Skills
98,284 packaged capabilities and playbooks for agents. Install any of them with one command.
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Build a cursor trail whose spacing stays constant at any hand speed, by emitting motes per unit of distance travelled rather than on a timer, so a flick draws the same continuous ribbon as a crawl instead of breaking into scattered dots. Covers sub-segment placement, the ring-buffer ordering trap, the idle breath a distance emitter needs, anchoring the trail to the screen in a 3-D scene, scaling scatter against the plane it hangs on, coasting instead of stopping dead, touch and reduced-motion fallbacks, and why moving the emitter to a DOM overlay to raise its z-index costs more than it buys. Use for cursor wisps, pointer sparks, embers, magic trails, comet tails, plankton, dust, or any mote trail that must stay legible however fast the hand moves
Use AI to write NEW test code from specs, PRDs, user stories, code diffs, bug reports, or OpenAPI specs. Staged pipeline: requirements extraction → risk analysis → coverage matrix → scenario generation → oracle design → test code → human review, with guardrails against hallucinated APIs and weak assertions. Use when: "generate tests from spec," "tests from PRD," "tests from user story," "auto-generate test cases," "AI write tests for me." Not for: testing AI/LLM features in your product — use ai-system-testing. Not for: auditing a pre-existing test suite you did not just generate — use ai-qa-review (Step 7 here only reviews tests THIS pipeline produced). Related: playwright-automation, unit-testing, api-testing, qa-project-context
Video and audio processing with FFmpeg. Use for format conversion, resizing, compression, audio extraction, and preparing assets for Remotion. Triggers include converting GIF to MP4, resizing video, extracting audio, compressing files, or any media transformation task.
When the user wants to optimize for AI search visibility (ChatGPT, Claude, Perplexity, AI Overviews). Also use when the user mentions “GEO,” “AEO,” “generative engine optimization,” “AI search visibility,” “LLM optimization,” “GitHub GEO,” “Grokipedia,” “optimize for ChatGPT,” “AI Overviews,” “Bing Copilot,” “Yandex AI,” “Perplexity optimization,” “GEO strategy,” or “AI search optimization.” For third-party publishing strategy (which platforms to use), use parasite-seo. For GitHub repos, README, and Awesome lists, use github. For Medium.com only, use medium-posts. For Grokipedia edits, use grokipedia-recommendations. For traditional Google SERP strategy, use seo-strategy.
Read the live cycle state and return the single highest-leverage next best action, not a menu. Use when a project is between phases, the author asks what to do next, too many valid threads are open, or the work needs re-entry into frame, build, drive, re0-memo, hate, re0-work, or ship.
This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.
Polymarket sports prediction markets — read-only live odds, prices, order books, events, series, and market search. No auth required. Covers NFL, NBA, MLB, football (EPL, UCL, La Liga), tennis, cricket, MMA, esports. Supports moneyline, spreads, totals, and player props. Use when: user asks about sports betting odds, prediction markets, win probabilities, market sentiment, or “who is favored to win” questions and only needs read-only market intelligence. Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill. Don't use for historical match data. Don't use for news — use sports-news instead. Don't use for placing, cancelling, or managing orders — use the separate polymarket-trading skill only after explicit user approval.
Advanced Compose Multiplatform UI patterns for shared composables. Use when working with visual UI components, state management patterns (remember, derivedStateOf, produceState), recomposition optimization (@Stable/@Immutable visual usage), Material3 theming, custom ImageVector icons, or determining whether to share UI in commonMain vs keep platform-specific. Delegates platform entry points (Activity, Window, tray) to android-expert/desktop-expert; the navigation shell itself is shared UI. Complements kotlin-expert (handles Kotlin language aspects of state/annotations).
Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations
Query Cloud Trace spans, filter by latency thresholds or error status, correlate distributed traces with Cloud Logging, and diagnose latency bottlenecks across Google Cloud services. Use when investigating slow requests, analyzing trace hierarchies, or resolving latency regressions. Do NOT use for querying non-GCP telemetry or database query optimization outside Cloud Trace
ANALYSIS SKILL — Observe Aspire apps: logs, traces, metrics, resource state, telemetry export, browser telemetry, and the standalone dashboard. Routes between local Aspire CLI, AKS workload diagnostics, and deployed Azure resource health. USE FOR: aspire logs, aspire otel logs, aspire otel traces, aspire otel spans, aspire describe, aspire ps, aspire export, aspire dashboard run, describe --include-hidden, browser logs in dashboard, DevTunnel URLs, WithBrowserLogs, App Insights query, AKS pod logs, container app logs. DO NOT USE FOR: start/stop/wait (use aspire-orchestration), deploy/publish/destroy (use aspire-deployment), AppHost code edits like WithBrowserLogs() (use aspireify), Azure provisioning (use azure-prepare), terminal authoring/input/tapes (use aspire-terminals). INVOKES: aspire CLI, azure-diagnostics (deployed Azure), kubectl + Container Insights. FOR SINGLE OPERATIONS: Run the aspire CLI command directly for quick log or describe lookups.
Build falling leaves that read as leaves, with each one tumbling on its own axis so it presents a face, thins to an edge, and opens out again, and with its sideways slip driven by that same tumble. Covers the 2-D canvas build and the instanced-3-D variant, where leaves are recycled from, density-versus-count maths, depth layering, colour under a tone-mapped composite, reduced motion, and visibility pausing. Use for autumn maple, sakura petals, blossom, ash, snowfall shapes, or any drifting foliage where a generic particle field reads as confetti
Use when capturing or analyzing an iOS .memgraph, especially when the task mentions a memory leak, heap growth, persistent memory increase, ownership path, or matched-capture comparison with Apple CLI tools. Covers unambiguous Simulator capture, leaks/heap/vmmap/malloc_history evidence, raw artifact preservation, and same-flow verification. Use debugging-instruments for interactive Xcode Memory Graph, Instruments, generic retain-cycle inspection, or LLDB work
Fixes notch, Dynamic Island, home indicator, display cutout, and system bar overlap in Capacitor apps. Covers `viewport-fit=cover` + `env(safe-area-inset-*)`, the Capacitor 8 SystemBars core plugin (`insetsHandling`, injected `--safe-area-inset-*` CSS variables for Android WebView < 140, removal of `android.adjustMarginsForEdgeToEdge`), Android 15/16 enforced edge-to-edge (`overlaysWebView` and `backgroundColor` of @capacitor/status-bar no longer work at targetSdk 36), iOS `contentInset`, and insets that change at runtime on rotation, iPad/foldable resizable windows. Use when headers sit under the status bar, tab bars hide behind the gesture bar, `env()` returns 0 on Android, or layout broke after upgrading to Capacitor 8 / targetSdk 35+. Do not use for keyboard overlap (capacitor-keyboard), Ionic/Konsta component theming (ionic-design, konsta-ui), Tailwind utility setup (tailwind-capacitor), or iOS multi-window/resizability adoption (capacitor-ios-resizability).
Apply Traceknot's ISTQB-aligned, evidence-bound QA process to repository changes across OMP, Codex, GajaeCode, Claude Code, and OpenCode, including session-scoped QA Board publication. Use for implementation verification, bug fixes, release checks, repository audits, defect confirmation, and residual-risk decisions without treating an agent's own completion claim as proof.
Design, implement, backfill, audit, and release in-game changelogs with contiguous versioning, deployment provenance, menu-state navigation, accessible toggle, close, and Escape behavior, and responsive release-ledger UI. Use when Codex needs to add or revise a changelog or version screen in a game, reconstruct release history from deployments and Git, define version-bump rules, keep displayed versions synchronized with live builds, or test changelog mechanics across desktop and mobile.
Testing guide for Capacitor apps and plugins. Covers web-layer unit and component tests with Vitest and mocked Capacitor plugins (`vi.mock('@capacitor/core')`, `registerPlugin`), Playwright for the web build, Appium E2E with NATIVE_APP / WEBVIEW context switching, native plugin unit tests with Swift Testing vs XCTest (what can migrate, `CAPPluginCall` patterns, `xcodebuild test` on a simulator) and Android JUnit, plus an agent-driven verification loop on simulators and devices (build, install, launch, screenshot, UI hierarchy, tap, logs) with `xcrun simctl`, `xcrun devicectl`, `adb`, Xcode MCP device tools, and live reload via `npx cap run --url` (Capacitor 9) or `-l --host --port` (Capacitor 8). Use when adding tests, mocking plugins, asking “does it work on device,” verifying a UI change on a simulator, migrating XCTest to Swift Testing, or setting up test CI. Do not use for crash log capture (ios-android-logs), WebView debugging sessions (debugging-capacitor), or build pipelines (capacitor-ci-cd).
UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local data: 79 searchable styles (50 active), 192 product palettes and reasoning profiles, 74 font pairings, 119 UX guidelines, 105 icons, 17 GSAP presets, 25 chart types, and 22 stacks
Use when work involves Apple's system surfaces rather than your own UI or data — Siri and Shortcuts, widgets, Live Activities, in-app purchase, localization, privacy prompts, alarms, timers, calendar, reminders, contacts, SharePlay, VoIP and CallKit, accessory pairing, weather, Spotlight indexing, background tasks, Background Assets, push notifications, or push notifications on networks with no internet.
Creates and manages isolated cloud sandboxes (secure code execution environments with dedicated runtimes) on the Daytona platform. Use when a task needs an isolated runtime, sandbox, secure compute, or Daytona SDK/API/CLI operations. Covers Python, TypeScript, Java, Go, and Ruby SDKs
Reverse engineer the defensive implementation, then conduct targeted red-team bypasses. First reverse engineer EDR / Defender / AV hook tables, ETW providers, and AMSI implementations, then write targeted unhooking, indirect syscall, ETW patching, and call stack spoofing techniques. Compare against MITRE ATT&CK T1562 defense evasion. Trigger keywords: EDR bypass, AV bypass, antivirus evasion, unhook, direct syscall, indirect syscall, Hell's Gate, Halo's Gate, Tartarus Gate, ETW patch, AMSI patch, call stack spoofing, hardware breakpoint Blindside, MITRE T1562, ntdll unhook, kernel callback, CrowdStrike bypass, Defender bypass, Sentinel One bypass, Elastic Defend, Sysmon evasion, PPID spoof, Sleep mask, Process Hollowing, Reflective DLL.
Implement, tune, debug, or validate soft wall-aware fog of war and gameplay perception in Three.js action games. Use for orthographic or isometric visibility masks, obstacle-aware line of sight, player and enemy vision ranges, hidden-enemy targeting rules, fog shader artifacts such as spokes or seams, mobile ray budgets, lifecycle and menu-state integration, and deterministic fog-of-war tests.
NeoData Financial Search — a general-purpose financial data search service using natural language. Query a wide range of financial data, including stocks, funds, indices, sectors, macroeconomics, foreign exchange, and commodities, as well as market quotes, financial statements, fund flows, research ratings, and event announcements. Supports retrieval from both structured API data and financial articles, with immediate answers. Use when the user asks about financial data, stock quotes, financial statements, earnings reports, market data, fund info, macroeconomics, forex, commodities, or needs to query the NeoData API.
Start or reuse the CAD Explorer viewer, return review links, and create saved snapshots for explicit CAD and robot-description files. Use when rendering or visually reviewing `.step`, `.stp`, `.glb`, `.stl`, `.3mf`, `.dxf`, `.urdf`, `.srdf`, or `.sdf` files, especially when handed off from CAD, URDF, SRDF, or SDF generation skills.
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
Build truthful Vesperfall asset-library review pairs from transparent PNG references and live Three.js, FBX, or img2threejs models. Use when adding a character, enemy, prop, or equipment asset to the Vesperfall catalog; creating a card-PNG plus inspector-model treatment; exposing an isolated model or moveset route; or standardizing provenance, grounding, tests, and Codex-browser validation for game art review.
Amazon A+ Content strategy and creation. Module layouts, persuasive copy, comparison charts, image briefs, and conversion optimization. Use when the user asks about A+ Content, Enhanced Brand Content, product storytelling, or Amazon listing enhancement.
Use when the user asks to “generate an SEO report”, “出月报”, “set SEO alerts”, or “排名掉了提醒我”; two modes—report builds multi-metric traffic/ranking/authority/content dashboards, and alert configures threshold notifications for future ranking, traffic, technical, backlink, competitor, and AI-visibility changes. Not for raw position-by-position deltas—use rank-tracker. SEO报告/绩效仪表盘/SEO预警/排名监控
Carve guardrail-adjacent items out of scope with safe alternatives before risk-adjacent work starts, then run the safe remainder at full strength in a fresh subagent that only ever sees the carved prompt, never the risky input. Use when a task includes stealth, scraping, privacy, IP, policy, licensing, security, or other safety-adjacent material that could be silently dropped, over-elaborated, or needlessly diluted. Fires on the impulse, not only the topic: the moment you notice yourself about to hedge, soften, silently skip, or brace for a refusal, carve before you execute.
Use this skill to get documentation for third-party APIs, SDKs or libraries before writing code that uses them to ensure you have the latest, most accurate documentation. This is a better way to find documentation than doing web search. This includes when a user asks for tasks like "use the OpenAI API", "call the Stripe API", "use the Anthropic SDK", "query Pinecone", or any other time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on your pre-trained knowledge, which may be outdated because of recent changes to these APIs. Be sure to use this skill when the user asks for the latest docs, latest API behavior, or explicitly mentions chub or Context Hub. Ensure `chub` is available, run `chub --help`, then follow the instructions there.
Use this skill when users want to add, customize, or troubleshoot Magic UI components in React/Next.js projects. It covers component selection, shadcn registry installation (`@magicui/*`), integration patterns, and practical quality checks for accessibility and maintainability.
Aggregates PayPal disputes, HubSpot feedback and tickets, and email sentiment (plus pasted or exported Google/Yelp reviews) into a themes report with verbatim evidence and a "do these three things this week" list. Use when the user asks how customers are feeling, for review analysis, what people are saying, or about disputes.
Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from customer feedback. Turn reviews into actionable product development and marketing strategies. Use when the user asks about review analysis, customer feedback, product complaints, sentiment analysis, or what customers think about products
Generate AI voiceovers, sound effects, and music using ElevenLabs APIs. Use when creating audio content for videos, podcasts, or games. Triggers include generating voiceovers, narration, dialogue, sound effects from descriptions, background music, soundtrack generation, voice cloning, or any audio synthesis task.
N-day patch diffing to exploitation. Reverse-engineer vulnerability points from vendor patches, write PoCs, and build usable exploit modules. Use cases: a known CVE number but only a patch and no PoC; SRC/red teams targeting assets that have not been updated in time; N-day weaponization; Patch Tuesday follow-up. Core method: obtain before/after binaries → align symbols → binary diff → inspect added security checks to infer the bug class → write a PoC to trigger the vulnerability. Trigger keywords: N-day, Nday, patch diffing, patch diff, patch tuesday, 1day, binary diff vulnerability, bindiff exploitation, ghidriff, Diaphora, patch analysis, CVE reproduction, vulnerability reconstruction, patch reverse engineering, N-day weaponization
Builds with and operates Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings/environment variables, creating Pi skills/extensions/packages/themes/prompt templates, embedding Pi through the SDK, integrating over RPC or JSON event streams, parsing sessions, running local models through the llama.cpp router, developing custom Pi providers and TUI components, or using ecosystem packages such as pi-subagents (delegation/orchestration), pi-mcp-adapter (MCP servers), pi-interview (interactive forms), and pi-web-access (web search, fetching, video understanding).
When the user wants to plan SEO strategy, prioritize SEO work, or understand the SEO workflow. Also use when the user mentions "SEO strategy," "SEO plan," "SEO roadmap," "SEO priority," "SEO audit," "SEO workflow," "where to start SEO," "SEO approach," "organic growth strategy," "why SEO," "SEO value," or "search strategy." For technical/crawl audit execution, use seo-audit. For keyword research, use keyword-research. For AI search visibility, use generative-engine-optimization.
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.