代码审查 / GitHub MCP 推荐

启动 GStack Browser——内置侧边栏扩展、可由 AI 控制的 Chromium。

把真实 Chromium 浏览器中的 cookie 导入到无头浏览会话。（gstack）

部署后的金丝雀监控。（gstack）

设计咨询：理解你的产品、调研同类竞品，提出完整设计体系（美学、字体排印、色彩、布局、间距、动效），并生成字体与配色预览。（gstack）

把最近一次成功运行的 /scrape 流程固化为磁盘上的常驻 browser-skill。（gstack）

仅出具报告的 QA 测试。（gstack）

设计收尾：生成贴近生产质量、原生支持 Pretext 的 HTML/CSS。（gstack）

Install and operate Everything Claude Code (ECC) on the DeepSeek Harness (DSH): native skill roots (~/.dsh/skills, .agents/skills), the @deepseek-ai/dsh-hooks-claude-code bridge for command hooks, bare-insert patch mounting, generator usage, event-support limits, and update workflow. Use when setting up ECC on DeepSeek Harness, wiring ECC hooks into a DSH profile, or debugging why ECC skills or hooks do not appear in a DSH session.

Lint ECC skills for Codex/Cursor-safe frontmatter and Claude-only substitutions before a skill PR.

Lint ECC skills for Codex/Cursor-safe frontmatter and Claude-only substitutions before a skill PR.

Verify a local agent API, temporary gateway tunnel, and remote sandbox callback with a tool-free task, then restore the original app connection.

Run the ECC engineering process retroactively against an existing project slice. Audit current state, reconstruct past decisions, produce a four-axis gap register (thinking, coding practice, missing features, technology selection), then execute fixes forward through the plan-TDD-review pipeline. Use when adopting ECC mid-project, taking over an inherited codebase, or asking what was missed and what would have been built differently from day one.

Run a six-phase verification of a Claude Code session's work — build, type check, lint, tests with coverage, security grep, and diff review — then produce a PASS/FAIL verification report. Use when verifying work after completing a feature or refactor, before creating a PR, or when quality gates must pass.

Cut a milestone release: the release issue, the preparation PRs on v2/main (audit, changesets Version Packages, Python CalVer), the pure v2/main to main merge PR with its release ledger, then the GitHub Release a maintainer publishes.

当用户需要收入运营、线索生命周期管理或市场到销售的交接流程支持时使用。用户提到 RevOps、revenue operations、线索评分、线索路由、MQL、SQL、pipeline stages、deal desk、CRM 自动化、marketing-to-sales handoff、数据清洗、线索没有流转到销售、pipeline 管理、线索资格判定，或“市场何时该交接给销售”等场景时也适用。凡涉及连接市场与收入的系统和流程均可使用。冷邮件触达见 cold-email，邮件序列营销见 emails，定价决策见 pricing。

通过 gws CLI 或 Python 访问 Gmail、Calendar、Drive、Docs、Sheets。

使用 python-pptx 创建、读取与编辑 .pptx 演示文稿。

用于 SPA 路由与页面 segment：Web/桌面/移动/弹窗路由、重定向，以及 src/routes 到 features 的边界。

部署并配置 LangBot 实例——Docker / Docker Compose、Kubernetes、config.yaml 模型、Box 沙箱运行时、插件运行时，以及全局 API key。在生产或自托管环境中安装、部署、升级或配置 LangBot 时使用。触发语包括 deploy langbot、langbot docker、langbot compose、langbot kubernetes、langbot config.yaml、langbot box runtime、langbot global api key。

FastGPT 的 Docker Compose 自托管部署流程。当用户要求 AI 智能体参照 /deploy/SKILL.md 用 Docker 部署 FastGPT 时使用，包括创建空的 fastgpt 目录、以非交互模式运行安装脚本、启动 Docker Compose、监控服务健康、排查 compose 问题，并返回访问地址、root 账号凭据与后续步骤。

Announcement kit for a Folo release - the X post with the highlights, its reply with the release links, a one-sentence quote line for the second account, and a 1080p promo video rendered from real app captures. The desktop and mobile release skills end with it; also use it when the user asks for promo material for a release.

Run and diagnose existing Harbor or FrontierHarness evaluations against local production LobeHub or LobeHub Cloud, on a local Docker host, SSH worker, or Runta. Use for eval infrastructure, target preflight, lh CLI injection, Harbor smoke or job runs, resume, and failure triage. Excludes authoring Harbor tasks and product acceptance.

Render a token-usage stat card from local Claude Code, Codex, Gemini CLI, and OpenCode session logs and commit it into the repository as a file. Use when someone wants a current usage figure in a README, or asks for a shareable card of their coding-agent activity.

Optimize LLM prompt caching hit rate to reduce API costs and improve latency. Analyzes prompt structure, identifies cacheable vs non-cacheable content, and recommends restructuring to maximize cache reuse. TRIGGER when: user says "prompt cache", "cache hit rate", "reduce LLM cost", "optimize token usage", "cheaper LLM calls", or asks about prompt caching strategies for OpenAI/Anthropic/other providers. DO NOT TRIGGER when: user just wants to optimize a single prompt's quality (use prompt-optimizer instead), or asks about general caching infrastructure.

Design or change REA investigation tools, CLI/MCP contracts, provider capabilities, and Evidence semantics.

Security hardening guidance for AI agent frameworks that process untrusted content, invoke tools, write workspace files, manage runtime identifiers, or handle credentials. Use when building or reviewing an agent runtime, autonomous worker, tool gateway, memory service, or multi-tenant agent deployment. Do not use for general web application security or offensive testing.

为 AI Agent 加入 x402 支付执行能力，支持按任务预算、支出管控与非托管钱包。通过 agentwallet-sdk 支持 Base，通过 OKX Payments / OKX Agent Payments Protocol 支持 X Layer。当 Agent 需要自行付费，并需要按任务预算、支出管控与非托管钱包时使用。

将 x402 支付执行添加到 AI 代理中——通过 MCP 工具实现每任务预算、支出控制和非托管钱包。当代理需要为 API、服务或其他代理付费时使用。

让 AI 代理执行 x402 支付：按任务限额、支出控制、非托管钱包。通过 agentwallet-sdk 支持 Base，通过 OKX Payments / OKX 代理支付协议支持 X Layer。

Create and configure hookify rules — markdown files with YAML frontmatter that match bash, file, prompt, or stop events by regex or conditions and show warn/block messages to the agent. Use when creating a hookify rule, writing hook rule syntax, configuring hookify, or adding pattern guardrails such as blocking dangerous commands, .env edits, or debug code.

Claude API / Anthropic SDK 参考——模型 id、定价、参数、流式输出、工具调用、MCP、agent、缓存、token 计数、模型迁移。触发条件：提示中出现任何 Claude/Anthropic 相关名称（Claude、Anthropic、Fable、Opus、Sonnet、Haiku 等）；用户询问 LLM 相关问题（定价/选型/限额/缓存）时不要凭记忆回答；或任务属于 LLM 类且未指明供应商。仅当明确针对其他供应商（OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama）时跳过。

Diagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (`gcloud alpha mldiagnostics monitored-events` / `hypercomputecluster.googleapis.com/v1alpha`) and 1-minute Cloud Monitoring system metrics (`kubernetes.io/node/accelerator/*`). Distinguishes hardware and network fabric throttling from workload resource bottlenecks (HBM capacity, host memory, or host CPU saturation). Use when TPU training throughput or duty cycle drops without crashing pods, when `PERFORMANCE_DEGRADATION` monitored events fire, or when triaging slow multi-slice training steps. Don't use for complete multi-slice XLA execution stalls with `HANG_DETECTED` logs (use gke-ai-troubleshooting-tpu-mxla-hang) or pod eviction/interruption restarts (use gke-ai-troubleshooting-jobset-interruption).

Draw diagrams for the Next.js docs in the style of the ones already published there: the light/dark PNGs an mdx references with `<Image srcLight="/docs/light/<name>.png" srcDark="/docs/dark/<name>.png">`. Use when a guide or API reference needs a new diagram or an existing one needs a change. Hand-written SVG from a primitives library, rendered by headless Chrome at 2x. No AI image generation.

Audit and reduce Next.js browser initial-load work. Use for slow route startup, oversized client bundles, duplicate browser dependencies, or features that can wait for interaction.

Optimize what selected Next.js client navigations include before the click under Partial Prefetching. Use after Cache Components and Partial Prefetching are adopted when the user wants selected URL-specific UI to be instant, wants reusable content to wait for navigation, or needs to choose between default, viewport, and intent prefetching. Requires Next.js 16.3+.

为 Next.js 创建 Git 分支、commit、push 和 GitHub pull request。当用户要求建分支、提交当前改动、开 PR 或草稿 PR、发布 pull request，或从 gh pr create / PR 模板问题中恢复时使用。涵盖 .github/pull_request_template.md、--body 格式、codex/ 分支命名以及 Codex 应用的 git 指令。

把已合并到 canary 的 Next.js pull request 回移植到更早的发布分支（如 next-16-2）。当用户要求 backport、cherry-pick 或为某 PR 号向旧 Next.js 版本开回移植 PR 时使用。流程包括定位已合并 PR 的 commit、从目标发布分支拉回移植分支、从 canary cherry-pick、验证并以发布分支为 base 开 PR。

在 Next.js 应用中开启 Partial Prefetching 并消化其给出的洞察。当用户要启用或接入 Partial Prefetching、切换 partialPrefetching 标志、用 export const prefetch = 'partial' 让路由接入、审计 Link prefetch={true} 行为、用 instant() 测试保护已预取的 UI，或解决 instant-link-prefetch-partial 与 instant-shell-url-data 洞察时使用。

在 Cache Components / PPR 下，为把 Next.js 路由做到即时导航设定 agent 循环，覆盖首次加载（hard navigation）与客户端导航（soft navigation）。把目标编码为一个失败的 @next/playwright instant() e2e 并逐路由跑绿；固化的测试随后可防回归。当需要让某路由导航即时（static shell 立即 commit）、修复 static shell 未被预渲染/服务/预取的路由、扩大 static shell 或修复首屏缓慢、诊断是哪个 Suspense boundary 让路由无法进入 static shell，或为某个路由编写 instant() e2e 守卫时使用。需要 Next.js 16.3+ 且启用 cacheComponents；版本过旧则先升级。

Diagnose GKE Cloud TPU multi-slice training hangs (Megascale `HANG_DETECTED` logs and hang monitored events) using the ML Diagnostics `Megascale XLA (MXLA) Hang Analyzer` (`gcloud alpha mldiagnostics monitored-events`) and 1-minute Cloud Monitoring multi-slice latency metrics (`kubernetes.io/container/multislice/*`). Distinguishes XLA compiler/HLO launch divergence and host data-input stalls from TPU chip, SparseCore, ICI, or network fabric faults. Use when multi-slice TPU training jobs freeze without progressing steps, emit `HANG_DETECTED`, or stall in collective operations. Don't use for gradual step-time throughput drops without hangs (use gke-ai-troubleshooting-tpu-performance-degradation) or pod preemption/eviction restarts (use gke-ai-troubleshooting-jobset-interruption).

按 Metabase 编码标准与最佳实践编写 TypeScript 和 JavaScript 代码。在开发或重构 TS/JS 代码时使用。

轮询 RSS、JSON API 与 GitHub，并以水位线去重。

GitHub 供应链取证：恢复、IOC 提取与报告。

Find evidence-backed simplifications in DeepSeek Harness code, APIs, configuration, tests, and prose; write or consolidate proposals, identify small inline cleanups, or assess simplifications from another branch. Use for removing dead, duplicated, speculative, or unnecessarily maintained behavior and infrastructure.

在调查或优化 DeepSeek Harness 性能、设计贴近真实的合成基准或 CI 性能门禁、剖析长会话或 Web 响应速度，或把性能 PR 的证据转化为经测量且不改变行为的修复时使用。

设计、评审并诊断 DeepSeek Harness 中可能因 CI 并发、宿主机共享资源、时钟、进程全局状态、子进程、网络监听或异步销毁而非确定性失败的测试与 fixture。在新增或修改存在此类风险的测试、排查 flaky CI、评审测试隔离时使用；准备提交的命令选取请另行使用 dsh-pre-push-checks。

用于向 Ghost 添加新的私有(开发者实验)feature flag,包括后端注册与设置界面开关。

Simplification audit or authorized codebase simplification whose stated objective is to remove accidental complexity. Use for evidence-backed deletion or consolidation of dead code, duplicate state, redundant APIs or layers, ownerless abstractions, obsolete compatibility or design records, and over-engineering in any language; also use for 代码简化 or 熵回收. Do not use for general code review, onboarding, style-only refactoring, or performance tuning.