🎨设计类 MCP / Skill 推荐

MCP 服务器构建方法论 — 系统化构建生产级 MCP 工具，让 AI 助手连接外部能力

Use when finishing a feature, fixing a bug, before committing React code, or when the user types `/doctor`, asks to scan, triage, or clean up React diagnostics. Covers lint, accessibility, bundle size, architecture. Includes a regression check and a full local-triage workflow that fetches the canonical playbook.

Build applications with React Router in Framework, Data, Declarative, and unstable RSC modes. Use when configuring routes, route modules, loaders, actions, forms, fetchers, navigation, pending UI, SSR/SPA/pre-rendering, middleware, URL params/search params, or React Router upgrades.

Use when you have a spec or requirements for a multi-step task, before touching code

Quality gate for Fintrack.Server backend refactors in CeroBase: verify domain encapsulation, CQRS folder layout, Result-based application messaging, FluentValidation, EF migrations, API consistency, and mandatory tests before marking work complete. Use whenever refactoring aggregates (e.g. Guid migrations), restructuring Application commands/queries, aligning a feature with an established pattern such as Budgets, or any multi-layer backend change where "quick fixes" would leave the codebase inconsistent—load this skill first, then open only the referenced skill files needed for the task rather than duplicating their text.

Use when changing backend agents, operons, ADK surfaces, or orchestration contracts inside the consent-protocol runtime.

Aplica mejoras transformacionales de UX móvil sobre componentes existentes. Agrega haptic feedback, drag-to-dismiss en sheets, swipe gestures, pull-to-refresh, skeleton loaders, tactile feedback (active:scale), safe-area handling, y ajustes de touch targets. Úsalo después de mobile-audit para corregir los issues encontrados, o sobre un componente específico que quieras llevar a calidad premium.

Mobile-first Bootstrap 5 UI development targeting iPhone 15 (Safari). Use when building templates, layouts, components, or any HTML/CSS/JS UI for this project. Ensures touch-friendly, performant interfaces.

Manage multi-container applications at scale.

Specialised skill for the AMT Docker Bench — a multi-container simulation of a T264 autonomous truck. Use when asked about docker_bench containers (rpk1, rpk2, rpk3, platform-sim, avi-radio, test-manager, vas-aht), Docker Compose configuration, network topology (onboard/offboard/CAN/local-fms-network), NAT setup, CIC/RPK version selection, T264 simulator, VAS:AHT integration, DDS QoS profiles, IP address remapping, overlay files, run_tests.sh, Docker Bench version compatibility, compatible FMS/AMT version pairs, or any issue involving the Docker Bench environment. Also use for debugging container startup failures, networking problems, build errors, image pull failures, version mismatch issues, or service readiness issues in the bench. Can fetch the Docker Bench Versions Compatibility Matrix from Confluence to determine compatible version combinations.

Implements features on this Next.js 14 App Router codebase with lint and TypeScript checks, matching existing Prisma/auth/UI patterns. Use when building or changing app routes, components, lib modules, or API handlers in the InterlinedList repo.

Use for complex Agent Zero Browser form workflows involving selects, checkboxes, radios, file uploads, contenteditable fields, multi-step validation, or visually verified submission.

Plan a multi-file Rust refactor safely: investigate, plan, confirm, implement. Use before any multi-file refactor.

Intelligent refactor command. Triggers: refactor, refactoring, cleanup, restructure, extract, simplify, modernize.

Spin up a live local Omnigent server and exercise the Cursor SDK harness end-to-end — build cursor agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the cursor harness (omnigent/inner/cursor_executor.py, cursor_harness.py, cursor_auth.py) or its auth / model / tool-bridge behavior.

Generate or edit images through Hermes Web UI using the selected/requested profile's configured API-key image provider from config.yaml.

Use RefactoringMiner MCP and AST diff views to review pull requests, commits, or local worktrees by separating detected refactoring structure from behavior-relevant code changes. Use this when the user asks Claude Code to review non-refactoring changes, inspect moved or renamed code with WebDiff, or explain which changes are refactorings versus semantic edits.

Security hardening reviewer for GitHub Actions workflow files (.github/workflows/*.yml). Reasons about the Actions threat model that pattern matchers and general code linters miss — untrusted-input script injection, privileged triggers running fork code, mutable action references, and over-scoped tokens. Use this skill when asked to review, audit, harden, or secure a GitHub Actions workflow, when writing a new workflow, or for any request like "is this workflow safe?", "review my CI for security issues", "why is pull_request_target dangerous here?", "pin my actions", or "lock down GITHUB_TOKEN permissions". Covers script injection via ${{ }} interpolation, pull_request_target / workflow_run privilege escalation, SHA-pinning of third-party actions, least-privilege permissions, GITHUB_ENV/GITHUB_OUTPUT injection, secret exposure, OIDC over long-lived credentials, and self-hosted runner exposure on public repositories.

Build local constrained-browser agents with a safe_browser tool that owns CDP, enforces a domain allowlist with Fetch interception, and lets a runtime Claude Agent SDK agent complete browsing tasks without raw browser, shell, or CDP access. Use when the user wants an agent to browse or scrape while staying on approved domains, demo blocked off-domain navigation, or generate a safe browser client.

Turn a website's observable HTTP traffic into a best-effort OpenAPI 3.1 spec by analyzing a `browser-trace` capture. Use when the user wants to discover/extract API endpoints from a browser session, build an OpenAPI doc from network traffic, or document a third-party site's XHR/fetch surface for client integration.

Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

Security payloads, bypass tables, wordlists, gf pattern names, always-rejected bug list, and conditionally-valid-with-chain table. Use when you need specific payloads for XSS/SSRF/SQLi/XXE/NoSQLi/command injection/SSTI/IDOR/path-traversal/HTTP smuggling/WebSocket/MFA bypass, bypass techniques, or to check if a finding is submittable. Also use when asked about what NOT to submit.

Mobile app pentest for bug bounty (Android APK + iOS IPA) — runtime-first workflow: install app, proxy through Burp/mitmproxy, drive the UI, capture packets, then test the API exactly like a web target; escalate to decompile (apktool/jadx) and Frida/objection only when traffic is SSL-pinned, encrypted, or absent. Covers APK/IPA decompile for hardcoded secrets + hidden API endpoints + base URLs the web app never exposes, exported-activity and deeplink intent injection, WebView addJavascriptInterface bridge abuse, SSL pinning bypass (objection patchapk / Frida CertificatePinner + checkServerTrusted hooks), OkHttp interceptor chain to recover request signing, JNI native-lib triage, and the quick apktool/grep secret + endpoint sweep. Use when the program scope includes a mobile app, when web recon dries up and you need a fresh attack surface, or when traffic is pinned and you must MitM it.

Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.

Create prototype-backed API proposals for dotnet/runtime. Use when asked to draft an API proposal, write an api-suggestion issue, refine a vague API idea into a complete proposal, or improve a proposal marked api-needs-work. Covers the full pipeline from research through prototyping, ref source generation, and publishing. DO NOT USE FOR bug fixes, code review, performance benchmarking, or internal API changes that don't affect public surface area.

Mobile application security reconnaissance — APK/IPA analysis, permission enumeration, certificate validation, hardcoded secret detection, insecure storage identification, network security analysis.

Refactor macOS SwiftUI views and scenes with strong defaults for small dedicated subviews, stable sidebar and selection structure, explicit command and toolbar ownership, scene-aware state, and narrow AppKit escape hatches. Use when cleaning up a macOS view file, splitting oversized scene roots, removing iOS-centric patterns, or tightening mixed SwiftUI/AppKit architecture.

MUST USE for ANY git operations. Atomic commits, rebase/squash, history search (blame, bisect, log -S). STRONGLY RECOMMENDED: Use with task(category='quick', load_skills=['git-master'], ...) to save context. Triggers: 'commit', 'rebase', 'squash', 'who wrote', 'when was X added', 'find the commit that'.

Refactor and clean up the uncommitted change before committing. Eliminate duplication, rename unclear domain concepts, collapse shotgun surgery when another similar change is likely, remove dead / test-only / redundant code, split files larger than 250 lines into cohesive modules, and confirm related tests still pass. Use after finishing a phase or sub-phase and before commit, or whenever the developer asks to clean up the current change. Triggers on: refactor change, clean up change, post-change refactor, before commit cleanup, tidy current change.

Design UI/UX systems with style guides, palettes, typography, and component specs for new interfaces

Design UI/UX systems with style guides, palettes, typography, and component specs for new interfaces

Use this skill when the user asks the agent to open, browse, inspect, extract content from, click through, fill forms on, screenshot, or verify a web page with a browser. Also use it for MoviePilot scenarios that need browser interaction, such as checking a site page, confirming a JavaScript-rendered result, testing login state, capturing visible errors, or updating and validating tracker site cookies.

Create a React component using the Container/Presentation pattern in src/components by asking for the component name and type (ui or features), then scaffold files that follow this repository's TypeScript, Storybook, and SCSS conventions. Use when the user explicitly asks for a Container/Presentation-based component or runs /react-container-presentation-component.

Use when choosing backend verification for changes that touch integration tests, PostgreSQL, Redis, Kafka, or any test flow that depends on Testcontainers in Iced Latte.

Use when changing public backend API behavior, OpenAPI-owned request or response shapes, generated DTO boundaries, endpoint contracts, or compatibility rules in Iced Latte backend.

Use when backend changes risk crossing feature boundaries, changing exported `api/` surfaces, or violating Spring Modulith dependency expectations in Iced Latte.

Use when adding or changing database schema, Liquibase changelogs, SQL migration files, rollout order, or schema-backed backend behavior in Iced Latte backend.

Author good Ginkgo specs — container nodes (Describe/Context/When), subject nodes (It/Specify), setup/cleanup nodes (BeforeEach, JustBeforeEach, AfterEach, DeferCleanup, BeforeSuite/AfterSuite), the "declare in container, initialize in BeforeEach" rule, separating creation from configuration, reusable test helpers with GinkgoHelper()/GinkgoHelperGo(), and By/GinkgoWriter output. Use when writing or reviewing specs or extracting a test helper. Covers the tree-construction-time pitfalls (no assertions/init/loop-capture in container bodies).

Review code for logging patterns and suggest evlog adoption. Guides setup on Nuxt, Next.js, SvelteKit, Nitro, TanStack Start, React Router, NestJS, Express, Hono, Fastify, Elysia, oRPC, Cloudflare Workers, and standalone TypeScript. Detects console.log spam, unstructured errors, and missing context. Covers wide events, structured errors, drain adapters (Axiom, OTLP, HyperDX, PostHog, Sentry, Better Stack, Datadog), sampling, enrichers, and AI SDK integration (token usage, tool calls, streaming metrics, telemetry integration, cost estimation, embedding metadata).

Use this skill to review, debug, or modify VoxBento's Docker configuration. Files: `docker-compose.yml`, `Dockerfile`, `mediamtx.yml`.

Use this skill to review deployments, validate production readiness, or assist with deployment procedures. Reference: `DEPLOYMENT_GUIDE.md`, `docker-compose.yml`, `Caddyfile`, `Dockerfile`.

Trace bugs through call chains using knowledge graph

Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.