国内 MCP 服务推荐（飞书 / 高德 / 12306）

GitHub workflow automation for issues, pull requests, CI, and releases. Use when: repository hosting actions are explicitly requested. Skip when: local git operations are sufficient or publishing is unauthorized.

Commit local changes as a baseline, hop into a lightweight review worktree, run a thermo-nuclear code quality review scoped to ONLY that commit, commit the resulting refactor as a separate follow-up commit, then land it back and tear the worktree down. Use when the user asks to review their local/uncommitted changes for AI slop and redundant code, or invokes nv-park-and-review.

Mem0 SDK reference covering Python and TypeScript APIs, memory client methods, configuration, and framework integrations. Use when writing code that calls mem0 APIs, configuring memory providers, or integrating mem0 into an application.

Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.

Manage Python dependencies in Ray — add/remove/upgrade packages, work with raydepsets lock files, debug dependency conflicts, and regenerate compiled requirements. Covers `python/requirements*`, `python/requirements/**`, `python/deplocks/**`, and `ci/raydepsets/configs/*.depsets.yaml`.

Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).

Briefly guide installing, connecting, or troubleshooting the A0 CLI on the user's host so Dockerized Agent Zero can work with real local files. Use for install A0, enable the host connector, connect local files, remote tools, host-vs-container confusion, or A0 CLI setup problems.

TDD workflow for RTK filter development. Red-Green-Refactor with Rust idioms. Real fixtures, token savings assertions, snapshot tests with insta. Auto-triggers on new filter implementation.

An annotated / redline lo-fi wireframe — a desktop landing/marketing page drawn as flat greyboxes inside a browser chrome frame, overlaid with numbered annotation pins (①②③④⑤) in a single accent color, paired with a right-hand SPEC PANEL that lists each numbered pin with a short engineering / UX note. This is the "wireframe + redline spec" style — clean, flat, low-fidelity, NOT hand-drawn. Use when the brief asks for "annotated wireframe", "redline wireframe", "wireframe with spec", "lo-fi landing wireframe", "low fidelity", "线框图", "标注线框", or "redline".

Open Orbit briefing skill — selected by the Orbit pipeline when the user has two or more connectors connected. Pulls the past 24 hours of activity from every authenticated connector (GitHub, Linear, Notion, Slack, 飞书, Calendar, Gmail, Drive, Sentry, Vercel, …) and renders a single adaptive bento-grid dashboard at the top of "我的设计". Each connector module picks its own UI form (list, avatar stack, status ring, heatmap, file grid, alert card, …) based on the data shape it returns, so the layout scales as Orbit's connector ecosystem grows. This skill should not be triggered manually — it is invoked by Orbit's daily-digest scheduler against the user's live connector data.

A multi-frame gamified mobile-app prototype — three phone frames on a dark showcase stage. Frame 1: cover / poster, Frame 2: today's quests with XP ribbons and a level bar, Frame 3: quest detail. Vivid quest tiles, level ribbon, bottom tab bar. Use when the brief asks for a "gamified app", "habit tracker", "RPG-style life app", "level-up app", "daily quests", "XP / streak app", or "ELI5-style explainer app".

Notion-style team dashboard rendered as a Live Artifact. A single-page, self-contained HTML dashboard with KPIs, a 7-day sparkline, a real-time activity feed and a linked-database task table — wired to Notion via the Composio connector catalog. Refreshes on demand and when the artifact is opened. Falls back to seeded mock data when no connector is bound, so it works offline / in screenshots / in the picker preview.

X/Twitter public sentiment research for recent market, company, product, or community discourse. Use when the brief asks what people are saying on X, Twitter sentiment, CT sentiment, public opinion, expert posts, or social reaction around a stock, sector, company, product, or market event.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Build or refactor a Tool-channel provider (PagerDuty, Opsgenie, future incident/alerting tools) to be endpoint-routed: per-subscriber secrets encrypted on the channel endpoint resource, a stateless provider that resolves routing from channelData at send time, SKIPPED steps when no endpoint exists, and the full API/worker/dashboard/docs/playground surface. Starts with a mandatory provider-docs discovery gate. Use when refactoring Opsgenie to the PagerDuty model, adding a new tool provider, or touching pagerduty_service channel endpoints.

Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific library, framework, SDK, CLI tool, or cloud service — even for well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. Your training data may not reflect recent API changes or version updates. Always use for: API syntax questions, configuration options, version migration issues, "how do I" questions mentioning a library name, debugging that involves library-specific behavior, setup instructions, and CLI tool usage. Use even when you think you know the answer — do not rely on training data for API details, signatures, or configuration options as they are frequently outdated. Always verify against current docs. Prefer this over web search for library documentation and API details.

Fetch up-to-date documentation and code examples for any library, framework, SDK, CLI tool, or cloud service. Use whenever the user asks about a specific library — even well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot — because training data may not reflect recent API changes or version updates. Always use for: API syntax questions, configuration options, version migration issues, "how do I" questions mentioning a library name, debugging that involves library-specific behavior, setup instructions, and CLI tool usage. Use even when you think you know the answer. Do not rely on training data for API details, signatures, or configuration options — they are frequently out of date. Prefer this over web search for library documentation.

Post a plain-language summary of what's shipping in this week's tldraw.com (dotcom) release to the marketing team's Discord channel. Use when preparing the weekly dotcom release, when asked what's going out this week for a non-engineering audience, or when the scheduled release-marketing automation runs. Examines the production...main commit range, translates the user-facing changes into benefits marketing can understand, and posts a concise summary via a Discord webhook.

Manual OAuth for remote MCP servers on headless gateways.

List, auth, and call MCP servers/tools from the terminal.

Use whenever code will build, return, fetch, or execute SQL that runs against a user's real Postgres database — even when the request reads like an ordinary feature or bug fix and never says "security," "injection," or "SafeSqlFragment." This covers: writing or editing any pg-meta function, query builder, or endpoint that builds/returns SQL for database objects (tables, views, functions, DB triggers, indexes, RLS policies); interpolating a schema/table/column/search/route-param value into SQL text; storing, fetching, or re-running SQL that round-trips from the database (a policy's definition, a function/view definition, a snippet's saved content); and any "Run"/"Apply"/"Execute" action that sends SQL to a project's database (SQL editor run-selection, policy editor apply, snippet runner). Load this BEFORE writing such code, not only when reviewing a finished diff. Skip only for changes that never touch SQL text or execution — styling, unrelated data hooks, non-SQL form validation, or UI layout work.

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

Guides adding, changing, and reviewing telemetry through the `@n8n/telemetry` event registry. Use when working on telemetry, analytics, tracking, product events, `track()` calls, or RudderStack/PostHog product events, in frontend or backend code — and whenever you need to find which registered telemetry events exist, what an event means, or what properties it carries.

Control a mobile (iOS) emulator / simulator stream from inside Orca using the `orca` CLI. Use for taps, gestures, typing, hardware buttons, camera injection, permissions, accessibility tree, and more — all while seeing the live view in Orca's emulator pane. Prefer this over raw `npx serve-sim` or direct simctl when running agents inside Orca (the orca surface handles device scoping, helper lifecycle, and worktree context). Complements the orca-cli skill for terminals, worktrees, and the built-in browser.

Use when adding or editing a GitHub Actions workflow that pushes a container image to a registry (ECR/ghcr/Docker Hub via build-push-action) or dispatches a production deploy (a `commit_state_update` repository_dispatch to PostHog/charts). Those run from a single canonical deploy repo, gated by the CD_DEPLOY_ENABLED variable. Does NOT apply to workflows that publish GitHub releases, npm, crates, or Homebrew — those stay on the public repo.

Build, launch, inspect, and drive iOS apps with the repository-configured XcodeBuildMCP server. Use on macOS for iOS Simulator builds, focused native test runs, semantic UI automation, screenshots, logs, or debugging, including T3 Code Mobile verification.

Install and configure Markstream streaming Markdown renderers for Vue, React, Svelte, Angular, Nuxt, and Vue 2 applications. Use for package selection, minimal peer dependencies, CSS order, SSR boundaries, streaming mode, and renderer setup.

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).

Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit apps. Also custom components, st.components.v2, HTML/JS/CSS work. Discovers and loads version-matched reference docs from the user's installed Streamlit (>=1.57). Triggers: streamlit, st., dashboard, app.py, beautify, style, CSS, color, background, theme, button, widget styling, custom component, st.components, CCv2, session state, performance, cache, fragment, slow rerun, deploy.

Bot-channel end-to-end verification for LobeHub — drives the real native chat apps (Discord / Slack / Telegram / WeChat / Lark / QQ / iMessage) via osascript or the iMessage bridge, on macOS. Extends the generic agent-testing skill for bot surfaces. Triggers on 'test bot', 'bot test', 'test in discord', 'test in telegram', 'test in slack', 'test in wechat', 'test in weixin', 'test in lark', 'test in feishu', 'test in qq'.

Mobile specialist for Flutter, React Native, and Swift native iOS development. Use for mobile app, Flutter, Dart, React Native, Swift, SwiftUI, iOS, Android, Riverpod, swift-openapi-generator, and widget work.

Mobile specialist for Flutter, React Native, and Swift native iOS development. Use for mobile app, Flutter, Dart, React Native, Swift, SwiftUI, iOS, Android, Riverpod, swift-openapi-generator, and widget work.

Always use browser-harness for any web interaction: automation, scraping, testing, or site/app work.

Backend specialist for APIs, databases, authentication with clean architecture (Repository/Service/Router pattern). Use for API, endpoint, REST, database, server, migration, and auth work.

Backend specialist for APIs, databases, authentication with clean architecture (Repository/Service/Router pattern). Use for API, endpoint, REST, database, server, migration, and auth work.

Systematic Python debugging workflow for spreadsheet tasks to isolate environment issues from script logic

Workaround for executing Python code with external packages when sandbox fails

Four-step recovery workflow for code execution failures when inline Python fails

Debug Python script execution failures by capturing full output with exit codes and verifying working directory before file operations

Debug Python scripts with proper error surfacing and working directory verification

Debug Python script execution failures by capturing full tracebacks and verifying working directory

Systematic workflow for auditing TypeScript codebases for import hygiene issues (value vs. type imports, duplicates), missing base class extensions, and incomplete barrel file re-exports, with actionable fix patterns.

A resilient workflow for running TypeScript compile checks (tsc --noEmit) that falls back gracefully when npx or direct binary invocations fail, and distinguishes pre-existing errors from newly introduced ones.