Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Apply plugin knowledge base updates to an existing generated system. Consults the Ars Contexta research graph for methodology improvements, proposes skill upgrades with research justification. Never auto-implements. Triggers on "/upgrade", "upgrade skills", "check for improvements", "update methodology".
Researches Upwork job postings and freelancer profiles via the Crawlora API — search Upwork's public job listings by keyword, pull full detail on a specific job posting, or look up a freelancer's profile (rate, Job Success Score, ratings, feedback) — returning clean JSON. Use when the user wants to search Upwork jobs, read a specific Upwork job posting, or research an Upwork freelancer.
This skill should be used when the user wants to read, fetch, extract, or analyze the content of a web page from a URL. Use when the user provides a URL to access documentation, articles, blog posts, research papers, release notes, or any online content and needs clean, readable Markdown output without navigation clutter, advertisements, or boilerplate HTML.
Generate an interactive HTML diagram of the user's business systems, workflows, or tooling — showing how everything connects, where data flows, which AI agents / scheduled tasks run when, and how processes hang together. Use this whenever the user says 'visualize my workflow,' 'map my systems,' 'show me how this all connects,' 'business OS,' 'system diagram,' 'workflow map,' or wants to see the architecture of their work as a picture rather than a list. Output is a single self-contained HTML file with clickable nodes and progressive disclosure of detail.
For Chinese consultations related to "张老师", "张雪峰" or "升学": college application planning, academic advancement planning, major choice, school comparison, subject selection advice, and trade-offs between graduate exams and employment. Especially when the user wants a "张雪峰-style" conversation that is pragmatic, employment-oriented, and asks about the situation before giving advice. First collect province, score or ranking, subject choices, family constraints, city preferences and career goals, then give advice based on the latest rules and data; anything involving admission scores, enrollment policies, major restrictions or year-over-year changes must be verified online.
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆.
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.
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.
This skill should be used when the user asks about "citation styles", "APA format", "MLA format", "Chicago style", "Harvard referencing", "IEEE citation", "Vancouver style", "reference list", "bibliography", "in-text citations", "cite my sources", "act as a citation manager", "citation manager mode", "Zotero", "Mendeley", "EndNote", "reference management", "avoiding plagiarism", "paraphrasing", "citation ethics", "how to cite", "format my references", "DOI", "parenthetical citation", "footnote citation", "annotated bibliography", "citation generator", or needs expertise in academic citation formatting, reference management, and plagiarism avoidance. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
This skill should be used when the user asks about "research proposal", "grant application", "funding proposal", "grant writing", "research justification", "proposal writing", "act as a proposal writer", "proposal writer mode", "ethics application", "IRB application", "ethics committee", "research budget", "budget planning", "research timeline", "Gantt chart", "proposal defense", "dissertation proposal", "thesis proposal", "research design", "methodology section", "literature gap", "significance of the study", "research objectives", "hypothesis formulation", "funding agency", "project narrative", "specific aims", or needs expertise in writing research proposals, grant applications, and ethics submissions. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
End-to-end research workflow skill for investment analysts and policy researchers. Three scope modes the user picks at trigger time — light (4-5 page decision memo, ~15 min, 0 charts), medium (12-15 page topic brief, ~1 h, 6-10 charts), heavy (flagship report 30-40 pages / 15k+ words, ~2-3 h, 25-35+ charts, multi-stage workflow, multi-LLM, PDF + Word + WeChat + HTML derivations). Reports default to English; the AI replies in the user's chat language. Battle-tested on real macro/policy/equity reports (e.g. Saudi Vision 2030 deep-dive). Triggers when user types /analyst-research, /flagship-research, or describes needs like "research report", "topic analysis", "investment research", "做研报", "投研报告", "主题分析", "深度分析", "policy assessment", "industry deep-dive". Not for: pure news commentary (use topic-brief), slide decks (use deckster-slide-generator), one-shot Q&A.
Extract Bilibili videos and opus/article posts into readable Markdown knowledge notes. Use when the user asks to extract/refine/summarize/organize B 站 or bilibili video/image-text/dynamic/opus content, save a B 站 note to a local knowledge base, include useful comments, handle multi-part videos, fetch B 站 AI subtitles, download opus images, or fall back to audio transcription.
AI-optimized web search, image search and content extraction via BytePlus InfoQuest API. Use this skill when you need to gather concise and up-to-date information from the web, find images, or extract clean content from specific URLs.
Chat archiver. Triggers when the user says "archive", "archive conversation", "save this conversation" or "/chat-archiver". Reviews the current conversation, extracts valuable content, classifies it and stores it in the user's knowledge base. Supports both config mapping and auto-discovery modes.
Exam preparation guidance skill for China's national civil service exam (国考) and provincial civil service exams (省考), offering comprehensive guidance on strategies for 行测 (verbal, quantitative, judgment, data analysis, general knowledge) and 申论, study plan creation, current-affairs hotspot tracking, past-exam question analysis techniques, and structured interview simulations. Use cases: (1) the user asks about civil service exam information, (2) needs a study plan, (3) needs guidance for 行测/申论 focused training, (4) wants to learn about current-affairs hotspots and past exam questions, (5) is preparing for interviews and needs mock practice.
Use when a manuscript's claims need to be checked against the sources cited for them, when literature search results must be verified before they enter a draft, or when an agent or collaborator has proposed references that have not yet been adversarially reviewed. This is claim-to-evidence verification, not bibliography hygiene; for duplicate keys, DOI syntax, and metadata cleanup use citation-verifier instead.
Read, search, and manage Confluence Cloud pages, spaces, blog posts, comments, attachments, and labels. Use this whenever the user wants to find a page, read a doc, search the wiki with CQL, create or update a page, add a comment, list pages in a space, pull an attachment, or ask "what does the wiki say about X" — even if they don't say "API". Also use it for any *.atlassian.net/wiki URL, or a CQL string when the context is wiki content rather than tickets. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
Research a product idea before committing it to a CodeSpring build plan. Finds direct competitors, open-source projects, substitutes, and relevant platform capabilities; separates commodity features from a defensible wedge; then records an evidence-backed recommendation and creates only the scoped feature and tasks worth building. Use when the user asks whether an idea already exists, requests market or competitor research, asks what would make a product unique, or wants to validate an idea before creating a PRD or tasks.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.
Conduct exhaustive, citation-rich research on any topic using all available tools: web search, browser automation, documentation APIs, and codebase exploration. Use when asked to "research X", "find out about Y", "investigate Z", "deep dive into...", "what's the current state of...", "compare options for...", "fact-check this...", or any request requiring comprehensive, accurate information from multiple sources. Prioritizes accuracy over speed, cross-references claims across sources, identifies conflicts, and provides full citations. Outputs structured findings with confidence levels and source quality assessments.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs
Build an Energy Management Operating System Pack (energy drivers/drains map, calendar energy audit, zone-of-genius expansion plan, energy-aligned weekly schedule, recovery routines, and 2-week experiments). Use for sustainable leadership performance and burnout prevention. Category: Leadership.
Create cron jobs that reliably deliver reminders to Feishu (飞书) chats. Use when the user asks to set up scheduled reminders, periodic notifications, or any recurring task that should send messages to a Feishu conversation. Triggers: '飞书定时提醒', '定时任务发飞书', 'cron reminder to feishu', '每小时提醒', 'scheduled feishu message'.
Provides a structured framework for new-role transitions — accelerating credibility, avoiding the Savior Trap, and reaching the breakeven point where value contribution exceeds consumption. Use when starting a new job, joining a new team, or taking on expanded responsibilities.
Search, read, create, update, export, and share files in Google Drive. Use this whenever the user wants to find a file in Drive, read a Google Doc or Sheet, upload a file, move something into a folder, change sharing permissions, or asks "what's in my Drive" — even if they don't say "API". Also use it for any URL under drive.google.com or docs.google.com, or a mention of a Drive file ID. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
Monitors Hacker News for user-configured keywords, deduplicates against a local SQLite cache, and sends Slack alerts for new matching posts. Use when asked to monitor Hacker News for mentions, track keywords on HN, get alerts when something is posted about a topic on Hacker News, or set up HN keyword monitoring. Trigger when a user mentions Hacker News alerts, HN monitoring, keyword tracking on HN, or wants to know when a topic appears on Hacker News.
Write clear, welcoming handbooks and team documentation with conversational tone and logical flow. Eliminates corporate speak, uses real examples, and creates guides people actually want to read. Use when creating team guides, process docs, or onboarding materials. Triggers on "write handbook", "create team guide", "improve documentation".
Contextual guidance and command discovery. Three modes — narrative (first-time), contextual (mid-task), compact (quick reference). Shows available commands, active skills, and intelligent suggestions based on vault state. Triggers on "/help", "what can I do", "show commands", "how does this work".
Generate ICS calendar files (.ics) from natural language descriptions. Use when user wants to create calendar events, meetings, appointments, reminders, recurring events, or schedule items. Triggers on requests mentioning "calendar event", "ICS file", ".ics", "meeting invite", "appointment", "recurring event", "schedule", "RRULE", "reminder", "RSVP", "calendar invite", "block my calendar", or "add to calendar".
Reads yesterday's Linear issues and GitHub commits for the authenticated user, formats a standup update (done / doing / blockers), and posts it to Slack. Use when asked to write a standup, generate a standup update, post to the standup channel, summarize yesterday's work, or automate the daily standup. Trigger when a user says "write my standup", "post standup", "generate standup update", "what did I do yesterday", or "kill the standup".
Comprehensive Lark/Feishu API skill for OpenClaw agents. Covers all Lark operations via three access paths: claw-lark plugin (message tool), MCP tools (mcporter), and direct Open API (curl). Use when: (1) sending/receiving Lark messages, (2) managing groups or members, (3) listing department users or contacts, (4) creating calendar events, (5) working with docs/bitable/wiki/OKR/tasks, (6) setting up a new Lark bot, (7) debugging webhook/connection issues, (8) any Lark Open API operation the message tool or MCP doesn't support. Covers both Lark International (open.larksuite.com) and Feishu China (open.feishu.cn).
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.