Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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Build camera capture for iPhone Duo's two front cameras — the virtual front camera, the inner under-display and outer ultra-wide devices, AVCaptureDeviceDirectionCoordinator, preview mirroring and video gravity, and dual-display capture. Use when an app captures photo or video and must handle the device opening, closing or flipping.
OpenOCD download and debugging tool for probe detection, firmware flashing, Flash erasing, GDB Server startup, target reset control, Telnet online debugging (halt/resume/step/registers/memory/breakpoints), GDB source-level debugging, and Semihosting/ITM output capture and low-level queries. Triggers automatically when the user mentions OpenOCD, ST-Link, CMSIS-DAP, DAPLink, FTDI, flashing firmware, erasing Flash, GDB Server, reset, interface/target/board configuration, openocd.cfg, online debugging, single stepping, breakpoints, viewing registers, reading/writing memory, or semihosting, and also supports explicit invocation via /openocd. Even if the user only says "flash it", "start the GDB Server", "erase the chip", "look at the registers", "single step" or "capture semihosting", this skill should trigger as long as the context involves an OpenOCD-supported open source debugger.
Automate Pulumi provider repo upgrades with the `upgrade-provider` tool. Use when upgrading a pulumi provider repository to a new upstream version, running `upgrade-provider`, and addressing its common failure modes like patch conflicts or missing module mappings.
Use this skill when implementing a RevenueCat purchase on Android. Covers awaitPurchase, PurchasesTransactionException, reading CustomerInfo entitlements to grant access, restoring purchases, and the six SDK managed steps that happen inside a single call.
Use this skill when testing a RevenueCat Android integration. Covers the RevenueCat Test Store (test_ API key prefix, in dialog Success/Fail/Cancel choice), mockk based unit testing with an interface wrapper around Purchases, and a GitHub Actions CI pattern. Avoids Google Play sandbox for day to day test iteration.
Use when generating, extending, or editing video with Gemini Omni models on Scenario via MCP: text-to-video, image-to-video from a first frame, reference-to-video keeping a character, product, or place consistent, appending footage to a clip, restyling footage by prompt (season, wardrobe, art style), native audio with dialogue and ambience, or picking between first-frame and reference conditioning. Keywords: Gemini Omni Flash, 1.1 Flash, Google, T2V, I2V, V2V, extend, subject consistency.
Use when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads, or infographics with exact in-image text, photoreal shots from camera and lighting cues, extended aspect ratios up to 20:9 and 9:20, quality and resolution tiers, or batches of variations. Keywords: Grok Imagine Image 2.0, Image Quality, xAI, Aurora, Grok, txt2img, img2img, typography, 2K.
Analyze alternative investments including hedge funds, private equity, and venture capital. Use when the user asks about hedge fund strategies (long/short, macro, event-driven), PE or VC performance metrics (IRR, TVPI, DPI), fee structures ('2-and-20', carry, hurdle rates), the J-curve effect, illiquidity premiums, lock-up periods, or hedge fund replication. Also trigger when users mention 'managed futures', 'CTA', 'fund of funds', 'vintage year', 'capital calls', 'distributions', 'carried interest', or ask how to evaluate an alternative investment manager.
Competitor research and intelligence skill. Takes a user's company (with optional seed competitor URLs), auto-discovers additional competitors via Browserbase Search API, deeply researches each using a 4-lane pattern (marketing surface, external signal, public benchmarks, strategic diff vs the user's company), and compiles the results into an HTML report with four views: overview, per-competitor deep dive, side-by-side feature/pricing matrix, and a chronological mentions feed (news, reviews, social, comparison pages, and public benchmarks). Use when the user wants to: (1) analyze competitors, (2) build a competitive matrix, (3) extract competitor pricing / features, (4) find comparison pages and online mentions of competitors, (5) surface public benchmarks. Triggers: "competitor analysis", "analyze competitors", "competitive intel", "competitor research", "competitor pricing", "feature comparison", "price comparison", "find comparisons", "who's comparing us", "competitor mentions", "competitor benchmarks".
Laravel AI SDK for building AI-powered features. Use when creating agents, generating images or audio, working with embeddings, vector search, or testing AI features. Triggers on tasks involving laravel/ai, AI agents, tool-calling, structured output, streaming, embeddings, reranking, or AI faking in tests
Audit a spec before implementation — readiness gate, backward-compatibility check against BACKWARD_COMPATIBILITY.md, completeness, repo-rule compliance, risks, gaps — and leave a go/conditional/no-go report with a remediation plan. Read-only. Use for "is this spec ready", "pre-implement", "spec readiness", "BC analysis", "spec gap analysis".
Turn the Medialyst PR calendar feed into a brand-specific, lead-time-aware plan. Pull source-backed upcoming moments, keep only the few a brand has real standing to own, schedule backward from the event date, screen out tone-deaf hooks, and hand selected moments to angle and journalist prep ahead of time. The planned twin of newsjack-detector's reactive monitoring.
Turn a live article URL into a press clip that looks like the real coverage — the publication's own logo, fonts, photos and layout kept intact, the ads and clutter removed, and (for a roundup) just the client's section. Renders to PDF. You inspect each site and tailor the removal; the bundled script carries no site-specific logic.
Install, initialize, verify, and troubleshoot RTK (Rust Token Killer) for AI coding agents. Use when you need to reduce shell command token output, confirm the correct `rtk` binary is installed, choose between Homebrew, install.sh, or Cargo installation, wire up `rtk init` for Claude Code, Codex, Gemini CLI, Cursor, Copilot, Windsurf, Cline, or OpenCode, or use compact wrappers such as `rtk git status`, `rtk read`, `rtk grep`, `rtk test`, `rtk lint`, and `rtk gain`. Triggers on: rtk, rust token killer, token saver cli, rtk init, rtk gain, codex rtk, gemini rtk, opencode rtk, claude hook token reduction.
Use when generating music with MiniMax models on Scenario via MCP: full songs with vocals from a lyric sheet, structure tags like [Verse] and [Chorus], auto-written lyrics from a plain-language brief, instrumental tracks from a style prompt, or covering an uploaded MP3 or WAV in a new genre while keeping the melody. Keywords: MiniMax Music 3.0, Music Cover, Hailuo, text-to-music, audio-to-audio, song generation, lyrics, vocals, instrumental, BPM, genre swap.
Implements Syncfusion DataManager for local/remote binding, CRUD, querying, caching, and middleware. Supports JsonAdaptor, ODataAdaptor, ODataV4Adaptor, UrlAdaptor, WebApiAdaptor, WebMethodAdaptor, RemoteSaveAdaptor, GraphQLAdaptor, CustomDataAdaptor, and CustomAdaptor. Covers Query class, filtering, sorting, paging, grouping, persistence, offline mode, caching, and error handling.
Create meme-style images, funny meme drawings, captioned photos, and lightweight social visuals with AnyCap. Use when an agent needs to turn a joke, reaction, campaign hook, quote, or screenshot into a meme image, funny doodle-style meme drawing, captioned image, or short meme-video concept. Combines AnyCap image generation and editing with deterministic local text overlay, optional video generation, and Drive or Page delivery.
Keep a Codex orchestrator's delegation to an installed delegate skill pending until its registered relay completes, without model-driven progress polling. Use with a selected implementer delegate skill when Codex is the orchestrator and the delegation should wait in the background; sets up its MCP server on first use.
Expert patterns for 2D animation in Godot using AnimatedSprite2D and skeletal cutout rigs. Use when implementing sprite frame animations, procedural animation (squash/stretch), cutout bone hierarchies, or frame-perfect timing systems. Trigger keywords: AnimatedSprite2D, SpriteFrames, animation_finished, animation_looped, frame_changed, frame_progress, set_frame_and_progress, cutout animation, skeletal 2D, Bone2D, procedural animation, animation state machine, advance(0).
Use when building durable AI agents or agentic workflows with Inngest and AgentKit, including model calls, tool calls, multi-agent networks, human approval, realtime progress, provider rate limits, crash-safe execution, and Agent Evals handoff. Covers AgentKit, `step.ai`, `step.run`, `step.waitForEvent`, native realtime, and when to use lower-level Inngest primitives instead of an in-memory agent loop. Use `inngest-agent-evals` with this skill when the user wants scoring, sessions, experiments, deferred scorers, or outcome-based evaluation for the agent.
LLDB debugger skill for C/C++/Swift/Objective-C programs. Use when debugging with LLDB on macOS, FreeBSD, or Linux-clang environments, mapping GDB mental models to LLDB commands, using LLDB in Xcode or VS Code, or debugging Swift/Objective-C. Activates on queries about LLDB commands, GDB to LLDB migration, Apple platform debugging, LLDB Python scripting, or IDE-integrated debugging with clang-built binaries.
Guide margin lending, margin requirements, and margin call operations for brokerage and advisory accounts. Use when calculating Reg T initial margin or buying power, determining maintenance margin or house requirements, evaluating portfolio margin eligibility under OCC TIMS, generating or resolving margin calls (fed call, house call, exchange call, day-trade call), designing forced liquidation waterfall logic, structuring securities-backed lines of credit (SBLOC), computing margin interest impact on returns, assessing concentrated position margin, understanding pattern day trader rules, or reviewing FINRA 4210 and Reg U requirements. Also covers SMA calculations and short margin mechanics. For OTC derivatives margin (variation/initial margin, CSAs, SIMM) see counterparty-risk.
Write, rewrite, or refresh an AGENTS.md (repo root or one package/module) from the actual codebase — Always / Ask First / Never / Validation Commands rules, task checklists, real paths and commands. Follows a repo template when present, else a built-in default. Use for "write AGENTS.md for this package", "rewrite our AGENTS.md", "refresh AGENTS.md".
Grounded gap analysis of requirements against the platform an app builds on — client docs become an Epic/Story tree whose every coverage verdict is re-run by executable gates against a validated platform checkout, scored in atomic commits, license-tier-tagged, summarized with a backlog. Use for "gap analysis", "what does the platform already cover".
Use when creating or editing music with ACE-Step models on Scenario via MCP: text-to-music songs with sung vocals from a lyric sheet, instrumental tracks, covering or restyling an existing song, repainting one section in place, changing sung lyrics, adding an instrument layer, completing a partial recording into a full arrangement, extracting stems, or choosing between Turbo and Quality lanes. Keywords: ACE-Step 1.5, cover strength, repaint, Vocal2BGM, stem separation, karaoke, BPM.
Use when generating or editing images with Seedream models on Scenario via MCP: text-to-image, image-to-image editing with reference images, posters or packaging with exact in-image text (non-Latin scripts too), subject-preserving edits, sets of related images in one run, editing a transparent asset without losing its alpha, or splitting an image into transparent PNG layers with Layerize. Keywords: Seedream 5.0 Pro, Lite, Flash, 4.5, Layerize, ByteDance, txt2img, img2img, layer extraction.
Comprehensive guide for implementing Syncfusion React button components including Button, ButtonGroup, DropDownButton, Floating Action Button, ProgressButton, SplitButton, Speed Dial, Switch, RadioButton, and Chips. Use this when adding styled buttons, toggle behavior, icon support, grouped selections, dropdown action menus, programmatic control floating primary actions, expandable speed dial menus, compact interactive elements with avatars and drag-and-drop, or single/multiple selection capabilities to a React application.
Determine when a product, platform, or communication crosses the regulatory line from education into investment advice requiring investment adviser registration. Use when the user asks about the definition of investment advice under Advisers Act Section 202(a)(11), whether a fintech feature or AI chatbot constitutes advice, the publisher's exclusion for newsletters or model portfolios, the broker-dealer solely incidental exclusion, adviser registration thresholds and exemptions, or DOL education vs advice safe harbors. Also trigger when users ask 'do I need to register as an investment adviser', 'does this app give investment advice', 'is this tool just education or advice', 'robo-adviser registration', or 'disclaimer language for financial content'. (For what triggers a 'recommendation' under Reg BI, use reg-bi.)
Turn user-provided data, notes, research, product facts or structured inputs into AnyCap-style blog posts, then enrich those posts with first-party evidence blocks when needed. Use when someone wants a blog, article, tutorial, learn page or SEO content draft written in the tone of the AnyCap website. Best fit when the input is data-first rather than prose-first: spreadsheets, JSON, bullet lists, notes, source URLs, benchmarks, product facts or rough research. Trigger on: write blog from data, turn notes into article, blog drafting, article production, learn page drafting, SEO article in AnyCap tone, or requests to convert structured inputs into publish-ready content.
Collect structured visual feedback from humans using AnyCap's annotation tool, or create and iterate on diagrams using the interactive whiteboard (Excalidraw). Covers image annotation, URL/web page review with screen recording, video review, audio feedback, and collaborative diagramming with Mermaid input. Use when you need a human to point at things, mark regions, draw on screenshots, review a web page or UI, narrate feedback over a recording, provide any spatially-grounded visual input, create or iterate on architecture diagrams, flowcharts, or wireframes. Also use when you need to present work-in-progress to a human for approval or revision. Trigger on: get feedback, show to user, review UI, annotate, mark up, visual feedback, screen recording, user review, human-in-the-loop, approval flow, interactive review, whiteboard, diagram, draw, flowchart, wireframe, architecture chart.
Expert in integrating third-party APIs with proper authentication, error handling, rate limiting, and retry logic. Use when integrating REST APIs, GraphQL endpoints, webhooks, or external services. Specializes in OAuth flows, API key management, request/response transformation, and building robust API clients
Design and implement end-to-end client onboarding workflows from prospect intake through funded account, covering KYC verification, document collection, e-signature, and custodian submission. Use when the user asks about building a digital onboarding flow, integrating identity verification or CIP checks, reducing NIGO rejection rates, opening complex account types like trusts or entities, connecting to custodian APIs, designing suitability questionnaires, or comparing advisor-assisted vs self-service models. Also trigger when users mention 'new account opening', 'onboarding bottleneck', 'KYC integration', 'beneficial ownership', 'OFAC screening', 'account funding', or 'onboarding automation'.
Produce a scannable morning briefing for Ane (Senior MEL/SRHR Specialist at IPPF). Use when the user asks for "daily brief", "morning briefing", "start of day", "what's on today", "plan my day", or similar. Assembles today's priority, calendar, overdue items, pending decisions, and an energy check. Operates on user-provided inputs by default; richer when calendar/email MCP servers are connected.
ELF binary inspection skill for Linux. Use when examining ELF executables or shared libraries with readelf, objdump, nm, or ldd to understand symbol visibility, section layout, dynamic dependencies, build IDs, or relocation entries. Activates on queries about ELF format, shared library dependencies, symbol tables, section sizes, DWARF debug info in binaries, binary bloat analysis, or undefined symbol errors.
Analyze structured fixed income products including mortgage-backed securities, asset-backed securities, and CLOs. Use when the user asks about MBS, ABS, CLOs, CDOs, prepayment risk, tranching, or waterfall structures. Also trigger when users mention 'mortgage bonds', 'agency MBS', 'pass-through securities', 'PSA prepayment speed', 'negative convexity', 'extension risk', 'contraction risk', 'CMO tranches', 'securitization', or ask how structured products redistribute credit and prepayment risk.
Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple, SharePlay, CarPlay, Game Center, in-app purchase, NFC, Wallet, VoiceOver, Maps, Mac Catalyst, and more. Use when asked about: "Siri integration", "Apple Pay", "HealthKit", "HomeKit", "ARKit", "augmented reality", "machine learning", "generative AI", "iCloud sync", "Sign in with Apple", "SharePlay", "CarPlay", "in-app purchase", "NFC", "VoiceOver", "Maps", "Mac Catalyst". Also use when the user says "how do I integrate Siri," "what are the Apple Pay guidelines," "how should my AR experience work," "how do I use Sign in with Apple," or asks about any Apple framework or service integration. Cross-references: hig-inputs for input methods, hig-components-system for widgets.
Run only the tests a change can affect — diffs the branch against its base, maps changed files to affected units via the repo's test map or workspace manifest, picks tests per configured suite, runs them, and falls back to the full suite whenever the mapping is unsure. Use for "run affected tests", "test only what changed", "smart test".
This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", "audit claims", "check overclaiming", "verify whether results support claims", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
Generates Postman collection JSON files from Express, Next.js, Fastify, Hono, or other API routes. Scans route definitions, extracts endpoints, methods, params, and creates importable collections. Use when users request "generate postman collection", "export to postman", "create postman file", or "postman import".
Use this skill when handling failed renewals on Android with RevenueCat. Covers how Grace Period and Account Hold are reflected in CustomerInfo automatically, when to prompt the user, and how to trigger Google's in app messaging via showInAppMessages.
Use this skill when gating access based on RevenueCat subscription state on Android. Covers reading CustomerInfo, checking entitlement.isActive as the single source of truth for access, and drilling into willRenew, periodType, and expirationDate when deeper logic is needed.
Guide for implementing, configuring, and debugging React Joyride v3 guided tours. Use this skill whenever the user mentions joyride, guided tour, onboarding tour, walkthrough, tooltip tour, step-by-step guide, product tour, or wants to highlight UI elements sequentially. Also use when debugging tour issues like tooltips not appearing, targets not found, or controlled mode problems. This skill covers the useJoyride hook, Joyride component, step configuration, events, controls, custom components, and styling.
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.