Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Triggers on "learning exercise", "help me understand", "teach me", "why does this work", or after creating new files/modules. Do NOT use for urgent debugging, quick fixes, or when user says "just ship it".
Enforces a strict analysis_options.yaml built on very_good_analysis with strict-casts/strict-raw-types, a fixed set of silence-producing bug classes promoted to error (unawaited_futures, discarded_futures, empty_catches, use_build_context_synchronously, cancel_subscriptions, close_sinks, avoid_dynamic_calls, exhaustive_cases, avoid_print), dart format as the sole whitespace authority, generated-file excludes mirrored to coverage, and line-scoped-only suppression discipline; teaches the version-pinned-include trap (a missing include silently disables all rules), the errors-only-re-ranks-vs-linter-enables mechanic, and the sealed-switch analyze-vs-compile gap. Use when editing analysis_options.yaml, adding or disabling a lint, writing an `// ignore:`/`// ignore_for_file:`, bumping the Dart SDK or very_good_analysis version, wiring riverpod_lint, or explaining why discarded_futures, use_build_context_synchronously, close_sinks, or missing_provider_scope fires.
Personalisation and recommendation systems for a two-sided trust marketplace built on AWS Personalize — event tracking, dataset and schema design, two-sided matching, cold start, feedback loops, bias control, recipe selection, serving-time re-ranking, observability, and a diagnostic playbook for existing systems. Trigger when designing, building, debugging, reviewing, or improving such a system — and even when the user does not explicitly mention "AWS Personalize" but is working on recommendations, ranking, search, homepage personalisation, or anything that matches seekers and providers across a trust-based catalog.
Generates MSTest tests in C#. Microsoft's built-in testing framework for .NET. Use when user mentions "MSTest", "[TestMethod]", "[TestClass]", "Assert.AreEqual". Triggers on: "MSTest", "[TestMethod]", "[TestClass]", "Microsoft test framework".
Configure, explore, and optimize Nx monorepo workspaces. Use when setting up Nx, exploring workspace structure, configuring project boundaries, analyzing affected projects, optimizing build caching, or implementing CI/CD with affected commands. Keywords — nx, monorepo, workspace, projects, targets, affected. Do NOT use for running tasks (use nx-run-tasks) or code generation with generators (use nx-generate).
This skill should be used when the user asks to "migrate from Phaser 3", "upgrade to Phaser 4", "convert my v3 game", "Phaser 3 to 4 migration", "update Phaser version", "my Phaser 3 game broke after upgrading", "behavior changed after upgrading Phaser 4", "upgrade Phaser 4.0 to 4.2", or has code that uses deprecated or removed Phaser 3 APIs or behavior that silently drifted between Phaser 4 RC releases.
Track user metrics and provide data-driven insights for product decisions. Use when measuring product health, analyzing user behavior, conducting cohort analysis, or optimizing key metrics. Covers acquisition, engagement, retention, revenue metrics, and data-driven decision making.
Run a product multi-point inspection — assess a shipping product (app, website, or feature) as-built across 10 stations and produce a red/yellow/green inspection report with a prioritized work order. Use when the user asks to inspect, assess, audit, or health-check a product or experience, run the inspection or a specific station, or asks "why is my product's check engine light on?" Companion to ds-inspection — that one inspects the design system; this one inspects the products built with it.
Control which data each viewer sees in an embedded Domo dashboard/card via server-side programmatic filters and dataset switching. Covers the OAuth → embed token flow, standard filters, SQL filters (OR/BETWEEN/LIKE), per-dataset targeting, datasetRedirects for multi-tenant architectures, and token size limits. Use for any per-viewer, per-role, or per-tenant data restrictions at embed time. Not for client-side JS API filtering (use jsapi-filters).
Interact with QR Coin auctions on Base. Use when the user wants to participate in qrcoin.fun QR code auctions—check auction status, view current bids, create new bids, or contribute to existing bids. QR Coin lets you bid to display URLs on QR codes; the highest bidder's URL gets encoded
Modern React 19 platform features and rendering architecture — the React Compiler (auto-memoization) and how it changes memoization guidance, concurrent rendering (useTransition/useDeferredValue/Suspense), the use() hook, Actions (useActionState/useOptimistic/useFormStatus), ref-as-prop and Context-as-provider changes, compound components, context selectors, error boundaries, portals, virtualization, code-splitting, and the RSC/'use client' boundary.
Reads, searches and exports local Claude Code and Kimi CLI history without resuming work: timelines, verbatim user input, keyword or fuzzy recall, file recovery from transcripts, and which session ran a given command in a known time window. Use when the user asks what was said, wants a session ID or original context, needs proof of what a session contained, or needs past-session runtime evidence about commands, tool calls and hook runs — query this index instead of raw-scanning transcript files. Not for Codex (use read-codex-history); with no platform or several named, start at local-conversation-history.
Periodic customer refresh with re-verification of original due diligence to detect material changes and maintain compliance with ongoing due diligence requirements. Triggers include time-based review (annual HIGH risk, 2-3 year intervals for MEDIUM/LOW), risk-based escalation (score changes, business pivots), and event-based alerts (sanctions, adverse media, regulatory actions).
Playtest and QA Roblox experiences for mobile and tablet. Use for device simulator checks, touch controls, safe areas, thumb zones, text readability, orientation, HUD overlap, first-action friction, and mobile performance verification through Studio MCP.
Runs real-user QA, manual test plans, UX bug hunts, build sign-off, bug filing, and bug triage for web or iOS/iPadOS apps. Use when asked "QA this", "is this ready to ship?", or similar. Produces P0/P1/P2 bug reports, YES/NO phase sign-off, tracker sync guidance, and an HTML QA dashboard; keeps Interactive BRB triage in a separate session
Use when integrating a documented Runway Dev Recipe, choosing a prebuilt multi-step image or video workflow, or maintaining an existing Recipe call. Read the live Recipe guide for its current inputs, version, and SDK method. Use runway-dev-models for direct model endpoints
Find new job postings matching your profile via installed portal-search CLIs (LinkedIn, local job boards, and any skills added with /add-portal). Deduplicates across runs. Triggers on: job scrape, find jobs, search jobs, new jobs, job search, scrape jobs, /scrape
Knowledge base for the 28 ScraperAPI MCP tools. Covers scrape, Google (search, news, jobs, shopping, maps), Amazon (product, search, offers), Walmart (search, product, category, review), eBay (search, product), Redfin (for_sale, for_rent, search, agent), crawler tools, and the AI Parser (create, get_details, parse_url, list, update, delete) for reusable custom extraction. Provides tool selection, parameter optimization, credit cost guidance, and error recovery. Requires the ScraperAPI MCP server and a valid SCRAPERAPI_API_KEY. Trigger on: web scraping, scraping a URL, reading a webpage behind bot protection, Google search queries, current events and news lookup, job listings, product price comparison, shopping research, Amazon/Walmart/eBay product lookup or search, e-commerce data extraction, Redfin real estate listings, property search, rental search, site crawling, custom structured extraction, building a reusable parser, extracting fields from any site, SERP monitoring, SEO tracking, competitive intelligence, or market research. Note: Transmits user-supplied queries, URLs, and content to ScraperAPI.
Comprehensive AI-powered security scanning suite with 51 skills covering OWASP Top 10, 7 language-specific deep scanners (Go, TypeScript, Python, PHP, Rust, Java, C#), supply chain analysis, infrastructure-as-code scanning, and 3000+ checklist items. Use when you need to run a security audit, find vulnerabilities, scan a PR for security issues, or perform an authorized penetration test on a codebase. Full audits use evidence-led coverage tracking and independent candidate verification. In Claude Code, invoke it directly as /security-check to open the native audit setup menu.
A general-purpose self-media content production and operations workflow. Use for content creation, topic planning, trending-topic or competitor research, adapting content for multiple platforms, short-video scripts, digital-human videos, animated explainers, publishing videos across YouTube, Douyin, WeChat Channels, and Xiaohongshu, publishing packages, WeChat Official Account drafts, content analytics, weekly and monthly reviews, and continuing unfinished tasks. Identifies request types, invokes modules for creative briefs, content strategy, trends and competitors, platform copy, short videos and video production, video publishing, analytics reviews, and delivery archiving, while managing direction, title, final-copy approvals, and publishing authorization.
Emulated Slack API for local development and testing. Use when the user needs to interact with Slack API endpoints locally, test Slack integrations, emulate channels/messages/users/views, set up Slack OAuth flows, test incoming webhooks, or work with the Slack Web API without hitting the real Slack API. Triggers include "Slack API", "emulate Slack", "mock Slack", "test Slack OAuth", "Slack bot", "Slack views", "incoming webhook", "local Slack", or any task requiring a local Slack API
Background legal and regulatory context for the shinkoku tax filing plugin. Contains the standard disclaimer about the scope of tax information provided, the relationship to the Tax Accountant Act (税理士法), and tool limitations. This skill is not user-invocable — Claude loads it automatically when generating tax-related responses that require a disclaimer.
Expert-level software testing with unit tests, integration tests, E2E tests, TDD/BDD, and testing best practices. Use when the user mentions TDD, BDD, unit tests, integration tests, or end-to-end tests, or when the task involves Testing Fundamentals, Unit Testing, Integration Testing, or End-to-End Testing.
Edit arbitrary supplied video, audio, images, screen recordings, and graphics into a polished deliverable. Use for cutting and restructuring footage, multi-track compositing, picture-in-picture, transitions, captions, sound work, color and framing changes, screen demos, presenter edits, social clips, and motion graphics made with FFmpeg, HTML, React, SVG, or Remotion. Includes source inspection, timeline design, reusable media tooling, transparent overlay generation, fast review artifacts, deterministic rendering, and technical validation.
Web Animations API adapter patterns for HyperFrames. Use when authoring element.animate() motion, Animation currentTime seeking, document.getAnimations(), KeyframeEffect timing, fill modes, or native browser animations that must render deterministically in HyperFrames.
Fulfill user requests by calling the ZenTao RESTful API v2.0. Covers CRUD and status transitions across 20 modules, including project sets, products, projects, executions, requirements (Story/Epic/Requirement), Bugs, tasks, test cases, test plans, product plans, versions, releases, feedback, tickets, apps, users, and files. Use this skill for project management tasks such as asking about ZenTao, zentao, checking project progress, retrieving a Bug list, updating a requirement status, or creating a task.
This skill provides guidance for building workflow visualizations with Vercel AI Elements and React Flow. Use when implementing interactive node-based interfaces, workflow diagrams, or process flow visualizations in Next.js applications. Covers the Canvas, Node, Edge, Connection, Controls, Panel, and Toolbar components.
Generates executable quantitative strategy code for the akquant framework, covering data interfaces, event-driven execution, risk control, and optimization. Use when developing quantitative strategies, configuring backtesting environments, setting risk rules, optimizing parameters, implementing cross-sectional rotation strategies, or mentioning akquant.
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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.
