Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Design and build native-feeling macOS application UIs. Use this skill whenever the user asks to create a desktop app, macOS app, Mac-style interface, Apple-style UI, system utility, or anything that should look and feel like a native Mac application. Also trigger when users mention “native feel,” “desktop app design,” “Apple design patterns,” “sidebar layout,” “traffic lights,” or want to build tools/utilities that feel like they belong on macOS. This skill covers layout, composition, interaction patterns, animations, light/dark mode, and all the subtle details that make an app feel like Apple built it
Dodo Payments in-app checkout for React Native, Flutter, native iOS, and Android using SFSafariViewController or Chrome Custom Tabs. Use when a mobile app must open a backend-created checkout session, handle deep link or custom URL scheme returns, recover abandoned checkouts, and verify payment server-side before unlocking access
Explain football analytics concepts and provider documentation: what metrics mean (xG, PPDA, xT), learning paths and resources, and provider details such as qualifier IDs, coordinate systems, event types, schemas, ID schemes, coverage, or provider comparisons.
Official OpenAI skills relevant to design work: image generation and editing, desktop screenshot capture, and Figma skills for design implementation, Code Connect component mapping, and design system rules. Part of a larger curated OpenAI skills repo.
OpenAPI 3.1 specification, schema design, and code generation. Use when designing REST APIs, generating TypeScript clients, or creating API documentation. Use for openapi, swagger, api-spec, schema, code-generation, api-docs, openapi-typescript, zod-openapi
Use the public `orca` CLI to operate Orca-managed worktrees, folder contexts, terminals, repos, automations, worktree comments, and the browser embedded inside the Orca app. Use when the user says "$orca-cli", "use orca cli", "Orca worktree", "child worktree", "cardStatus", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "terminal send", "full handoff", "handover", "give this to another agent", "another worktree", "Orca browser", or "control the browser inside Orca". Prefer this over raw `git worktree`, ad hoc PTYs, Playwright, or Computer Use when the task touches Orca-managed state. Use Computer Use for browser windows, webviews, or desktop UI outside Orca's embedded browser.
Use when working with the Photon CLI — the `photon` binary (alias `pho`). Reach for this skill to set up / bootstrap Photon for a user and run it yourself non-interactively (create a project, capture the id + secret, verify) — when the user says "set this up for me," that is your job to do, not hand back. Also covers running any CLI command, authenticating (device-authorization login / logout / whoami / auth status), managing projects (create, show, list, rename, regenerate the Spectrum API secret, delete, open in the dashboard), managing Spectrum resources (lines, users, platforms, profile, avatar), resolving config and environment (PHOTON_PROJECT_ID, PHOTON_TOKEN, PHOTON_API_HOST, credentials storage, multi-backend), and billing/upgrades (plans, checkout, manage, `projects upgrade`). Answers operational questions like "how many lines do I have?", "what's my project secret?", "how do I make this a business line?", and "how do I point the CLI at a different backend?". This is the entry point; the happy-path setup is right below — consult the topic files for full reference. Keywords: photon, pho, photon cli, photon-ai cli, @photon-ai/cli, photon dashboard, command line, terminal, login, device authorization, oauth device flow, logout, whoami, auth status, credentials, PHOTON_PROJECT_ID, PHOTON_TOKEN, PHOTON_API_HOST, PHOTON_CONFIG_DIR, projects, create project, bootstrap, project id, project secret, regenerate-secret, rotate secret, check-phone, upgrade, billing, plans, checkout, stripe, manage, portal, free tier, pro, business, enterprise, dedicated line, spectrum, lines, add line, imessage line, users, invite, platforms, enable, disable, profile, avatar, ping, env, config, json output, api-host, multi-backend, backend, bun, commander, eden, dashboard-api, quickstart, agent setup, automated setup, non-interactive, scriptable bootstrap, set up photon.
Cycle through multiple PolyHaven materials on a product and render each variant. Great for showing color/finish options. Trigger when asked to show material variants, swap textures, create color options, show finish comparisons, or render product in different materials.
Exécute des requêtes SQL en lecture seule sur plusieurs bases de données PostgreSQL. À utiliser pour : (1) interroger des bases PostgreSQL, (2) explorer les schémas/tables, (3) exécuter des requêtes SELECT pour l'analyse de données, (4) vérifier le contenu des bases. Supporte plusieurs connexions avec descriptions pour une sélection automatique intelligente. Bloque toutes les opérations d'écriture (INSERT, UPDATE, DELETE, DROP, etc.) par sécurité.
Create review-ready pull requests or merge requests from the current branch through a fork-aware, idempotent, preview-first, user-approved workflow. Use when the user asks to create, open, draft, or submit a PR, pull request, merge request, or code review request, or says their branch is ready for review.
Verify against the actual project whether all considerations for its design have been addressed. For repositories created from masseater/typescript-template, also handle GitHub settings and migration to the template. Use when creating a new repository, after delegating a migration to AI, before a major change, or when reviewing an existing project
Use the react-call library (createCallable) when building UI that resolves a value back to its caller — confirmations, dialogs, form modals, toasts, notifications, context menus, pickers. Use when a React task involves any such "await the UI" interaction, when code imports createCallable, useMutationFlow, react-call/host, or react-call/vite, or when the user mentions react-call or Callables. If react-call isn't a dependency yet but the problem fits, propose adding it. Covers Declare→Root→Call, call vs upsert, mutation flow, multi-preview Hosts, SSR, and the single-Root rule.
Advanced Regle form validation patterns — collection validation with `$each`, async rules and `$pending`, server/`externalErrors`, `$reset` options, global config with `defineRegleConfig`, discriminated-union variants, cross-component `useScopedRegle`/`useCollectScope`, `mergeRegles`, and object-level `$self`. Use for arrays of fields, async/server validation, scoped or merged forms, i18n messages, or variant forms. For schema libraries see regle-schemas.
World-class character rigging and animation systems expertise: skeleton hierarchies, deformation, FK/IK, facial rigs, weight painting, and game engine integration from someone who has shipped AAA characters. Use when terms such as “rig a character”, “character rigging”, “skeleton hierarchy”, “weight painting”, “skin weights”, “joint orientation”, “fk ik”, “inverse kinematics”, “forward kinematics”, “facial rig”, “blend shapes”, “morph targets”, “twist bones”, “deformation”, “animation retargeting”, “root motion”, “bone limits”, “control rig”, “humanoid avatar”, “generic rig”, “candy wrapper effect”, “volume preservation”, “rigging”, “animation”, “character”, “skeleton”, “deformation”, “maya”, “blender”, “unity”, “unreal”, “fbx”, “skinning”, “weight-painting”, “ik”, “fk”, “facial”, or “mocap” are mentioned
Apply when explicitly asked to probe, stress, fuzz, or chaos-test a product, feature, or PR for unreported bugs, including preparing a source-grounded handoff when the runtime is unavailable. Do not apply to ordinary static review or investigation of a known defect unless the request also asks for exploratory runtime probing. Two passes: a closed probe taxonomy, then a promotion gate that keeps only caller-reachable findings.
Expert patterns for Salesforce platform development, including Lightning Web Components (LWC), Apex triggers and classes, REST/Bulk APIs, Connected Apps, and Salesforce DX with scratch orgs and 2nd generation packages (2GP). Use when: salesforce, sfdc, apex, lwc, lightning web components
Set up the sense CLI on a markdown tree and make the decisions that shape its index: run sense init, choose sqlite, duckdb, or turso, define presets and search signals, configure embeddings, and design queryable note conventions. Use when creating or restructuring a markdown knowledge base, editing sense.config.json, choosing a store or embedding model, or deciding how agents should write notes for later retrieval.
This skill should be used when searching Claude Code session transcripts with semantic understanding. Triggers on queries like "find sessions about X", "when did I work on Y", "search previous conversations". Supports natural language queries with synonym matching.
Signals scout for PostHog MCP tool calls. Watches `$mcp_tool_call` telemetry for tools that need improvement — broad-reach failure rates, retry hammering, slow or context-bloating responses — grouped by owning product category, each with a fix suggestion.
Signals scout for Core Web Vitals (`$web_vitals`). Watches each page's p75 LCP / INP / CLS / FCP against Google's thresholds and its own history — poor-band pages, band crossings, sharp regressions — and dates each regression against deploys and flag rollouts.
Large collection of specialist agent skills coordinated by an orchestrator, with a design suite: Vision (creative direction, design systems), Muse (design tokens, theming, dark mode), Frame (Figma-to-code context via MCP), Pixel (pixel-accurate HTML/CSS from mockups), Echo (simulated persona UX validation), Prose (microcopy and UX writing), and Ink (SVG icons and illustrations). The catalogue installs only these design skills.
Base-layer skill for the SenseNova-Skills project, providing low-level APIs for image generation, recognition (VLM), and text optimization (LLM). This skill does not preprocess inputs; it only calls backend services and returns results. This skill is not user-facing and is intended for upper-layer skills only.
Overrides default LLM truncation behavior. Enforces complete HTML generation with zero placeholder patterns. Every landing page must be delivered as a complete, production-ready file. No shortcuts, no skeletons, no “add more as needed” patterns
Korean and French screenwriting practice (韩国/法国编剧方法) — from the international masterclass; Oh Seung-uk (Christmas in August, The Shameless; field research in disguise, "write the emotion", first act and last act first, spaces as skeleton, reading to hostile listeners, surviving producers), Choi Seok-hwan (King and the Clown; genre as promise to the audience, "story = deepening crisis + intensifying desire", two reversals and bittersweet endings, the producer/director/writer trio), and Frédéric Auburtin (Paris je t'aime; dialogue last, Italian-style table reads, "12 lines not 13", dignity for characters, originals born from commissions, editing by emotion). Use when working in a Korean-style commercial drama or genre film, a French auteur/commission context, when planning field research, when a producer relationship is the problem, or when you need the Korean "three live together" development model or the French "emotion first, structure second" editing approach.
Implements Syncfusion WPF DataGrid (SfDataGrid) component for displaying and manipulating tabular data in Windows Presentation Foundation applications. Use this when working with data grids, table views, or data binding scenarios. Supports sorting, filtering, grouping, editing, Excel/PDF export, drag and drop, master-detail views, summaries, and extensive styling options
Structure a dev-tool homepage that converts developers into champions. Use when the landing page is written for the buyer instead of the developer, reads as salesy, buries what the product does, or makes it hard to start. Pairs with the ShipReady homepage audit.
Author, review, or explain Vanilla Lynx source that directly uses Element PAPI, delivered as a build-free `.lynxml` artifact or an Rspeedy project, including related build and serving workflows. Excludes ReactLynx, Canvas/WebGL, standalone API/CSS lookups, device-side runtime debugging, and bundle analysis
Edit any video by conversation. Transcribe, cut, color grade, generate overlay animations, burn subtitles — for talking heads, montages, tutorials, travel, interviews. No presets, no menus. Ask questions, confirm the plan, execute, iterate, persist. Production-correctness rules are hard; everything else is artistic freedom.
Used when releasing the App to build and push images to a private Harbor, configure CI pushes, or troubleshoot docker push failures. The repository address is read from local configuration; before pushing, check the network path, architecture, tag, and retention policy.
Use when services need public URL for redirects or CORS. Use when WEB_URL or similar has trailing slash issues. Use when user reports "redirect goes to wrong URL", "CORS error", or "trailing slash problem". Also use when user says "add domain", "set up domain", "bind domain", "create domain", or "manage domains" for a Zeabur service. Also use when domain creation fails with "WONDER_MESH_SERVER_REQUIRES_GATEWAY" or a domain is stuck in PROVISIONING on a Wonder Mesh server.
DataWorks metadata Skill for Alibaba Cloud — browse Data Map metadata and perform non-destructive writes via Aliyun CLI. READ scope: list/get catalogs, databases, tables, columns, partitions; query data lineage (upstream/downstream impact); list/get datasets & versions; list/get metadata collections (Category/Album) and entities inside them; preview dataset version content. WRITE scope (non-destructive only): update table & column business metadata; register lineage relationships; create/update datasets and versions; create/update metadata collections and add entities to them. This Skill exposes NO delete or remove APIs — every `delete-*` and `remove-*` operation is intentionally out of scope. For deletions, use the DataWorks console. Triggers: "dataworks metadata", "data map", "data lineage", "meta collection", "dataset", "catalog", "table info", "column info", "partition", "impact analysis", "register lineage", "create dataset", "update business metadata".
Use when troubleshooting Linux server performance or stability issues — CPU saturation, high load, scheduling delay, memory pressure, OOM events, high RSS, page cache / shared memory growth, memory cgroup residue, Java heap issues, disk IO saturation or latency, packet loss, network jitter, or a server that is slow, stuck, or unstable. Performs diagnosis and surfaces recommendations; does not apply fixes automatically.
Discover Instagram brand–creator partnerships by chaining Apify Actors. Use when the user asks who collabs with a brand, which brands a creator has done paid posts for, wants to audit an influencer's branded-content history, or wants to scope a brand's sponsorship roster. **Triggers:** - "who collabs with [brand] on Instagram?" - "what brands has [creator] done sponsored posts for?" - "find paid partnerships / branded content for [handle]" - "audit [influencer]'s brand deals" - "show me [brand]'s influencer roster" Works in either direction — brand → creators or creator → brands — and detects direction from the data, so don't ask the user to declare it. Requires Apify MCP tools.
Startup-tailored AWS architecture advice that adjusts recommendations to the company's stage (pre-revenue through Series B+), team size, runway, and available credits. Use when a founder wants guidance or a recommendation rather than code changes: which services to choose, how to plan or review an architecture, how to stretch credits and control cost, or how to prepare architecture for a fundraise or technical diligence. For an interactive discovery flow that scaffolds and writes the architecture into the codebase, use start-building-for-startups. For AI-agent runtime selection or agentic architecture recommendations specifically, use agent-advisor. Do not use for: writing or scaffolding code, factual AWS Activate / programs / credits lookups (see knowledge-base-for-startups), a single copy-paste prompt (see prompt-library-for-startups), or migration intent such as GCP-to-AWS, Azure-to-AWS, or Heroku-to-AWS (see the migration skills: `gcp-to-aws`, `azure-to-aws`, `heroku-to-aws`, `llm-to-bedrock`).
Periodic architecture survey — walks the module graph and reports ranked deepening candidates (shallow modules, hypothetical seams, logic behind the wrong seam). Survey, not rescue: it finds candidates and hands them to the captain; it never refactors on its own.
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.