Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Full grouchygiraffe ingestion workflow — given a grouchygiraffe media file path, a loose image such as a pasted or screenshotted thumbnail, or a recipe URL (YouTube, Instagram, or any recipe page), identify the recipe, upload the thumbnail to Imgur where applicable, and write a cleaned recipe note to the vault.
Channel the grug brained developer to give practical, hard-won software wisdom in grug's distinctive voice. Trigger this skill whenever the user says "/grug", "/grugmode", "grug mode", "grug take", "what would grug say", "give me the grug perspective", or asks for a simple/pragmatic/no-nonsense take on a software problem. Also trigger when the user asks to "think like grug", "be grug", or references "grug brain" in any way. This skill applies to any software topic: architecture, testing, refactoring, APIs, tooling, type systems, abstractions, frameworks, complexity, career decisions, code review, debugging, frontend vs backend, etc. When in doubt and the user seems to want blunt cave-developer wisdom, use this skill.
Fast-track GTM value preview for new users. Runs gtm-analytics-audit and gtm-strategy back to back and outputs the top 5 tracking opportunities with business rationale and effort estimates. No implementation, no DOM changes. Just a clear answer to "what should I track and why". Trigger on - "quickstart", "what should I track", "show me tracking opportunities", "quick GTM overview", "I'm new to GTM", "where do I start".
Develop custom Home Assistant integrations, config flows, entities, and platforms. Use when working with manifest.json, custom components, config_flow.py, entity base classes, or device registry. Activates on keywords: integration, custom component, config flow, entity, platform, manifest.json, device_info.
Hike Capital file publishing CLI: turn local HTML pages (including images on the page) into publicly accessible URLs (h.hikecapital.com)—the goal is a public link, not a chat attachment. Use this skill to upload to h.hikecapital.com whenever the user wants to publish, launch, host, upload, or send an .html file; asks for “a clickable link” or “send me a URL”; or wants to share a webpage link with LPs or investors. Also covers three management operations: ① re-upload and overwrite an updated file (“the link must not change,” “upload it again”; overwriting a file with the same name keeps the URL unchanged, so existing links remain valid); ② list or query files they have published; ③ delete published files. Call it as usual even if public sharing has not been confirmed—the skill’s own workflow handles confirmation before publishing. Boundary: use lark-drive to send a file as an attachment to a Feishu group or person; do not use this skill just to create or edit HTML without a request for a public link (but if the generated HTML is to be published publicly, use this skill for the publishing step).
Queries Huawei Cloud Cloud Connect (CC) Global Connection Bandwidth (GCB) resources via hcloud CLI. Covers single GCB detail query (including bound instance info), GCB list query with filters, GCB tenant configuration query (size ranges, quotas, charge modes, supported services), and list of GCBs eligible for binding to a specific service type. No write operations. Use this skill when the user needs to inspect global connection bandwidth details, check GCB-bound instances, review GCB tenant configs and quotas, or find GCBs available for binding. Triggers include: 全域互联带宽, GCB, Global Connection Bandwidth, global-connection-bandwidth, 云连接带宽, CC带宽, bandwidth config, 绑定带宽, support binding bandwidth, gcb-query.
Rewrite AI-sounding text so it reads like the writer without changing what it says. Use when editing or reviewing prose for AI tells: not-X-but-Y contrasts, one-line closers, staged openers, forced triads, dashes everywhere, inflated claims, sales language, stock AI words, bold labels, or filler.
Expert guidance on Hummingbird 2 web framework. Use when developers mention: (1) Hummingbird, HB, or Hummingbird 2, (2) Swift web server or HTTP server, (3) server-side Swift routing or middleware, (4) building REST APIs in Swift, (5) RequestContext or ChildRequestContext, (6) HummingbirdAuth or authentication middleware, (7) HummingbirdWebSocket, (8) HummingbirdFluent or database integration, (9) ResponseGenerator or EditedResponse.
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
Hybrid app (native shell + WebView/WKWebView/Electron + H5) full-stack debugging methodology — forces analysis across four layers (web runtime, native-web bridge, native config, platform runtime) instead of stopping at a single layer, preventing whack-a-mole surface fixes. Use when debugging hybrid app UI/theme/behavior issues, especially platform discrepancies (one platform reproduces, the other does not), repeated single-end fix failures, or silent failures involving native-H5 communication, theme switching, or platform runtime behavior. Triggers — 「hybrid 调试」「跨端调试」「全链路调试」「平台差异调试」「WebView 问题」「WKWebView 问题」「native 和 H5 交互问题」「单端修复失败」「跨端主题问题」「跨端样式不一致」 / hybrid debug, cross-platform debug, webview issue, native-web bridge, full-stack debugging, RN/Electron debugging.
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
Report delta-adjusted notional exposure across all IBKR accounts. Calculates option deltas using Black-Scholes and reports long/short exposure by account and underlying. Use when user asks about delta exposure, portfolio risk, or directional exposure.
Research a company or idea, define the Ideal Customer Profile, and route to the right next step — either mapping the TAM or finding leads/prospects directly. The entry point for any "find me leads", "map my market", or "who should I sell to" request. Auto-loads when a user provides a company URL or idea and asks for leads or market mapping.
Guidance for establishing a Microsoft Purview Insider Risk Management (IRM) baseline - detecting and managing risky insider activity (data theft, leaks, policy violations) with privacy-by-design. Covers prerequisites, HR connector, policy templates, indicators, pseudonymisation, triage workflow, and Adaptive Protection integration. WHEN: Insider Risk Management, IRM, detect data theft by departing employee, insider threat, risky user activity, IRM policy templates, pseudonymization, Adaptive Protection, insider risk indicators, HR connector, departing user, separation of duties.
Find the root cause of a bug from a Jam (a jam.dev screen recording with the console, network and user actions attached), and fix it when the user asks. Without that ask it diagnoses only, with no code changes. Read the recording's diagnostics and visual evidence, then return a diagnosis with evidence. Use when the user pastes a jam.dev link or Jam id and asks to fix, debug, triage or investigate it, or asks what went wrong in a recording.
Turn a Jam (a jam.dev screen recording with the console, network and user actions attached) into steps and an end-to-end test in the project's own runner and language, with first-class guidance for Playwright and tester-army/e2e, grounded in the current code. A Jam of a flow or demo becomes a test that guards it; a Jam of a bug becomes a failing test the fix turns green. Use when the user pastes a jam.dev link and asks for an e2e test, a regression test, a repro, or to "write a test for this".
Generates Tzatziki-based Cucumber tests (Gherkin .feature files) from a functional specification. Use this skill whenever a user wants to write Cucumber tests, add BDD scenarios, create feature files, generate tests, or test application behaviors with Gherkin — especially in Java/Spring projects. Use this skill for tests involving HTTP, relational database (SQL), JPA, Kafka, MongoDB, OpenSearch, logging, or MCP. Also use when the user mentions writing integration tests, acceptance tests, or end-to-end tests.
Provides comprehensive guidance for Jenkins CI/CD including pipeline creation, job configuration, plugins, and automation. Use when the user asks about Jenkins, needs to set up CI/CD pipelines, configure Jenkins jobs, or automate build and deployment processes.
Turn the git commits for a Jira ticket into a short, business-friendly implementation report and save it as local markdown. Use when the user wants to report finished work on a Jira ticket: a Jira report, update, or comment, a summary of their commits or changes for the ticket, or a note telling PM/QA what shipped.
Fine-tune a Kev decision model (open Jev-style System One model) on a user's own workload and serve it with calibrated probabilities. Interviews the user, finds existing Jev/TypeSafe questions or labelled data in their codebase, generates enough synthetic training data to measure a gain, trains and calibrates on Modal, scores against the released checkpoint, deploys a TypeSafe-compatible endpoint, and tears everything down. Use when someone wants noul/choice/score questions answered on their own domain (routing, triage, moderation, classification, scoring), wants calibrated confidence for automation thresholds, mentions Jev, TypeSafe, System One or Kev, or asks to fine-tune, evaluate, deploy or clean up Kev.
Design a cross-channel product messaging system that drives activation, engagement, and retention while controlling fatigue. Use when planning lifecycle messaging, auditing notification strategy, prioritizing workflows, or turning product moments into Knock workflows, guides, preferences, and measurement.
[Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.
Conducting systematic, scoping, and narrative literature reviews. Covers PRISMA/PRISMA-ScR protocols, search strategy (Boolean, MeSH), database selection (PubMed, Scopus, Web of Science, Embase), screening, data extraction, evidence synthesis (narrative, meta-analysis, thematic), and reporting. Use when planning or executing a formal literature review.
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
Use when translating or localizing UI strings, marketing copy, documentation, or any source text into Turkish (Türkçe) for Turkey and Northern Cyprus. Turkic agglutinative, NO gender. The critical trap is dotted vs dotless i — İ/i and I/ı are separate phonemes; capitalization must preserve dot status (istanbul→İstanbul, ışık→IŞIK). Enforces two-dimensional vowel harmony, six-case suffixes, SOV order, siz/sen formality (siz default), singular noun after numbers (5 dosya), apostrophe before suffixes on proper nouns (Türkiye'de), sentence case not Title Case, TDK anti-anglicism (indirmek not downloadlamak), DD.MM.YYYY, and TRY ₺ (1.234,56).
Main routing skill for the lyt cross-border e-commerce series. Use when the user invokes /lyt, $lyt, Lyt, or asks about cross-border e-commerce, TikTok Shop, product selection from scratch, product validation, product title generation and optimization, product main image and detail page diagnosis, generating detail pages from product images, summarizing competitor/Top main image samples, reverse-engineering e-commerce reference image prompts and swapping in your own product, generating short video shooting scripts from existing products, follow-up questions on business problems, traffic logic, data analysis, systematic learning, or knowledge checks. First determine the business boundary and the task the user actually wants to complete, then route to lyt-product-selection, lyt-product-validation, lyt-product-title, lyt-page-diagnosis, lyt-detail-page, lyt-image-patterns, lyt-image-prompt, lyt-video-script, lyt-problem-clarifier, lyt-traffic-logic, lyt-data-analysis, lyt-learning or lyt-knowledge-check. Supports text, images/screenshots, CSV/XLSX spreadsheets, PDF/documents and backend exports; the attachment type only describes the input form and does not replace the user's intent.
Create, update, rename, delete, and organize Figma variables, collections, and modes — including fast batch create/update, setting scopes, code syntax, and adding theme modes. Use for incremental variable work: triggers 'create a variable', 'batch update variables', 'add a dark mode to my collection', 'rename this variable', 'set variable scopes', 'delete a variable/collection', 'add a mode'. Works on ANY Figma plan. For a from-scratch system use setup-design-tokens-figma; for code↔Figma sync use import-tokens-figma / export-tokens-figma.
Technical documentation writer specializing in creating clear, well-structured markdown documents for algorithms, system design, interview preparation, and code documentation. Use when writing README files, algorithm explanations, system design docs, or technical guides.
Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.
Build custom PCB structures with pcbComponent, shapes, Boolean ops, feeds, and multi-layer stackups for non-catalog geometries. TRIGGER: user asks to build, modify, or customize a pcbComponent — add/remove shapes, edit polygons, place feeds, add metal layers, cut slots, or create non-catalog RF structures. Also when modifying geometry of an existing catalog-designed component (e.g., adding pads, removing elements, editing vertices). Invoke BEFORE writing pcbComponent code — layer/shape/feed API is non-obvious. SKIP: designing catalog components like filters/couplers/txlines (use the specific matlab-design-pcb-* skill), material/stackup definition only (use matlab-manage-pcb-material), EM analysis (use matlab-analyze-em), importing PCB files (use matlab-read-pcb-layout).
Analyzes sensor configurations and creates inertial fusion filters in MATLAB Navigation Toolbox. Manages filter selection (imufilter, ahrsfilter, complementaryFilter, insfilterMARG, insfilterAsync, insfilterNonholonomic, insfilterErrorState, insEKF, insCF), construction, tuning, and fusion loops. Use when fusing IMU/AHRS/INS/GPS+IMU data, estimating orientation or pose, or choosing a filter. Do NOT use for vision-only SLAM, Simulink fusion, or IMU simulation.
Specialized agent for MedusaJS v2.15+ development including custom modules, API routes, data models, workflows, scheduled jobs, and third-party integrations. Provides expert guidance on commerce platform architecture and plugin development.
Get an independent verdict on an AI-proposed plan, fix, architecture, or claim by verifying its premises against the real artifact, then dispatching a panel of fresh models from different providers that answer independently. Use for "double check", "proof this", "are you sure", "second opinion", "am I right or is he right", "this still isn't working", or "not sure this is the right approach".
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.
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.