Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Comprehensive guide for integrating Obsidian vaults as AI-powered second brains with Claude Code. Covers MCP integration, vault manifests, self-evolving patterns, auto-linking, and knowledge graph automation. Use when setting up Claude Code + Obsidian workflows, implementing bidirectional sync, creating CLAUDE.md manifests, or building self-healing knowledge systems.
USE FOR web search. Real-time web search for AI agents powered by Octen. Fast, fresh, and relevant — returns ranked results with highlights, full content, domain filtering, and time filtering. Average response under 80ms with minute-level index freshness. Also supports broad (multi-query) search that fans one question into several sub-queries for comprehensive coverage.
Your dev team ships features nobody asked for while user-reported bugs pile up for months. Operations blames engineering for ignoring users; engineering blames operations for not understanding technical constraints. This gives you the complete Product × Engineering × Operations alignment SOP — from unified backlog to 10-day sprint cadence to veto power rules. What's inside: • Dual-layer Kanban system (master backlog + sprint board with unified tagging) • 10-day sprint standard process (Day 1 dev → Day 6 testable build → Day 10 ship) • Issue template with reproducibility requirements (3x reported = auto-severe) • Tri-party alignment meetings (daily standup / sprint planning / sprint review) • Operations veto power on releases (P0 bug = block shipping) • User feedback → product iteration closed loop (beta testing + interview SOP) • Core metrics framework (acquisition → activation → retention → monetization → referral) • Technical debt management (20-30% sprint capacity reserved) • Ready-to-use templates: Bug Report, Sprint Planning, Responsibility Matrix Built from: Real product strategy meetings + beta testing frameworks. References Supabase sprint model, Manus/DeepSeek commercialization alignment. By @WeiYipei. Triggers: "product ops" | "engineering operations" | "product development SOP" | "sprint planning" | "iteration management" | "cross-functional alignment" | "product engineering ops" | "dev ops collaboration" | "产研运协同" | "迭代管理" | "产品研发运营" | "プロダクト開発運営" | "제품개발운영"
Integration with protocols.io API for managing scientific protocols. Use this skill when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Use when the user wants to collect research material for an article or topic by gathering YouTube videos and web articles into a NotebookLM notebook, then running analysis queries and saving results as markdown. Best for "收集素材"、"给我找这个话题的相关视频和文章"、"整理成 NotebookLM 分析" type requests. Combines yt-dlp YouTube search, NotebookLM `nlm` CLI research, and markdown report output.
Plan, conduct, evaluate, and synthesize rigorous research investigations with credible evidence and a traceable method, including source-to-claim closure for media evidence. Do not use this skill for repeated source extraction and durable note orchestration; use `research-and-vault` for that capture workflow, or `ffmpeg` for media operations.
Use whenever the user mentions a Jira issue key and wants more than a surface-level lookup — "Read PROJ-123", "What's PROJ-123 about?", "Give me context on PROJ-123", "Deep dive PROJ-123", "What's blocking PROJ-123?", "Summarize PROJ-123 and its dependencies", "I need to work on PROJ-123, what should I know?", or any request to understand an issue's purpose, scope, or requirements. Thoroughly researches and synthesizes a Jira issue including all linked issues, sub-tasks, blocked dependencies, and supporting Confluence documentation.
This skill should be used when the user asks to research, google, search the web, look it up, check the latest, find best practices, read a URL, compare options, verify a claim, or otherwise needs information that is external, current, or better sourced than recall.
Expert guidance for fetching and parsing web content from URLs, handling various content sizes, JavaScript-rendered sites, and working around tool limitations. Use when fetching articles, documentation, social media posts, or any web content for translation, analysis, or archiving.
Analyse consequential choices with outside views, incentives, inversion, scenario arithmetic, opportunity costs, and explicit update conditions. Use for decision memos, premortems, strategy choices, or a requested red-team; not routine factual questions or a reason to overanalyse a small decision.
Xie Shengzi's thinking framework and way of speaking. Based on deep research into the book Wujie Chengzhang, 20+ episodes of the Xiaoyuzhou podcast, Bilibili long-form livestreams, SSPAI long-form articles, Jike/Weibo/Threads social media posts, Xiaohongshu content strategy, and the highlights of the 2025 year-end talk, it distills 6 core mental models, 12 decision heuristics, a complete expression DNA, and a corpus of 80+ verbatim quotes. Purpose: to act as a thinking advisor and analyze personal IP building, content creation, career growth, AI-era strategy, business cognition and other questions from Xie Shengzi's perspective. Trigger phrases: "from Xie Shengzi's perspective", "what would Xie Shengzi think", "Shengzi perspective", "Xie Shengzi mode", "Wujie Chengzhang perspective". Also trigger when the user merely says "help me think from Xie Shengzi's angle", "what would Xie Shengzi say", or "switch to Xie Shengzi".
Use this skill whenever you need to automate or control Google Chrome on Linux using the user's existing authenticated session on any site — particularly sites that block automated or headless sign-in (MFA, CAPTCHA, OAuth, bot detection). Trigger any time the user asks you to "use Chrome", "open the browser", "automate a website", "control the browser", "use agent-browser", or wants to do something on a site they're already logged into. Also trigger when the user mentions CDP, remote debugging, or connecting to a running Chrome instance on Linux. This skill is essential whenever agent-browser needs an authenticated session — don't skip it, since missing the profile-copy step will drop you on a sign-in page you can't get past.
Search the bioRxiv preprint server and retrieve paper metadata or download PDFs via its API. Use when finding life sciences preprints by keywords, authors, DOI, date ranges, or categories, or when conducting a biology literature review of not-yet-peer-reviewed work. Part of the AlterLab Academic Skills suite.
Evaluate scientific claims and evidence quality using evidence grading frameworks (GRADE, Cochrane risk-of-bias tools such as RoB 2 and ROBINS-I), assessing experimental design validity and identifying biases, confounders, statistical pitfalls, and logical fallacies. Use when judging evidence quality, grading certainty of evidence, spotting design or causal-inference flaws, identifying biases or confounders, naming statistical fallacies, or teaching critical analysis. For writing a formal submittable peer review use alterlab-peer-review; for a multi-reviewer mock panel verdict use alterlab-paper-reviewer; for IRB/consent/conflict-of-interest ethics use alterlab-research-ethics. Part of the AlterLab Academic Skills suite.
Search and retrieve arXiv academic papers by topic, category, or paper ID — with AlphaXiv-enriched AI-generated overviews. Uses arXiv Atom API across cs.AI/cs.LG/cs.CL/cs.CR/cs.MA/cs.SE/cs.IR. Three workflows: Latest, Search, Paper. USE WHEN arxiv, papers, latest papers, research papers, recent ML papers, paper lookup, summarize paper, latest LLM papers, AI safety papers, cs.AI latest. NOT FOR general research (Research), URL parsing, or annual reports.
Skill for creating the same Chinese-style technical résumé: based on the ASu single-column, high-density technical résumé template, it generates or reproduces an editable HTML/PDF from real experience; use only when the user enters "/asu-resume", "我要阿酥同款简历", or explicitly asks for the ASu style, a reproduction of a reference résumé, or this template as HTML/PDF. When the request is only to package experience, rewrite projects, or write an HR self-introduction, use /asu.
Query bioRxiv/medRxiv preprints via REST API. Search by DOI, category, or date range; retrieve metadata (title, abstract, authors, category, DOI, version history) and PDFs. No auth. For peer-reviewed biomedical use pubmed-database; broader scholarly search use openalex-database.
Use when automating a real, logged-in Chrome WITHOUT disturbing the user's open tabs — e.g. authenticated sessions like ChatGPT, LinkedIn, or any site needing a persistent login. Launches or reuses a dedicated debug Chrome instance per named profile that coexists with the user's main browser; it never quits or kills any browser (unlike real-browser, which closes Chrome Beta's tabs). Trigger on "automate this site without closing my tabs", "use my logged-in session", "open ChatGPT/LinkedIn in automation", or when a browser task must preserve the user's existing windows. macOS, requires the agent-browser CLI.
Track A-share sell-side M&A and deal pipeline with milestones, deadlines, and action items. Adapted from the original deal-tracker skill for Chinese market deal processes. Triggers on "A股交易跟踪", "并购进度", "deal tracker China", "M&A pipeline A-share", or "track progress on [deal]".
Post-close value creation plans for China-focused portfolio companies. Adapted from the original value-creation-plan skill for Chinese business context, management practices, and market dynamics. Triggers on "A股投后增值", "价值提升计划", "value creation plan China", "100-day plan China", "portfolio value creation", or "value creation [company]".
Clean readable web fetch for modern pages, with WeChat cleanup, markdown output, batch fetch, selector overrides, and support for many hard-to-fetch pages. Fetches clean, readable body content from modern web pages, supports WeChat official account article fetching and trailing noise cleanup, reducing useless information and token consumption; suitable for news, blogs, announcements, and many pages where ordinary fetch is unstable or hindered by anti-scraping or dynamic rendering.
ELI5-style explanations with analogies and multiple examples. Explains concepts at different levels (ELI5, high school, undergraduate, graduate). Uses real-world analogies and visual metaphors. Use when explaining difficult concepts, clarifying confusing topics, or learning new subjects. Triggers - explain concept, ELI5, explain like I'm 5, what is, how does, why does, analogy for, simple explanation.
Author FigJam boards with granular control — sticky notes (single + batch), connectors between nodes, shapes-with-text, sections, tables, code blocks, and auto-arrange — plus read back board contents and the connection graph. Use when the user wants to build or edit a FigJam board element-by-element. Triggers: 'add stickies to FigJam', 'create a flowchart/diagram in FigJam', 'connect these nodes', 'make a section/table/code block in FigJam', 'auto-arrange the board', 'read what's on the FigJam board', 'map the connections'. More granular than the native generate_diagram (which produces a whole diagram in one shot). FigJam files only (figma.editorType === 'figjam'). Requires the Figma Desktop app (Plugin API).
Systematic visual geolocation reasoning from images. [VAD] Analyzes photos, street views, or satellite imagery to determine location. Uses visual clue extraction, hypothesis formation, and web verification. [NÄR] Use when: geolocate, identify location, where is this, find this place, geographic analysis, location from image, OSINT geolocation [EXPERTISE] Visual analysis, geographic indicators, verification strategies
Idea generation skill for academic research — from divergence to convergence, systematically producing high-quality research ideas. Use this skill whenever the user wants to brainstorm research directions, find a new research idea, or asks "what research can I do next." Trigger words include: brainstorm, 想 idea, research direction, what to do next, what can be researched, find gap, research proposal. Suitable for academic research idea generation at any stage.
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
This skill MUST be used when the user needs stock screening, portfolio risk review, dividend portfolio design, pre-earnings analysis, industry competition analysis, DCF valuation, technical analysis, or stock trend/anomaly detection. MUST trigger on requests like 選股, 投資組合風險, 股息策略, 財報前瞻, DCF 估值, 技術面分析, 產業競爭研究, 趨勢識別, or investment research prompts.
Plan Japanese study, create printable learning materials, explain familiar expressions, and review exercises while maintaining a private learning history across sessions. Use for ongoing Japanese learning and study records, not unrelated document work.
Extract insights from multi-agent interactions, identify patterns, and build collective intelligence through cross-agent learning and knowledge management. Use when synthesizing findings, building knowledge bases, or improving system-wide practices.
Work with project documentation and the central knowledge repository (marcioaltoe/secondbrain). Use when editing docs/, CONTEXT.md, specs, ADRs, or task files in any repo with a .secondbrain-project file; when deciding where a documentation change should be committed; when touching secondbrain's mirror, notes, shared or wiki areas; and when research, planning or implementation work could consult or feed the second brain (wiki + qmd search).
Build a source-grounded map of a research topic by comparing papers, benchmarks, code, and genuine disagreements. Use whenever the user wants to understand a research area, not just find papers — including phrasings like "what's the current state of X", "what should I read on Y", "is X still SOTA", "are there good baselines for Z", "what does the field believe about W", "survey this area for me", "what are the key papers on X", "compare these two approaches", or "is this claim actually well-supported". Also use when the user is about to build on a method and should first verify the evidence base is solid. If the user already has a source map and wants polished Related Work prose, use related-work-writer instead. The skill's main job is preventing hallucinated consensus — confidently synthesized positions that aren't grounded in the actual sources.
Analyze and clean up macOS disk space for any user. Use when the user says 'free up space', 'disk full', 'storage cleanup', 'clean my Mac', 'what's taking up space', 'Storage Almost Full', 'delete caches', 'reclaim disk space', 'check disk usage', 'low on storage'. Targets: Trash, Downloads, Photos, Mail, iMessage, Music, browser caches, cloud storage, iOS backups, app caches, large apps, macOS installers, screen recordings, system data, developer tools (Xcode, npm, Docker, Homebrew). Actions: scan, analyze, identify, clean, delete, prune, reclaim, free up.
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.