Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Send Feishu messages. Send messages (10 types, including text/post/interactive cards: text/post/image/file/audio/media/sticker/interactive/share_chat/share_user; system separators are not directly supported by the CLI and must be passed through with `feishu-cli api`), reply to messages, forward or merge-forward messages, mark messages as urgent, manage message bookmarks (flag add/list/cancel), and download message resources (images/files). Sending, replying, forwarding, and marking urgent default to App Token (Bot identity); message flag bookmarks require User Token (`im:feed.flag:read/write`); msg resource-download prefers User Token when logged in and falls back to App Token otherwise. Use when the user explicitly requests sending, replying to, forwarding, merge-forwarding, marking urgent, bookmarking, or downloading message images or files through Feishu IM/Bot messages. Use feishu-cli-mail for email; use the relevant skill for document comments or sharing permissions. Note: use the feishu-cli-chat skill for Reaction/Pin, getting message details, batch message retrieval, thread replies, message history, searching group chats, group chat management, and deleting messages (App Token by default for a Bot to retract its own messages; optional User Token lets an administrator retract others' messages). To send interactive cards, first use feishu-cli-card to build v2 JSON, then return to this skill and send with --msg-type interactive --content-file.
Interview the user relentlessly to expand context and surface intent, constraints, hidden assumptions, and unstated alternatives. Use whenever the user invokes `/grill-me`, says "grill me", "interview me", "pressure-test this", "help me think through", or whenever the user's first message is more decision than task — across coding, business, marketing, personal branding, SOPs, systems thinking, process design, and tough decisions.
Creates a structured competitive analysis comparing features, pricing, and positioning across 3-5 direct and indirect competitors, with a 2x2 map and actionable strategic recommendations. Use before entering a market, planning differentiation, or after losing deals. For market size rather than competitor positioning, use discover-market-sizing instead.
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.
How to work in a Knowledge Base project (the `knowledge-base` starter pack). Read when the project has the three-layer source-grounded layout — `external-sources/` → `research/` → `articles/` — or when asked how this project is organized. Carries the layer model, per-folder rules, status flows and log discipline so this guidance does NOT live inside template bodies or log.md. The three procedures live elsewhere: ingest in the platform `open-knowledge` skill, research and consolidate as their own sibling skills in this pack. Complements the platform `open-knowledge` skill; does not replace it.
Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.
Finds industry event and conference coverage on Google using apidojo's Google Search scraper. Triggers when the user asks to: find coverage of an industry conference or event on Google, track press coverage of a trade show or summit, research what was announced at a conference, find news and recaps of an industry event, discover what happened at a recent trade show, find speaker quotes or session summaries from a conference, or compile event coverage for competitive intelligence. Returns article list with title, publication, date, coverage type, and key announcement signals. Ideal for industry analysts, competitive intelligence teams, PR professionals, and event marketers
GitHub Trending exploration and analysis. Use it to discover popular open source projects, technology trends and developer preferences, and to understand what the tech community is interested in. Use cases include "See what's hot on GitHub today", "Popular Rust projects recently", "Daily trend report for the AI field", "Are there open source projects worth watching in this area", "Do a GitHub trending analysis for me".
Investigate a topic against preserved sources and write a draft-status research article under `research/` in a Knowledge Base project (the `knowledge-base` starter pack). Read when asked to research a topic, compare options, synthesize sources, gather evidence, or extend an existing research doc. Carries the full procedure: scan existing coverage, agree a research rubric, capture every source verbatim before analyzing, write the article incrementally so a crash never loses work, cite every claim, and link it back into the graph. Does not promote findings to canonical knowledge — that is the sibling `consolidate-notes` skill, after a decision lands.
End-to-end patent campaign from any raw material ("here is some information; make a patent") to a filing-ready provisional package — invention mining, worth-it economics (design-around cost, detectability), exhaustive adversarial prior art, claims-first drafting, machine-verified compliance, hostile-examiner attack pass and an honest no-go when nothing clears the bar or the fence is not worth the money.
Promote existing research into a stable-status canonical article under `articles/` in a Knowledge Base project (the `knowledge-base` starter pack). Read when a decision has actually been made and the team wants the source-of-truth written down, or when asked to consolidate, canonicalize, promote research, or supersede an older article. Carries the decision-confirmation gate, the `supersedes:` chain that keeps the evidence trail intact, and the canonical voice. Does not conduct new research — that is the sibling `research-with-sources` skill.
Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features. Use when setting up or configuring Jira projects, writing JQL and advanced searches, creating dashboards, designing workflows, or performing technical Jira operations.
Use when the spoken content of a YouTube video is needed — even if not explicitly requested: pasted video links or IDs, requests to summarize, quote, transcribe, translate, fact-check, or extract anything from a video. Also use for research or learning when a video is the source. Not for uploads or account management.
Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation. Use after Level 1 structural validation passes, when an ARA needs an objective epistemic critique before publication or release.
Extracts slang definitions, cultural terms, and crowd-sourced meanings from Urban Dictionary using apidojo's Urban Dictionary Scraper on Apify. Triggers when the user asks to: look up internet slang terms, find how Gen Z or millennials define a word, research cultural vocabulary or meme terminology, understand what a term means on social media, analyze slang used in brand monitoring, find crowd-sourced definitions for multiple keywords, or track how language is evolving around a topic or brand name. Returns word, definition, usage example, author, upvotes, downvotes, and date. Ideal for brand researchers, social media analysts, content teams, and cultural marketers.
Defines a testable hypothesis with clear success metrics and a validation approach. Use when forming assumptions to test or aligning a team on what success looks like, before any experiment is designed. To design the A/B test or experiment that will validate the hypothesis, use measure-experiment-design.
Use when subtitles or the spoken text of a YouTube video is needed: pasted video links or IDs, requests to translate a video, read along, follow foreign-language content, or extract what was said. Also use for language learning or accessibility. Fetches timestamped subtitles from any YouTube video. Not for uploading subtitles or account management.
Use this skill whenever the user wants to operate Google Workspace from the command line with gog/gogcli, including Gmail, Calendar, Drive, Docs, Sheets, Slides, Forms, Apps Script, Chat, Classroom, Contacts, Tasks, People, Groups, Admin, Keep, auth, configuration, scripting, or agent-safe Google automation. Prefer this skill for Google account/file/mail/calendar work when the user mentions gog, gogcli, Google CLI, Gmail search/send, Calendar events, Drive files, Docs/Sheets/Slides editing, Forms, Apps Script, Workspace admin, or command-line Google automation.
Extract factual claims from PR copy, verify each claim independently, attach concrete citations, and warn when certainty is low. Runs each claim through proven newsroom verification methods (lateral reading, source-tier climbing, provenance pillars, triangulation, calibrated rating) and puts the burden of proof on the speaker. Use before a pitch, press release, reactive comment, DM, or other journalist-facing draft is trusted or sent.
Sweep configured feedback sources (Slack, GitHub Issues; email experimental) for new items: acknowledge at source, analyze recordings, verify fixes merged to main, and emit an `lfg`-ready plan. First run sets up sources; supports mode:non-interactive for scheduled runs.
Use when the user wants to build or tailor a resume, detailed interview resume, career master run, career coach, interview coach, career knowledge vault, Obsidian/LLM wiki, professional DOCX template, visual HTML/PDF resume, Canva-ready or Figma-ready resume, ATS/recruiter scorecard, cover letter, LinkedIn recommendations, interview prep, project interview briefs, technical-stack guide, job match scoring, redaction review, or career evidence summary from LinkedIn content, local project docs, Confluence, Jira, public GitHub, GitHub Enterprise, open-source work, profile pictures, or job postings. Trigger for resume drafting, tailoring, full career timeline, roles and responsibilities, impact metrics, ATS checks, keyword matching, DOCX generation, visual design tools, Canva/Figma handoff, browser/PDF rendering, project evidence extraction, recursive workspace analysis, durable career memory, tool auditing, job search, and interview prep.
Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring. Use when a user needs help with project plans, project status reports, risk assessments, resource allocation, project roadmaps, milestone tracking, team capacity planning, portfolio health reviews, program management, or executive-level project reporting — especially for enterprise-scale initiatives with multiple workstreams, complex dependencies, or multi-million dollar budgets.
Compiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact (ARA) with cognitive layer (claims, concepts, heuristics), physical layer (configs, code stubs), exploration graph, and grounded evidence. Use when ingesting a paper or codebase into a structured, machine-executable knowledge package, building an ARA from scratch, or converting research outputs into a falsifiable, agent-traversable form.
Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.
Creates a cross-functional pre-launch checklist covering engineering, design, marketing, support, legal, and operations readiness, with owners, dates, and go/no-go criteria so nothing is missed before release. Use for significant or cross-team launches, not a small single-team change. For the customer-facing announcement of what shipped, use deliver-release-notes instead.
Look up startups across SEC Form D, GitHub, Hacker News, Companies House, YC, and Wikidata in one command — including the SEC fundraising data hidden behind paid Crunchbase tiers. Trigger phrases: `look up this startup`, `research <company>`, `what does <company> do`, `form D for <company>`, `is <company> still active`, `compare <a> and <b>`, `use company-goat`, `run company-goat-pp-cli`.
Tracks startup founders and their activity on Twitter using apidojo's Twitter scrapers. Triggers when the user asks to: track startup founders on Twitter, find startup CEOs or co-founders to follow in a sector, discover early-stage founders building in a niche on X, identify founders of recently funded startups on Twitter, find tech founders for partnership outreach, monitor what startup founders are building in a vertical, or build a founder watchlist for a specific industry. Returns founder handle, company, stage, follower count, recent topics, and build-in-public signals. Ideal for VCs, accelerators, partnerships teams, and startup ecosystem researchers.
Search Feishu cloud docs, messages, and apps. Use when the user asks to "search docs", "search messages", "search apps", "find a doc", "search docs", "look up Feishu docs", or "are there any Feishu docs about X". Also applies when the user wants to find Feishu docs or a Wiki on a topic, search message records by keyword, or locate internal apps. The search API must use a User Access Token; this skill includes the full pre-authentication check process.
Creates a concise one-page solution overview that communicates the proposed approach, key decisions, and trade-offs. Use when pitching solutions to stakeholders, aligning teams on approach, or documenting solution intent before detailed specification.
Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery. Use when structuring scattered feature ideas or communicating how the roadmap traces to outcomes. For ranking an existing flat list of candidates, use define-prioritization-framework instead; this skill discovers the list, it does not score one
Atlassian Confluence expert for creating and managing spaces, knowledge bases, and documentation. Configures space permissions and hierarchies, creates page templates with macros, sets up documentation taxonomies, designs page layouts, and manages content governance. Use when users need to build or restructure a Confluence space, design page hierarchies with permission structures, author or standardise documentation templates, embed Jira reports in pages, run knowledge base audits, or establish documentation standards and collaborative workflows.
Use when YouTube data is needed without Google API quotas or OAuth setup: transcripts, video metadata, channel info, search results, playlists. Triggers on pasted YouTube links, creator names, @handles, topic research, video summaries, channel browsing, or any request where YouTube content would help — even if not mentioned explicitly. Not for uploads, account management, or written-source-only research.
Synthesizes user research interviews into actionable insights, patterns, and recommendations. Use after conducting user interviews, customer calls, or usability sessions to extract and communicate findings across participants. Distinct from foundation-meeting-recap, which summarizes one internal meeting for its attendees; this skill aggregates research conversations into evidence-backed findings.
Monitors tech acquisition news and M&A activity using apidojo's Google Search scraper. Triggers when the user asks to: track tech acquisition news, monitor M&A activity in a sector on Google, find recent tech company acquisitions, track acquisition announcements in a technology category, monitor who is being acquired in a startup ecosystem, find companies that were recently acquired or merged, or research M&A trends in an industry. Returns acquisition announcements, acquirer and target company, deal size signals, and strategic rationale. Ideal for M&A analysts, startup founders, investors, and competitive intelligence teams.
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.