Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Agent-optimized CLI for Bluesky (ATProto) and X (Twitter). YAML in, YAML out, exit codes for automation. Use when the task involves posting, replying, reading feeds, searching, annotating URLs, or running a sync/check/dispatch agent loop across social platforms.
Use this skill when the user asks to review, audit, proofread, or produce a formal evaluation report for a degree thesis, dissertation, academic paper, or thesis PDF/DOCX, especially when they require checklist-based, line-by-line, evidence-grounded comments, PDF page locations, external fact verification, MinerU/VLM parsing, or a standardized Chinese 学位论文审阅报告.
Map a scoped topic across three coexisting horizons — current system under strain (H1), preferred future (H3), and transition innovations sorted as H2+ or H2- — to understand change dynamics and identify responsible next actions.
Review the week using accumulated session evidence — retrieval rates, hint depths, calibration accuracy, transfer and unassisted results. The learner identifies patterns and sets a strategy goal. Use weekly or after a multi-session period.
Adds Work IQ (M365 Copilot Search) to a Power Apps code app via the Work IQ Copilot MCP connector (shared_a365copilotchatmcp), then wires up a production-ready McpSession wrapper for AI-powered, knowledge-grounded search and chat. Use when integrating Microsoft 365 Copilot search/chat. The CopilotChat tool searches internal Microsoft 365 content (documents, emails, chats, sites, files) across your organization — prefer workload-specific tools (SharePoint, OneDrive, Teams, Mail) when the workload is explicit; do not use it for general knowledge, news, public web, or external information.
Baidu Netdisk file management — upload, download, save to your drive, share, search, move, copy, rename, and create folders. TRIGGER: the user mentions "百度网盘/bdpan/网盘/云盘/baidu drive" and file operations are involved. DO NOT TRIGGER: for non-file-storage operations, or when another cloud drive service is used.
Collaborative brainstorming partner for multi-session ideation projects. Use when the user wants to brainstorm, ideate, explore ideas, or think through problems—whether for SaaS products, software tools, book ideas, newsletter content, business strategies, or any creative/analytical challenge. Handles session continuity across days/weeks via versioned markdown documents. Includes brainstorming methods catalog and supports both connected (cross-project awareness) and clean-slate modes.
Use for any task requiring a real browser: viewing web pages, accessing login-gated sites, operating web UIs, scraping social media (Xiaohongshu/Weibo/Twitter/X, etc.), reading JS-rendered or dynamic pages, bypassing bot detection, form filling, e2e checks, and general web automation. Prefer this over WebFetch whenever the page needs JS execution, authenticated session, interaction, or stealth. Invoke via terminal CLI (`bridgic-browser ...`) or Python SDK (`from bridgic.browser.session import Browser`, `from bridgic.browser.tools import BrowserToolSetBuilder`). Also covers accessibility snapshot refs, CLI-SDK mapping/migration, and generating SDK code from CLI action steps.
Complete methodology for software and business requirements gathering. Use when you need to document a new project, validate a business idea, create technical specifications, or generate complete documentation covering business vision, stakeholders, processes, functional and non-functional requirements, data model, integrations, risks, and roadmap. Ideal for projects requiring quoting, development, delegation, or presentation to investors.
Create a JIRA ticket from user instructions via acli. Uses project from the current branch when possible, lists project epics, recommends the best epic, asks confirmation before creating, uses ADF descriptions, and can attach Figma designs via the Jira integration.
Use when looking for research topics a longitudinal cohort database can answer (NHIS, UK Biobank, an institutional EMR or registry). Profiles the cohort, matches PI expertise, scans literature saturation and returns ranked topic proposals with gap evidence.
Systematic first principles thinking for any problem domain. Use when the user says "analyze from first principles", "第一性原理", "从根本分析", "从零开始思考", "think from scratch", "question this design", "is this the right approach", "challenge assumptions", "挑战假设", "为什么要这样做", "有没有更好的方案", "why are we doing it this way", or needs to evaluate decisions, designs, or strategies without relying on analogies, conventions, or "best practices". Also triggers on "这个设计合理吗", "从本质上看", "回到基本面", "what's really true here", "what are we assuming", or any request to decompose a problem to its fundamentals.
Run the solution space in two modes — DIVERGE prepares the workshop (traceable How Might We, seed ideas sealed until the humans have ideated, a timeboxed agenda and the board written zone by zone) and CONVERGE reads what the team produced and voted and writes the Value Map plus the prototype brief. Manually triggered, sixth station of the discovery pipeline; it never picks the winning idea.
Run the socratic discovery interview that separates the symptom from the cause, grades the evidence, applies the metric gate and prioritizes up to three hypotheses, and write the Discovery Brief as dated research of the loaded product node. Manually triggered, first station of the discovery pipeline.
Renders ANY research paper (URL / arXiv ID / DOI / PDF / pasted text) into a visually engaging multi-format reading experience — with mind maps, method flowcharts, key-finding infographics, comparison tables, related-work timelines, and a plain-English layer alongside the technical content. Activates on slash commands (`/read-research-paper`, `/read-paper`, `/explain-paper`, `/visualize-paper`) and natural-language requests like "read this research paper [URL]", "explain this paper [URL]", "make this paper visual [URL]". Caches every fetched paper locally so re-asks are instant. Ships with a bundled corpus of canonical papers for offline fallback. Hands off to `research-paper` for citation reuse and to `get-research-paper` for related-work expansion. Runtime-neutral.
Agent-callable Telegram bot tools — send messages, media, locations, contacts, and polls; edit, delete, forward, copy, and pin messages; resolve chats, members, and files. Use when the user mentions Telegram or wants a bot to post, manage, or look up Telegram content — including requests that don't name Telegram explicitly, e.g. "message the team channel", "post this update to the group".
Exam cram coach. A student gives a course-materials folder (lecture PDF/PPTX/DOCX, notes, homework, answers, past papers), and it teaches chapter by chapter with source citations, crops and displays figures from the slides and questions, quizzes and grades only from the materials, keeps a mistake log and notes, plans the remaining days, builds a cheat sheet, and labels whether each statement comes from the materials. Triggers: final, midterm, exam, exam prep, revise, cram, practice questions, past papers, homework walkthrough, mistake log, key points, cheat sheet, study plan, postgraduate entrance exam, certification exam, lecture walkthrough, slides. Use when a student wants to prepare for a final, midterm or any exam from their own course files: teach chapter by chapter with page citations and the figures cropped from the materials, quiz only from the homework and past papers, keep progress, mistakes and notes across chats, plan the remaining days, build a cheat sheet, and label what comes from the materials. Triggers: exam prep, cram, revise, study for the test, lecture slides, homework solutions, past papers, practice questions, quiz me, mistake log, cheat sheet, study plan, study guide, flashcards.
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.
Look up official company data from European public registries across 11 countries/regions (CZ, SK, PL, DE, UK, NL, RO, HR, SE + EU-level + ESG). Covers company registration, ownership, financial filings, VAT status, ESG data. Use when the user asks to "look up a company", "check registry", "find company info", "look up IČO/KRS/LEI/CRN", "company due diligence", "check VAT status", "find ownership structure", or needs official data from European registries. Reads tracked companies from data/companies.json. Some lookups use Python scripts (stdlib), some fall back to Apify actors for scraping-based registries.
Apply to Hack the Andes for a human with the andes CLI, work through a challenge with them, check an existing application, or guide accepted-participant next steps. Use when a person wants an agent to apply, solve a Hack the Andes challenge, check status, understand requirements, reapply after rejection, confirm attendance, manage an event team, publish project updates, or submit and maintain the team project.
Manages Clockify time tracking via the official Clockify REST API (v1): list workspaces and projects, create time entries with correct UTC timestamps. Use when the user wants to log time, track hours, record work in Clockify, or mentions Clockify or time entries.
Automatically summarizes the day's top stories from multiple news sites, using browser automation to visit and read news content. Use for tasks such as when the user asks to "summarize today's news", "get today's headlines", or "generate a news summary", or asks questions like "what's important in the news today?" or "show me today's headlines on news sites". Supports Chinese news sites (Sina, NetEase, Tencent, etc.) and international news sites (BBC, Reuters, etc.), and produces a detailed Markdown-format summary report.
Use when looking for a meta-analysis topic before any protocol exists. Starts from a professor's publication profile or from a clinical question, finds gaps, assesses feasibility and returns a ranked topic list. Running the review itself is /meta-analysis.
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.
Interview the operator and write the strategic layer of a product — vision, problem, users, scope, competitors, opportunities, open questions, glossary — into the `context/` of its node in the brain, never into the body repo. Manually triggered, last link of the discovery pipeline and the gate before specs.
Adapts content for different audiences while preserving core accuracy, changing tone, depth, emphasis, and framing to match audience expertise and goals. Use when technical content needs business framing, strategic vision needs tactical translation, expert knowledge needs simplification, formal content needs casual tone, long-form needs summarization, internal content needs external framing, or cross-cultural adaptation is needed. Use when user mentions "explain to", "reframe for", "translate for [audience]", "adapt for [executives/engineers/customers]", or "same content, different audience".
Find out what's missing from your Gupy profile and get practical tips to increase visibility in job listings. Use to guide candidates on the Gupy portal with a profile checklist, diagnosis of experience and skills, an interview to write real results (without inventing data), keywords by area, and optional job reading via MCP. Trigger when asked to improve a Gupy resume/profile, complete registration, review after a PDF upload, fix generic descriptions, fill in skills, or explain how the AI ranks profiles — including without mentioning Gupy or checklist. Do not trigger for LinkedIn/ATS export, optimization for a specific job, standalone job search, spelling correction only, application steps, or interview preparation.
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.