Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
When the user needs to think through a business decision, wants a sparring partner for strategy, needs to pressure-test an idea, or says things like 'I'm trying to decide,' 'should I,' 'what do you think about,' 'help me think through,' 'I'm stuck on.' Not for routine tasks — for the decisions that keep you up at night.
Fact-check articles, posts, news and AI-synthesized content before publication: claims, quotes, studies, URLs and laundered citations. Use to fact-check, verify claims or sources, check accuracy, verify citations, validate references, or audit AI-summarized content.
Entry point for the TC 天策 knowledge base. Use when the user enters "/tc-knowledge", or asks to search TC general methods, explicitly query 天策's historical public expressions, retrieve or process the dontbesilent/DBS open-source tweet collection, explain method sources, connect Feishu/Notion/local folders, register sources, distill knowledge atoms, import anonymized experiment feedback that the user has actively authorized, or check knowledge versions and conflicts. By default, only core reference sources, knowledge packs, and knowledge atoms are returned; historical original tweets must be explicitly requested by the user and retrieved separately, and must not participate in startup project recommendations, user capability judgments, or current market judgments. For ordinary startup problem-solving, still prefer /tc.
TC startup-state archiving tool. Use when the user says "/tc-state", "save this startup judgment", "remember the current plan", "restore the last TC progress", "continue the last startup question", "list TC archives", "generate a phase report", or explicitly asks to hand redacted market evidence to a TC knowledge candidate. Saves confirmed questions, judgments, actions and evidence locally, or exports local candidates after authorization each time; it never uploads automatically and never stores sensitive raw text on the user's behalf.
Manage time effectively as a solopreneur to maximize productivity and avoid burnout. Use when struggling with focus, feeling overwhelmed, context-switching too much, or wanting to optimize daily routines. Covers time-blocking, deep work, energy management, distraction elimination, and sustainable productivity systems. Trigger on "time management", "productivity", "focus", "get more done", "manage my time", "deep work", "avoid burnout", "daily routine".
A framework for assessing and upgrading how you run your personal time. Use when you feel "I work hard but my income won't rise" or "others earn far more for the same amount of work". Core formula: personal output value = price per unit of time × time that creates value. Four models, from low to high: retail → wholesale → trading → taxation. Not applicable to those who already have a platform-level business model. Key trigger signals: "I'm busy all day but my income isn't growing", "why do others earn more without working as hard", "how do I break through my income ceiling".
Analyze any public video URL (Loom, YouTube, etc.) and produce a vivid, engineer-grade report of what was shown and said. Use when a user shares a Loom, YouTube, or other video URL and wants it analyzed, summarized, transcribed, or understood by an AI — without needing to watch it themselves.
All online operations must be handled through this skill, including searching, web scraping, post-login actions, and online interactions. Use when the user asks to search for information, view web content, visit a site that requires login, interact with a web interface, scrape social media content (Xiaohongshu, Weibo, Twitter, etc.), read dynamically rendered pages, or perform any online task requiring a real browser environment.
Ingest sources into WikiContext, synthesize and publish cited knowledge pages, answer questions from its authenticated SQL evidence, maintain authoritative repository files and their GitHub destinations, and export a reproducible Obsidian vault. Use for WikiContext knowledge operations, including text, PDF, reviewed images, external transcript bundles and authorized Gemini audio ingestion; Markdown exports are presentation only.
Zhang Xuefeng’s thinking framework and style of expression. Based on in-depth research into 5 books, 15+ authoritative media interviews, 30+ first-hand quotes, 11 key decision records, and a complete life timeline, it distills 5 core mental models, 8 decision heuristics, and a complete expression DNA. Use as a thinking advisor to analyze education choices, career planning, social mobility, and related topics from Zhang Xuefeng’s perspective. Trigger when the user mentions “from Zhang Xuefeng’s perspective,” “what would Zhang Xuefeng think,” “Zhang Xuefeng mode,” or “Xuefeng perspective.” Also trigger for requests such as “help me think about this from Zhang Xuefeng’s point of view,” “what would Zhang Xuefeng say,” or “switch to Zhang Xuefeng.”
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, and Socratic guided modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review.
Workspace Things: use ae-cli things to create, query, update and advance Things in an explicitly identified AgentSpace. Use proactively when the conversation includes assignments (who owns what), deliverables, a delivery cadence, to-dos, next steps, milestones or phased plans; an explicit request to create a Thing is not required.
Workspace Thing progress, daily reports and weekly reports: use ae-cli things to collect period facts for the current space, an assignee or an explicit set of Things, then summarize them with the current conversation model and disclose data limitations.
Manage AE AgentSpaces with ae-cli: resolve current workspace context, list or update workspace profiles, transfer files, configure Agent/MCP/Skill/knowledge-base capabilities, manage shared-space members, inspect activities, or scope automations and archived conversations. Use for the new Workspace product; legacy sandbox Workspace sync/model behavior is separate
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Unified management of email inboxes dedicated to Agents: lets Agents on platforms such as Claude Code and Codex send and receive email, tidy up inboxes and distribute tasks with one set of commands. Supports two backends, NetEase ClawEmail (claw.163.com) and Tencent Agent Mail (QQ Mail, agent.qq.com), switched via MAIL_PROVIDER. Use this skill when the user mentions sending or receiving email, checking an inbox, searching email, replying to or forwarding email, downloading attachments, tidying up email, assigning email tasks to other Agents, configuring an Agent mailbox, Tencent QQ Mail Agent, or NetEase ClawEmail.
Multi-agent deep research for comprehensive market analysis using the aipa CLI. Use this skill when the user asks for deep research, thorough market analysis, sector-wide investigation, comprehensive stock comparison, or detailed financial report. This runs a supervisor → parallel workers → aggregator → reviewer pipeline that takes longer but produces more thorough results than a simple analyze. Trigger for requests like "research banking sector", "deep dive into real estate stocks", or "comprehensive market overview". Can also incorporate fundamental analysis (PE, ROE, NPL, CAR, financial ratios) via `aipa fundamentals` when the user asks for fundamental context alongside technical research.
Use this skill to generate Anki flashcards in simple-anki-sync format for active memorization of any knowledge. Invoke whenever the user wants to memorize, make flashcards, create study cards, or turn knowledge into reviewable cards — including phrases like 生成 Anki 卡片, 做闪卡, 帮我记忆, "anki cards", "flashcards", "study cards", "memorize this". The skill applies LessWrong spaced-repetition best practices: atomic questions, standardized templates, appropriate detail levels. Not for general learning plans, summaries, or explanations — only for producing actual Anki-formatted cards ready for import.
Use this skill any time the user wants in-depth research or comprehensive analysis on any topic. This includes: industry analysis, competitive landscape mapping, market sizing, trend analysis, technology reviews, investment research, sector overviews, due diligence, benchmark studies, patent landscape analysis, regulatory analysis, and academic surveys. Also trigger when: user says 帮我调研一下, 深度分析, 行业研究, 市场规模分析, 竞争格局, 技术趋势, 做个研究报告. If deep research or comprehensive analysis is needed, use this skill.
Use when the user wants a cited, structured read of local documents and project knowledge. Triggers on: "analyze these docs", "scan my project for context", "read the docs folder", "summarize what's in .beagle/concepts/", "extract context from docs/", "what's in this folder", "go read everything in X and tell me what's there". Also invoked programmatically by other beagle skills (prfaq-beagle Ignition, brainstorm-beagle reference points, strategy-interview context grounding) via the companion contract. Does NOT trigger on codebase lookups ("find this function", "search the repo"), web research (use web-research), LLM-as-judge evaluation (use llm-judge), or document editing (use humanize-beagle). Produces a written scan plan, parallel-subagent findings, and a cited synthesis report on disk — never inline prose, never unsourced claims.
Discover and prioritize banking, fintech, and financial-services AI/ML/R&D use cases from vague business goals, stakeholder pain points, data assets, or operational bottlenecks. Use whenever the user works on banking problems such as credit risk, fraud, AML, collections, customer intelligence, personalization, document AI, compliance, branch/contact-center operations, treasury, or productivity and needs a structured map of feasible, high-impact, research-grounded opportunities.
Build the storyline and slide structure for a board presentation. Use when asked to create a board deck, board presentation narrative, board meeting slides, or quarterly board update. Produces a complete slide-by-slide structure with narrative beats, talking points, and slide content guidance.
Collect social media content (X/Twitter, WeChat, Jike, Reddit, etc.) into Feishu bitable. **Use this skill whenever the user shares a link from any social platform, sends a screenshot, or mentions "收藏", "保存", "collect", "save this article".** Even if they don't explicitly ask to collect, trigger this skill proactively.
Find prior LifeOS work — sessions, ISAs, conversations — by topic or date phrase; searches the work registry, titles, dir names, ISA bodies, and conversation logs, ranked by relevance. USE WHEN context search, prior work, browse sessions, recall, remember, previous sessions, context recovery, what did we do, find session, search history, what was that project, pick up where we left off, resume, look up old work, cold start, yesterday's work, last week, find that session, the one about. NOT FOR searching published content like blog posts/newsletters/tweets, or the typed-graph Knowledge Archive (use Knowledge).
Mine Gmail history into a local flat-file knowledge base (~/.cortex/). Use when asked to "run the cortex", "mine emails", "cortex run", "cortex dry run", "set up the cortex", "cortex from DATE", or "mine my inbox". Extracts contacts, clients, communications and knowledge facts into portable JSONL/JSON files. Requires gws CLI and ANTHROPIC_API_KEY.
Search and query your Knowledge Cortex (~/.cortex/). Use when asked to "cortex stats", "cortex search", "cortex client", "cortex contacts", "cortex export", "cortex prune", "search my knowledge base", or "what do I know about COMPANY". Queries portable JSONL/JSON files for contacts, clients, communications, and facts.
Daily news digest generator. Three-stage workflow: fetch metadata, generate summaries, output the digest. Triggered by: daily news, news digest, information monitoring, news aggregation, daily news, generate digest. Also used to add new sources (automatically analyzes the web page and generates a method file).
Proofread and improve English text written by the user before answering their actual question. Use this skill whenever the user's message contains English sentences or paragraphs — even mixed with Korean — and a substantive answer is expected. Trigger on any message where English prose is present: questions, requests, opinions, descriptions, or explanations written (fully or partly) in English. Do NOT skip proofreading just because the English looks mostly correct; always run the correction block first. Skip only for: single English words, proper nouns, code snippets, or messages written entirely in Korean with no English prose.
Chinese enterprise registration info lookup — queries the 接口盒子 API for company registration details (工商信息) by company name or Unified Social Credit Code (统一社会信用代码). Triggered whenever the user asks about a Chinese company: "查公司", "查企业", "企业信息", "工商信息", "查一下XX公司", "查XX的统一信用代码", "这家公司信息", "营业执照查询", "企业工商查询", "查一下这家公司", "看看这家企业", "this company info", or pastes a company name or credit code and asks to look it up. Supports both full company name and 18-digit Unified Social Credit Code.
Transform detailed product updates into concise executive briefings. Use when asked to write an executive update, leadership update, product update for the exec team, or a C-suite product briefing. Produces a structured 250-word briefing with headline, key metrics, progress, risks, decisions needed, and next steps.
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.