Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Generates consistent UI components, layouts, and design tokens following a design system. Enforces spacing, color, typography, and accessibility standards across React/TypeScript projects. Use when creating new UI components, building page layouts, choosing colors or typography, setting up design tokens, or reviewing UI code for design consistency. Covers 8pt spacing grid, Tailwind CSS token usage, shadcn/ui primitives, WCAG 2.1 AA compliance, responsive breakpoints, semantic HTML structure, and TypeScript component interfaces. Does NOT cover backend implementation (use python-backend-expert), testing (use react-testing-patterns), or deployment (use deployment-pipeline).
Plan a feature or task in fast, full, or ultra mode. Ultra creates an indexed multi-file bundle with deeply specified phases for execution by a smaller model. Use for "plan", "new feature", "start feature", "create tasks", or exhaustive implementation planning.
Use the public `aio-ade` CLI to operate AIO-ADE-managed worktrees, folder contexts, terminals, repos, automations, worktree comments, and the browser embedded inside the AIO-ADE app. Use when the user says "$aio-ade-cli", "use aio-ade cli", "AIO-ADE worktree", "child worktree", "cardStatus", "spawn codex/claude in a worktree", "read/wait/send AIO-ADE terminal", "terminal send", "full handoff", "handover", "give this to another agent", "another worktree", "AIO-ADE browser", or "control the browser inside AIO-ADE". Prefer this over raw `git worktree`, ad hoc PTYs, Playwright, or Computer Use when the task touches AIO-ADE-managed state. Use Computer Use for browser windows, webviews, or desktop UI outside AIO-ADE's embedded browser.
Use when users need Arduino CLI commands for board discovery, library installation, compilation, upload, or serial-port troubleshooting on Windows, macOS, or Linux. Use it as the CLI branch of a broader workflow when the project also involves Arduino IDE, PlatformIO, vendor tools, hardware, power, or deployment.
Ascend C operator mssanitizer memory detection and analysis skill. Used to detect and analyze operator memory issues: illegal memory access, illegal free, memory leaks, UB address out-of-bounds, and to generate problem reports. Automatically identifies the operator project type (ops operator repositories use GE IR mode, custom operators use Python mode). Trigger keywords: mssanitizer, memory detection, memory leak, illegal access, illegal free, memory error.
Alibaba Java Development Manual (Alibaba coding guidelines), used for code standard checks and guiding development. Invoke this skill when the user needs to check whether Java code complies with the Alibaba development guidelines.
Write, fix, or review Azure DevOps wiki Markdown, Mermaid, _TOC_, _TOSP_, details blocks, query tables, mentions, work-item links, KaTeX, videos, and code fences. Use for Azure DevOps surface quirks. Do NOT use for GitHub-only or non-Azure docs.
Biome reference (Rust formatter and linter). Supports JavaScript / TypeScript / JSX / CSS / JSON / GraphQL / HTML (Vue, Svelte, Astro). Covers biome.json, biome check / lint / format / ci / migrate / upgrade, linter rules, presets and domains, GritQL plugins, assist (organizeImports), suppressions (biome-ignore), LSP / VS Code / Zed, ESLint / Prettier migration, monorepos, and CI
Build and deploy applications on inference.sh. Use when getting started, understanding the platform, creating apps, configuring resources, or needing an overview of inference.sh app development. Supports both Python and Node.js. Triggers: inference.sh app, belt app, inf.yml, inference.py, inference.js, deploy app, app development, build app, create app, GPU app, VRAM, app resources, app secrets, app integrations, multi-function app
Use this skill when no pre-built connector fits and processes need a reusable integration — a proprietary or internal API, custom auth, a shared retry policy, or an inbound webhook, subscription, or poller that starts processes. Builds custom Camunda 8 connectors as a JSON template on a protocol connector or in Java with the Connectors SDK.
Build heads-up display (HUD) dashboards for AI coding agents — show context usage, active tools, running sub-agents, and task progress in real-time. Use when: monitoring AI agent activity, building developer tools for AI-assisted coding, creating status dashboards for agent workflows.
CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth, openid handling, payment callbacks, and CloudBase Integration Center generated functions. This skill should be used when users ask to add, debug, or extend WeChat payment, virtual payment, or official-account flows on CloudBase.
Use when a user mentions Scandit, data capture SDK, barcode scanning products, smart data capture, choosing a scanning product, comparing scanning features, supported barcode symbologies, system requirements, device compatibility, or Scandit pricing. Helps choose the right Scandit product (SparkScan, Barcode Capture, MatrixScan, Smart Label Capture, ID Capture, etc.), points to the correct documentation and sample apps for their platform, and hands off to implementation skills.
Polish a Flutter app's screens — visual hierarchy, typography, color and contrast, spacing, section clarity. Reads a reference screen first to lock in the app's existing design tone, then drives the running app on an Android emulator via the `android-emulator` skill (screenshots, taps, swipes), makes targeted widget and `ThemeData` edits, and spawns an independent evaluator sub-agent to score design quality, originality, craft, and functionality. Use this skill whenever the user wants to improve, polish, refine, critique, audit, or tighten the visual design of a Flutter screen — even when they don't say "polish" (e.g. "make this look better", "fix the layout on settings", "tighten up the home screen", "this screen feels off", "review the UI", "design pass", "make it less generic", "feels too Material default"). Skip for non-Flutter UIs, feature work, or routing/functionality changes.
Host-side DOCA UROM library (doca_urom_*): offload an HPC / UCX / MPI application's remote memory operations (puts, gets, atomics, collectives) from the host CPU onto a BlueField DPU. Trigger on "MPI all-reduce burning host CPU", "push UCX traffic onto the BlueField", "first doca_urom call returns NOT_PERMITTED", or "host library and DPU service look out of sync", even without naming DOCA UROM. An offload needs both halves: this host library and the UROM Service on the DPU (doca-urom-svc), which owns deploying that container. Covers creating UROM Service contexts (doca_urom_service_*) and Worker contexts (doca_urom_worker_*) that run plugins on the DPU, discovering plugins via doca_urom_service_get_plugins_list, progressing completions, and DOCA_ERROR_* from doca_urom_* calls. Route elsewhere for UROM Service deployment on the DPU side, MPI / UCX collective algorithm design, and RDMA / RoCE / IB substrate bring-up.
Use when writing, rewriting, or reviewing PR/CL descriptions, commit messages, or code-change summaries that explain what changed and why. TRIGGER on "write PR description", "improve this commit message", "summarize this diff", "CL description", "change description", or "make this PR/CL description easier to review". DO NOT TRIGGER for code review, PR splitting, code restructuring, user-facing changelogs, or reviewer replies unless the requested output is a change description.
Generate architecture diagrams as .excalidraw files from codebase analysis, with optional PNG/SVG export. Use when the user asks to create architecture diagrams, system diagrams, visualize codebase structure, generate excalidraw files, export excalidraw diagrams to PNG or SVG, or convert .excalidraw files to image formats.
Profile and improve Flutter runtime performance using profile-mode evidence, DevTools, frame analysis, rebuild inspection, memory, and app-size tools. Use for jank, slow startup, excessive work, leaks, or size regressions; route production logs, errors, and traces to flutter-observability.
Use when debugging Frappe errors, using bench console for live inspection, analyzing tracebacks, or reading Frappe log files. Prevents wasted debugging time from ignoring log context, misreading tracebacks, and not using bench console effectively. Covers bench console, frappe.logger, error log DocType, traceback analysis, common error patterns, log file locations, pdb/debugger integration, VS Code DAP, profiling, Frappe Recorder, mariadb diagnostics. Keywords: debug, bench console, traceback, error log, frappe.logger, pdb, debugging, log analysis, inspect, VS Code, DAP, profiling, recorder, mariadb, monitor, ERPNext error, how to debug, find the bug, what went wrong, stack trace, error message..
Design, build, review, or refine production frontend interfaces for SaaS products, web apps, dashboards, onboarding flows, and landing pages. Use for frontend design work where Codex must turn requirements into clear, restrained, consistent, trustworthy UI; remove AI-generated visual clutter; improve hierarchy, states, copy, navigation, responsiveness, or usability; or polish an existing interface so users can complete their main job without confusion.
Expert in designing and implementing intelligent game AI systems including behavior trees, finite state machines, GOAP, utility AI, pathfinding, steering behaviors, and perception systems. Specializes in creating believable, performant NPC behaviors that enhance player experience. Use when "game AI, NPC behavior, behavior tree, state machine for game, enemy AI, pathfinding, A* algorithm, navmesh, steering behavior, GOAP, utility AI, AI perception, combat AI, companion AI, boss AI, crowd simulation, flocking, game-ai, behavior-trees, pathfinding, npc, state-machines, goap, utility-ai, steering, perception" mentioned.
Expert knowledge of GitHub Copilot CLI - installation, configuration, usage, MCP servers, skills, custom agents, and troubleshooting. Use when asking about copilot cli, installing copilot, gh copilot, copilot commands, MCP setup, or copilot extensibility.
Full-history Godot version migration hub. Use when upgrading any Godot project toward the library target (currently 4.7)—from 1.x/2.x legacy eras through 3→4 and hop-by-hop 4.x minors—or finding Domain Skill-scoped migration notes. Trigger keywords: upgrade Godot, migrate Godot version, Godot 3 to 4, Godot 2 to 3, upgrading_to_godot, version migration, breaking changes, convert-3to4, TileMapLayer, AnimationMixer, engine.cfg, project.godot.
Receive and verify Knock outbound webhooks. Use when setting up Knock webhook handlers, debugging x-knock-signature verification, or handling notification events like message.sent, message.delivered, message.bounced, message.read, workflow.committed, or message.link_clicked.
Use when working with LineageOS custom ROM development, including syncing sources, building, device trees, repopick, Gerrit contributions, or LineageOS-specific features. Triggers on "LineageOS", "lineage-sdk", "breakfast", "brunch", "repopick", "vendor/lineage", "lineage.dependencies", "mka bacon".
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
Compile MQL5 indicators via CLI using X: drive mapping to bypass 'Program Files' path spaces issue. Use PROACTIVELY after editing ANY .mq5 or .mqh file. Triggers - after editing MQL5 code, compile, build, MetaEditor, .mq5, .mqh, indicator, script, EA, expert advisor, "test it", "try it", "run it", path space errors. (project)
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.
