Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Read a book, article, transcript, or case study through the lens of a specific strategic problem you're facing. Produces an applied playbook that maps the source onto the problem and gives short/medium/long-term recommendations. NOT for general book summaries
Search Zhihu & the web, get trending topics, and read/publish on Zhihu (知乎) — search Zhihu content or the entire web via the official Developer Platform API, get hot topics (热榜), list published articles & answers with stats, inspect content, publish articles, and answer questions. Use when the user mentions 知乎 / Zhihu, 搜索知乎, 全网搜索, 热榜, "我的知乎文章/回答", reading stats, 发文, or 回答问题.
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.
Use for installing, upgrading, authenticating, and using Atlassian Command Line Interface (ACLI, `acli`) for Atlassian Cloud. Triggers include Jira CLI tasks (work items, projects, boards, sprints), Atlassian Admin CLI tasks (user/org admin via API key), Rovo Dev CLI usage, enabling shell completion, scripting/CI usage, and troubleshooting `acli` errors or trace IDs.
Expert in Confluence operations using Atlassian MCP. Use when the user says "search Confluence", "create a Confluence page", "update a page", "find documentation in Confluence", "list spaces", or "add a comment to a page". Do NOT use for Jira issues, general web search, or local file creation.
Writes, rewrites, and critiques messages, posts, review comments, tickets, PRDs, design docs, talk scripts, docs, READMEs, and copy as the user or their company, in a private profile's voice with machine tells stripped. Use when asked to "write this in my voice", "draft a Slack reply", "make this sound less like AI", "write the README", "critique my draft", or "write my Slack profile".
Build single-purpose, throwaway HTML editors for one specific piece of data — drag-and-drop boards, form-based config editors, side-by-side prompt tuners, dataset curators, annotation tools. Always end with a Submit button (calls `submitToClaude`) so the result can be sent back to the agent. Secret values (API keys, tokens, passwords) are never embedded verbatim — they are masked to references; the artifact and submit payload carry key names and masked previews only.
Teach a topic across many sessions, with one learning repo holding a folder per topic, lessons pitched at what you already know, and spaced retrieval that makes it stick. Use when the user says "explain how X works", "teach me X", "quiz me on what's due", "am I ready on X", "where am I with my learning", or runs "/tutorkit".
Use Naval Ravikant-style reframing, desire audits, specific knowledge, and leverage frameworks to clarify career, entrepreneurship, wealth, happiness, freedom, and life choices. Use to identify the wrong questions, conflicting desires, unique competitive advantages, AI replacement risks, dependence on permission, marginal costs, and directions for long-term compounding.
Use when an agent needs to call the Buildin API through the Buildin CLI, authenticate Buildin, upload a file, create or update a page, query a database, configure native relation/formula/rollup fields, search content, edit Markdown page content, or perform any task involving the `buildin` command.
Validate the accuracy, source quality, and formatting of all citations in research reports. Ensure every factual claim has a verifiable source and provide source-quality ratings. Use this skill before finalizing a research report, reviewing others’ research, or publishing or sharing research.
Verify a research claim or academic citation by tracing it through publication → methodology → raw data → independent replication. Routes through perplexity-research for the actual web lookup, then formats results as a citation-checked brain page. Use when a book/article/conversation cites a study and you want to confirm the claim is real, replicated, and accurately characterized.
Scan the agent-framework frontier over the past 30 days and compare overstack across 8 axes (frontier-gap-scan runbook) — invoke instantly, not as a cron job. Run 5 WebSearches, rate Ahead/Close/Behind, diff against the previous period, raise issues for new gaps or update existing ones, and update the report. Triggers: 'frontier scan', 'quét đối thủ', 'scout tuần', 'chúng ta thua gì', '/frontier-scan'.
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
Expert in building and selling Notion templates as a business—not just making templates, but building a sustainable digital product business. Covers template design, pricing, marketplaces, marketing, and scaling to real revenue. Use when: notion template, sell templates, digital product, notion business, gumroad
Synthesize user research into actionable insights using atomic research methods. Use when asked to synthesize research, organize user feedback, find patterns in interviews, summarize customer discovery, or turn raw notes into insights and recommendations.
Search patent images on the Eureka patent platform: upload an image URL to find similar design or utility model patents. Trigger this skill when the user mentions patent image search, search patent by image, design patent search, visual patent search, similar design patent, image similarity search, patent image matching, utility patent shape match, or Eureka image search. Also trigger it when the user wants to find similar design or utility model patents through an image, even without explicitly mentioning “Eureka” or “image search.”
Define the smallest viable experiment and MVP for a selected one-person company opportunity. Use when Codex needs to explain what MVP means when needed, verify prerequisites, ask one question at a time, present multiple MVP options, and write user-confirmed outputs into `opc-doc/`.
Orchestrate the full one-person company workflow across all OPC skills. Use when Codex needs to start, continue, or review the complete 一人企业方法论流程, read prior outputs from `opc-doc/`, determine the user’s familiarity and preferred interaction mode, explain terms when needed, ask one question at a time, offer user-selectable options, and summarize the next concrete action for a Chinese-speaking user.
A skill for building polished resumes through conversational interviews. Use when the user mentions “简历”, “resume”, “CV”, job hunting, looking for work, interviews, making or generating a resume, or wants to create a webpage showcasing their experience and skills. Supports HTML resume generation, A4 print layouts, and PDF export. Guides users through refining their resume step by step, covering everything from personal information to project experience.
Use this skill when analyzing Wispr Flow voice dictation history for self-reflection, work patterns, mental health insights, or productivity analytics, and when managing the Wispr Flow dictionary (adding terms, fixing mishears, exporting/importing, suggesting improvements). Triggered by requests like “/wispr-analytics”, “analyze my dictations”, “what did I dictate today”, “wispr reflection”, “add to wispr dictionary”, “improve dictation”, “wispr suggest”, “export wispr dictionary”, or any request to review voice dictation patterns or manage dictation quality
DEPRECATED — prefer the official zentao-cli (https://github.com/easysoft/zentao-cli) and its skills (https://github.com/easysoft/zentao-skills) for new setups. This skill still works for existing @leeguoo/zentao-mcp users and remains useful for its bug resolution stats command. Use the zentao CLI to query and operate ZenTao bugs, tasks, stories, todos, products, programs, projects, executions, plans, releases, test cases, test tasks, test suites, docs, users, departments, issues, and risks. Use when the user mentions 禅道 or ZenTao, wants bug/task/story/todo/project/test/doc lookups or updates, wants bug resolution rate stats or reports (bug 解决率统计/解决数量统计/bug statistics/bug report) by product or person, or needs login / whoami / self-test for a 禅道 instance. ZENTAO_URL usually includes /zentao
Read and manage Google Calendar events, agendas, free-busy status, and invitations via the Calendar v3 REST API. Use when the user mentions Google Calendar events, today's agenda, this week's meetings, finding conflicts, listing invitations, checking free time, or scheduling, rescheduling, or cancelling a meeting.
Document your business model on one page and systematically de-risk it. Master Ash Maurya’s adaptation of Business Model Canvas, optimized for startups and uncertainty. Use when: **Starting a new venture** to articulate and test your business model; **Preparing for customer discovery** to document hypotheses to validate; **Making pivot decisions** to compare alternative business models; **Investor conversations** to communicate your model concisely; **Aligning the team** to get everyone on the same page.
Lovrabet runtime CLI — an AI operations suite for business scenarios. Use the lovrabet command to manage app catalogs, business roles and permissions, user-level external accounts, Service Tree business commands, API documentation discovery, dataset queries, Instant API data operations, Custom SQL/Backend Function, Personal Backend Function, file uploads, OCR text and structured-field extraction for ticket-related business documents, approval tasks and processing, scheduled tasks, Skill, knowledge bases, and runtime app-config key status checks. Triggers: 云图, lovrabet, lovrabet-cli, business roles, role members, page permissions, menu permissions, dataset permissions, user-account bind, provider external account binding, DingTalk userId binding, service tree, business service tree, api-doc, dataset, data filter, file upload, file query-url, ocr recognize, OCR recognition, ticket text extraction, ticket field extraction, invoice recognition, receipt recognition, credential recognition, attachment upload, personal-bff, approval, approvals, pending tasks, approve, reject, transfer, schedule, scheduled tasks, cron, kb, skill, sql exec, bff exec, app-config, accessKey, compress, jq.
Use this skill when the user wants to read or search their Monologue notes through the Monologue Notes REST API. It covers authentication with the MONOLOGUE_API_KEY environment variable, safe token handling, listing notes, fetching a single note, pagination, filters, and error handling. The API is read-only and should be accessed with direct HTTP requests such as curl or any equivalent REST client.
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.
When the user provides a WeChat Official Account article link (URL containing mp.weixin.qq.com), this skill must be used to read the article. Do not use web_fetch, web_search, or any other method as a substitute. This skill uses a dedicated script to reliably retrieve and return structured results, including the title, publication time, author, and body.
Query patent bibliographic information from the Eureka patent database, including titles, abstracts, applicants, inventors, classification numbers, priority claims, and cited references. Trigger this skill when the user mentions patent bibliography, basic patent information, patent titles and abstracts, patent applicants or inventors, patent classifications, IPC or CPC classifications, patent agents, patent examiners, priority claims, cited references, related documents, estimated expiry, or Eureka patent data. Also trigger it when the user needs basic bibliographic information about a patent, such as its title, abstract, applicant, or classification number, even if they do not explicitly mention “Eureka” or “bibliography”.
Plan a user interview topic in PostHog — pick who to target (cohort, emails, or PostHog distinct IDs), draft what to ask about, and prepare the voice-agent context plus a question list. Use when the user asks to "talk to users", "check how users feel about X", "interview some customers", "set up a user interview", "run a user-research call", "find users to ask about Y", or otherwise wants qualitative feedback through a conversation. Walks the user through targeting (cohorts-list, persons-list, or accepting emails / distinct IDs directly), captures the topic, and prompts for agent context and questions before calling user-interview-topics-create. Cohort targeting is resolved to explicit emails/distinct_ids at create time — topics snapshot their audience and do not re-evaluate cohort membership later. Do NOT trigger when the user is uploading a recorded interview audio file (that's the separate UserInterview/transcript flow) or only browsing existing topics with user-interview-topics-list.
Educator peer review management for Canvas LMS. Tracks completion rates, analyzes comment quality, flags problematic reviews, sends targeted reminders, and generates instructor-ready reports. Trigger phrases include "peer review status", "how are peer reviews going", "who hasn't reviewed", "review quality", or any peer review follow-up task.
Problem-solving techniques and exam preparation assistance for civil service exams (national, provincial, and joint exams), covering aptitude tests and essay writing. Based on Huasheng Shisan’s publicly available teaching system, it covers data analysis (ABRX system, truncation and direct division, 415 fraction method, assumption allocation method), quantitative reasoning (work, travel, profit, permutations and combinations, inclusion-exclusion, optimization, age, geometry), verbal comprehension (context analysis for logical cloze, main idea in passage reading, sentence ordering), judgment and reasoning (pattern-based visual reasoning, element-based definition judgment, relationship levels in analogy reasoning, translation, strengthening, and weakening in logical reasoning), essay writing (single-part questions, comprehensive questions, official document questions, long essays), general knowledge, answer order and time allocation, and full-exam review. Trigger this skill when users mention terms such as “公考,” “国考,” “省考,” “行测,” “申论,” “花生十三,” or the listed question types and methods. Provides solution steps, mental math techniques, past-question examples, analysis of mistakes, and study plans.
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.