📚AI 知识库 MCP（Context7 / 文档检索）

Explains, optimises, writes, and documents SQL queries. Use when asked to explain a SQL query, optimise slow SQL, translate SQL to plain English for non-technical stakeholders, write a query from a natural language description, or produce query documentation. Produces plain-English explanations, annotated optimised queries, or a data dictionary covering output shape, assumptions, and known limitations. Works across PostgreSQL, MySQL, BigQuery, Snowflake, and standard SQL.

Discover and call MCP Server tools via the mcporter CLI. Use when your coordinator notifies you about new MCP tools, or when you need to call external APIs. Includes workflow for generating skill documentation for new MCP servers.

Use whenever creating, updating, editing, drafting, restructuring, or fixing documentation in the Actual Budget repo — specifically anything under `packages/docs/` (the Docusaurus site published at actualbudget.org/docs) or any change to `.md` / `.mdx` files in that package. Trigger for asks like "add a doc page for X", "update the FAQ", "write a guide for the new feature", "document this setting", "fix the docs about Y", "add a contributing page", or any work on the docs site, even when the user does not explicitly mention style, structure, or conventions. Actual's docs follow strict Docusaurus conventions (front matter, heading levels, image placement and naming, admonition syntax, Title Case, tone of voice, spelling allowlist) and writing them without consulting the project's style guide reliably produces output that fails review and needs to be redone.

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.

Voice, tone, and punctuation rules for prose, UI text, tooltips, error messages, comments, JSDoc, markdown, commit messages, and docs. Use when: "fix the tone", "rewrite this", "sounds like AI", "sounds corporate", or deciding whether punctuation earns its emphasis.

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?"

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?"

Goal-backed Step 2 of the CursorQB planning workflow. Use to decompose every main phase in Planner-docs/Main-Planing.md into detailed sub-plans under Planner-docs/Faz-<n>-Plans/ plus Sub-Planing-Index.md. Launched automatically as a Cursor goal via the define-goal skill and runs until ALL phases are covered - it does not stop after one phase. Invoke from cursorqb-planner Gate 1, or directly to (re)generate sub-plans. Only changes files under Planner-docs/.

Guided five-step (1, 1.5, 2, 3, 4), goal-backed project planning orchestrator with a repo-aware intake. Use when the user runs /cursorqb-plan or asks CursorQB to plan a project end to end - master plan, existing-project autopsy, phase decomposition, coverage audit, then optional implementation. Runs a repo-aware Step 1 intake, produces Planner-docs/Main-Planing.md, runs a Step 1.5 autopsy (cursorqb-autopsy) for existing projects, then gates into phase decomposition (cursorqb-subplanner), a coverage/quality audit (cursorqb-auditor), and a gated implementation step (cursorqb-implementer) - launched automatically as Cursor goals via define-goal. Validates each step with the bundled validator.

Goal-backed Step 1.5 of the CursorQB planning workflow - an existing-project autopsy. Use after Step 1 (or directly) to inspect an existing/partially built repository and write Planner-docs/Autopsy.md, a 13-section technical feedback report that enriches Step 2 sub-plans. Runs automatically for existing/non-empty repositories and is skipped for empty or nearly empty ones. Launched automatically as a Cursor goal via the define-goal skill; only creates/updates Planner-docs/Autopsy.md.

Goal-backed Step 3 of the CursorQB planning workflow - a quality, coverage, consistency, and readiness audit of the Step 2 sub-plans. Use to verify that Planner-docs/Faz-*-Plans/*.md and Sub-Planing-Index.md are faithful to Main-Planing.md, complete, ordered, well-structured, and ready for implementation. Launched automatically as a Cursor goal via the define-goal skill and runs until every phase and sub-plan is inspected; produces only Planner-docs/Sub-Planing-Audit.md and returns PASS / PASS_WITH_WARNINGS / BLOCKED. Safe to run standalone for re-audits.

Deploy a CSS/OpenSearch code-search MCP server on Huawei Cloud ECS from scratch, so that Claude Code (claude-glm) can search a GitHub repo's code and docs as native MCP tools. Use when the task is to provision a new Huawei Cloud CSS cluster and ECS, index a code repository into CSS, and expose it as a searchable MCP tool for AI coding agents.

Navigate unfamiliar code using GitNexus knowledge graph

Reviews all local changes in the repository for errors, styling compliance, unintended outcomes, and necessary documentation/test/sample updates. Generates a report and assists in fixing identified issues on-demand. Triggers on "adk-review", "review changes", "pr review", "check code style", "verify changes".

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

Wire a nao project's context folder to a remote nao instance (Cloud or self-hosted) so every push to `main` automatically runs `nao deploy` via GitHub Actions. Use when the user has a working local nao project versioned in Git and wants their team's deployed instance to always reflect the latest committed context. Covers `nao deploy` usage, the GitHub Actions workflow, organization API keys, GitHub Secrets, `.naoignore`, environment-variable references in `nao_config.yaml`, and create-vs-update behavior. Do not use for first-time project setup (use `setup-context`) or for `nao sync` automation that commits warehouse metadata back to the repo (covered in the docs' synchronization page).

Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Use when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.

S-tier SaaS dashboard and product UI reference. Use this skill when building application shells, data tables, settings panels, billing pages, dashboards, auth flows, admin tools, or any internal/customer-facing SaaS product UI. Inspired by Stripe, Linear, Vercel, Airbnb, Notion. Covers neutral-led design tokens, sidebar+content shells, dense data UIs, form-heavy configuration pages, command palettes, empty states, and the accessibility (WCAG AA+) bar these products clear.

Post-implementation review orchestrator. Launches 5 parallel background sub-agents: Oracle (goal/constraint verification), Oracle (code quality), Oracle (security), unspecified-high (hands-on QA execution), unspecified-high (context mining from GitHub/git/Slack/Notion). All must pass for review to pass. MUST USE after completing any significant implementation work. Triggers: 'review work', 'review my work', 'review changes', 'QA my work', 'verify implementation', 'check my work', 'validate changes', 'post-implementation review'.

Explains, optimises, writes, and documents SQL queries. Use when asked to explain a SQL query, optimise slow SQL, translate SQL to plain English for non-technical stakeholders, write a query from a natural language description, or produce query documentation. Produces plain-English explanations, annotated optimised queries, or a data dictionary covering output shape, assumptions, and known limitations. Works across PostgreSQL, MySQL, BigQuery, Snowflake, and standard SQL.

Review docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", or "check this page against the writing handbook".

Draft MongoDB MCP Server release notes for a new version by fetching the corresponding release from mongodb-js/mongodb-mcp-server and formatting them for the docs. Use when asked to draft or create MCP Server release notes.

将 MCP Server 的工具列表转换为 Skill 格式的结构化 Markdown 文档

PDF 文档解析。自动区分文字型 PDF 与扫描型 PDF，覆盖：文本/表格提取、多页全量扫描、嵌入图表 caption、单位感知数值计算。

FastGPT API 开发规范。重点强调使用 zod schema 定义入参和出参,在 API 文档中声明路由信息,编写对应的 OpenAPI 文档,以及在 API 路由中使用 schema.parse 进行验证。

Expert knowledge for pure CSS animations - lightweight, performant animations using CSS keyframes, transitions, and modern CSS features without JavaScript dependencies.

Use the pre-built code-review-graph knowledge graph for ANY cross-file task in this monorepo — exploring code, debugging symptom→root-cause, planning a safe refactor/rename, or reviewing a branch/PR. Reach for this BEFORE manual Grep+Read of call chains; results are 2-6x cheaper. Trigger on "who calls X", "what imports Y", "where is X used", "dependency chain", "blast radius", "trace this bug", "rename X across the codebase", "find dead code", "what would break if I change", "review this PR" — or any question that spans multiple files, even when Grep seems enough.

Discover and call MCP Server tools via the mcporter CLI. Use when your coordinator notifies you about new MCP tools, or when you need to call external APIs. Includes workflow for generating skill documentation for new MCP servers.

Discover and call MCP Server tools via the mcporter CLI. Use when your coordinator notifies you about new MCP tools, or when you need to call external APIs. Includes workflow for generating skill documentation for new MCP servers.

Incrementally refresh the LLM-generated design docs under docs/generated/design/. Use when the user asks to update, refresh, or regenerate the generated design documentation after source changes. Runs the three-stage operator loop defined in docs/generated/design/_meta/regenerate.md - (1) regenerate stale docs (Claude), (2) direct the user to run the non-Claude review, (3) apply remediation (Claude) - with explicit confirmation before stages 1 and 3.

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

Deploy interactive API documentation using Swagger UI with custom branding

Creates and rewrites Flue API reference documentation from package-visible TypeScript exports and audited source-adjacent JSDoc. Use when authoring concise reference pages under apps/docs/src/content/docs/api/ or reference pages such as reference/configuration.md. Do not use for narrative guides, tutorials, or automated maintenance checks.

Dockerfile optimization guidelines from official Docker documentation. This skill should be used when writing, reviewing, or refactoring Dockerfiles to ensure optimal build time, image size, security, and robustness. Triggers on tasks involving Dockerfile creation, Docker image builds, container optimization, multi-stage builds, build cache, or Docker security hardening.

Review docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", or "check this page against the writing handbook".

Generate wiki docs + Mermaid diagrams for any codebase.

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.

Write Chinese "数据库筑基课" Markdown articles for database architects, DBAs, and application developers. Use when the user provides a database foundation article title and references such as technical docs, product manuals, open-source repositories, DeepWiki pages, papers, source code, or related blog posts, and wants a rigorous, SVG-rich, practice-oriented GitHub-renderable Markdown article saved as a .md file.

TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling.

Always use this skill before authoring or editing a Toasty design document under docs/dev/design/

Discover and call MCP Server tools via the mcporter CLI. Use when your coordinator notifies you about new MCP tools, or when you need to call external APIs. Includes workflow for generating skill documentation for new MCP servers.

Discover and call MCP Server tools via the mcporter CLI. Use when your coordinator notifies you about new MCP tools, or when you need to call external APIs. Includes workflow for generating skill documentation for new MCP servers.

Mobile development knowledge reference covering iOS (SwiftUI), Android (Jetpack Compose), React Native, and Flutter. Use when building mobile apps, working with cross-platform frameworks, or implementing native UI patterns.

Python Web 框架 Debug 模式利用。当目标是 Flask/Django/FastAPI/Tornado 应用且开启了 Debug 模式时使用。当看到 Werkzeug Debugger 页面（交互式 Python console）、Django 黄色调试页面（Settings/Traceback）、FastAPI 自动文档(/docs /redoc)、或错误页面泄露了 Python 堆栈跟踪和源码路径时使用。Werkzeug debugger PIN 计算是 CTF 和实战中的经典考点——通过读取 /etc/machine-id 和 MAC 地址即可算出 PIN 码获取 RCE。任何 Python Web 应用的错误页面、/console 路径、或泄露了 Flask/Django/Werkzeug 版本信息时都应使用此 skill

Scan Bifrost HTTP controllers/handlers/integrations and validate OpenAPI API coverage, route methods/paths, parameters, request/response docs, and auth/security information. Use when asked to audit missing or incorrect APIs, compare controllers against docs/openapi, validate auth information, or fix API documentation drift. Invoked with /api-validator [scope] [--fix].

SQLiteCpp Doxygen standards and templates for public API docs and file headers.