query overdue tasks, search tasks by keyword, view task details, upload file to task, check team members, query project list, add task comment with @mention, track task progress. NOT for: non-Teambition platforms or Git operations.
Any live-web task via the Firecrawl CLI — including ordinary web research: searching the web, reading or extracting pages, gathering sources, discovering site URLs, bulk extraction, downloading a site, change alerts, or pages needing clicks/login — web only; local files route to firecrawl-parse. For US legal or regulatory questions use gov; for papers use firecrawl-research-index; for library, API, error, or bug questions use firecrawl-developer-index.
Executive coaching for startup founders based on methodologies from world-class coaches: Bill Campbell, Jerry Colonna, Marshall Goldsmith, Ben Horowitz, Fred Kofman, and Matt Mochary. Use this skill to: (1) Coach the founder through difficult decisions, team issues, or strategic challenges (2) Provide support during moments of doubt, overwhelm, or imposter syndrome (3) Guide leadership development and personal growth conversations (4) Help navigate co-founder conflicts, board dynamics, or hard conversations (5) Proactively offer coaching when the founder seems stuck, stressed, or avoiding a decision Invoke with /founder-coach or when you detect the founder wrestling with a challenge that would benefit from coaching.
Run a structured post-mortem analyzing what went well, what went wrong, and extractable lessons. Pulls git history, milestone data, and retrospective notes automatically. Triggers on: "post-mortem", "project review", "what did we learn", "lessons learned", or when a major milestone or project is complete. Do NOT invoke for sprint-level retrospectives (use game-retrospective) or design reviews (use game-design-review). Part of the AlterLab GameForge collection.
Invoke when the user needs to plan a development sprint, break down tasks, schedule game work, or organize a sprint with cross-discipline dependencies. Triggers on: "sprint plan", "task breakdown", "development planning", "scheduling", "sprint backlog". Do NOT invoke for scope evaluation (use game-scope-check) or retrospectives (use game-retrospective). Part of the AlterLab GameForge collection.
Zhang Xuefeng college application advisor AI. Uses Zhang Xuefeng's way of speaking and thinking to eliminate the information gap in college application for ordinary families. Core framework: city > school > major; employment-based backcasting; four-step decision process (feasible set → backcast from goals → correction for the AI era → three方案: reach, match, safety). Covers: major selection, college recommendations, employment prospects, subject selection under the new gaokao, university planning, and risk correction for the AI era. Install: npx skills add eric-yibo-shen/zhangxuefeng
A set of resources to help write all kinds of internal communications, using company-specific formats. Use when asked to write internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Jira issue workflows for search, issue updates, transitions, comments, field discovery, and interactive credential setup via the Jira REST API. Use when you need to configure Jira access, search with JQL, inspect an issue, create or update work items, move an issue between statuses, post comments, or discover required fields for issue creation.
Comprehensive Feishu/Lark integration skill for OpenClaw. Covers messaging, group management, Bitable (multi-dimensional tables), documents, calendar, video conferencing (vc.v1), meeting minutes (minutes.v1), task management, approval workflows, contacts, cloud drive, wiki/knowledge base. Requires the official Lark MCP server to be configured and running.
Guide a bounded, user-led coaching process for personal goals, decisions, transitions, habits, recurring nonclinical patterns, accountability, and progress review. Use when a person explicitly asks to be coached, wants reflective challenge, or wants help examining ambivalence while retaining ownership. Do not use for therapy, crisis support, diagnosis, direct factual or action requests, product or stakeholder discovery, or medical, legal, financial, addiction, domestic-violence, or other specialist advice.
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.).
Generate a complete professional event plan from guest background material. Takes guest bio / CV / intro copy as input, runs a multi-turn clarification dialog (activity type, audience, duration, tone), and outputs a cohesive plan with title + promo copy, minute-level rundown, tiered host question set, and gift / takeaway suggestions. Trigger when user mentions "活动策划", "策划案", "嘉宾对谈", "沙龙策划", "主持人问题", "活动流程", "event planning", "host prep", "salon plan", or pastes a guest bio asking for an event plan.
Structured business strategy frameworks — SWOT, OKR, Porter's Five Forces, McKinsey 7S, BCG Matrix, Blue Ocean, and change management models. Use when explicitly planning company/product strategy, setting measurable business goals, analyzing competitive positioning, or designing organizational change. Not for general business discussion — user should be asking for a framework or structured analysis.
This skill adds data(like resources) to OpenViking Context Database (aka. ov). Use when an agent needs to add files, data from URLs, or external knowledge during interactions. Trigger this tool when 1. is explicitly requested adding files or knowledge; 2. identifies valuable resources worth importing; 3. the user mentioned adding to OV/OpenViking/Context Database. This skill helps how to use CLI like `ov add-resource`, `ov add-skill` and `ov add-memory` to add resource data, skill files, memory files to OpenViking.
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.