所有 Skills

找到 8165 个 Skills

netlify-ai-gateway

Use OpenAI, Anthropic, Google Gemini, or OpenRouter models from Netlify Functions or Edge Functions without managing provider API keys or accounts — the gateway injects credentials automatically. Reach for this when you add an AI chatbot or completion endpoint, generate images or text with Gemini/GPT/Claude, summarize form submissions with AI, build an LLM-backed API route, stream a long AI generation, or wire up any server-side AI provider call on Netlify. Covers provider SDK setup, injected env vars, model availability, rate limits, credit costs, streaming for long generations, and local dev with netlify dev or the Vite plugin.

netlify

获取

netlify-identity

34security

Add authentication and user management to a Netlify site with @netlify/identity — signup/login/logout, OAuth social login (Google/GitHub/GitLab/Bitbucket), server-side user verification in Functions, role-based access control (RBAC), admin user management, and Identity event hooks. Use when adding a login/signup flow, "add social login", gating content by user role, protecting a function or page behind auth, assigning roles at signup, customizing auth emails, or handling OAuth/confirmation/recovery callbacks. Not for locking an entire site to a company/team — that is netlify-access-control.

netlify

获取

netlify-database

34database

Zero-config Postgres for Netlify apps via @netlify/database — querying data from Functions/Edge Functions, writing schema migrations, setting up Drizzle ORM, local dev with netlify dev, database branches for deploy previews, and migrating an existing Postgres project onto Netlify. Use when adding a database, building a contact form or CRUD API, writing SQL migrations, wiring up Drizzle, running netlify database commands, testing with a local Postgres, or switching from Neon/Supabase/RDS to Netlify Database.

netlify

获取

skill-creator

34prompting-reasoning

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

netlify

获取

instagram-content-generation

34design-ui

Generate Instagram content using each::sense AI. Create feed posts, stories, reels covers, carousels, quote graphics, and brand visuals optimized for Instagram's formats and engagement best practices.

eachlabs

获取

wot-ui-v2

34frontend

回答、生成、重构、排查 wot-ui v2 相关代码时使用。关键词：wot-ui、uni-app、Vue3、wd-、ConfigProvider、useToast、useDialog、Form、Popup、theme、llms-full。适用于组件选型、API 查询、示例页面生成、主题定制、常见坑排查。

wot-ui

获取

maplestory-skill-maker

34design-ui

Create advanced MapleStory Worlds player attack and movement skills and preserve the project's monster combat presentation. Use for direct/projectile attacks, hit/die animation, damage-skin death hold, knockback pulses, monster ATTACK range/timing, custom player animation and cast locks, double jump, teleport/blink, cooldowns, hotkeys, or updates to the player/monster skill pipelines.

msw-git

获取

nblm

33research-knowledge

使用此技能，通过 Claude Code 直接查询您的 Google NotebookLM 笔记本，获取基于来源、带有引用的 Gemini 答案。支持浏览器自动化、库管理和持久化认证。通过仅返回文档内容，大幅减少幻觉。

magicseek

获取

msw-planning

33research-knowledge

MSW (MapleStory Worlds) game-planning mode — for BOTH starting a brand-new game from scratch AND continuing/resuming an in-progress prototype. Narrow the idea with guided questions, ground it in the MSW genre catalog (3 map types, ~180 core mechanic tags, build-effort hints), and produce or advance an implementation-ready GDD / roadmap (markdown). Trigger proactively (even without the word 'planning') whenever the user wants to decide WHAT to build, scope an MVP, or continue/resume a phased build — INCLUDING when a Docs/*-GDD.md or *-Phase*.md already exists and the user says to continue: do NOT treat that as plain implementation and jump straight into the phase doc; a continue/resume runs through this skill's resume flow first. Match triggers by intent, not exact wording — variants like 'what now?', 'where were we?', and their equivalents in ANY language fire it too. A comprehensive build request spanning multiple implementation pieces, made while no GDD exists, is ALSO a planning trigger — not a plain implementation request, with NO 'small/simple game' exception; implementing that without a plan is the exact failure mode this skill prevents. Triggers: 'plan a new game', 'GDD', 'what game should I make', 'scope an MVP', 'planning mode', 'continue my game', 'resume my game', 'what should I work on next', 'next task'. (Plans & manages the game's build across its milestones — GDD · standing milestone roadmap · phase plans · progress · revisions; does NOT write code — implementation (.mlua/.model etc.) uses msw-general/msw-scripting.)

msw-git

获取

writing-for-interfaces

33design-ui

Use when someone asks to write, rewrite, review, or improve text that appears inside a product or interface. Examples: "review the UX copy", "is there a better way to phrase this", "rewrite this error message", "write copy for this screen/flow/page", reviewing button labels, improving CLI output messages, writing onboarding copy, settings descriptions, or confirmation dialogs. Trigger whenever the request involves wording shown to end users inside software — apps, web, CLI, email notifications, modals, tooltips, empty states, or alerts. Also trigger for vague requests like "review the UX" where interface copy review is implied. Do NOT trigger for content marketing, blog posts, app store listings, API docs, brand guides, cover letters, or interview questions — this is a technical writing skill for interface language.

andrewgleave

获取

paddleocr-text-recognition

32research-knowledge

当用户需要从图片、照片、扫描件、截图或扫描版PDF中提取文字时，使用此技能。返回精确的机器可读字符串，包含行级文本和可选的边界框坐标。对中日韩文字、小字体和手写文字具有高准确率。触发词：OCR, 文字识别, 图片转文字, 截图识字, 提取图中文字, 扫描识字, 识字, 纯文字, plain text extraction, 坐标, 检测框, bbox, bounding box, image to text, screenshot, photo scan, recognize text。

aidenwu0209

获取

humanize

32writing-content

Transform AI-generated text into natural, human-like content that bypasses AI detectors like GPTZero, Turnitin, and Originality.ai. Uses credits based on word count.

humanizerai

获取

msw-scripting

32research-knowledge

Authoring MSW scripts (.mlua) plus integrated playtest and debugging. Covers mlua syntax, annotations (@Component/@Logic/@ExecSpace/@Sync), lifecycle, exec spaces, property sync, event system, file workflow, build-log inspection, error classification, and the test/debug loop. Keywords: script, mlua, lua, Component, Logic, annotation, ExecSpace, Sync, event, play, test, debug, lifecycle.

msw-git

获取

msw-ui-system

32design-ui

MSW `.ui` single entry point — design + component API + builder + runtime. Anchor/pivot/RectTransform, UIGroup/CanvasGroup hierarchy, layout recipes (HUD/popup/toast/menu/inventory/scroll-list), full API tables for ButtonComponent/TextGUIRendererComponent/SpriteGUIRendererComponent/ScrollLayoutGroup/GridView/TextInput/Slider/Mask/AvatarGUIRenderer + UI enums (AlignmentType/TextOverflowMode/ImageType/FillAmount), `.mlua` runtime patterns (popup open-close, toast, HP bar, GridView, drag, tab, cooldown, world nametag), UI-client-only caveats (nil on server, no RPC), `.ui`↔`.mlua` UUID auto-binding (write+injectBindings), resolution/safe-area/touch. UIBuilder (msw_ui_builder.cjs): all node types (empty/panel/text/sprite/button/slider/scrollLayout/textInput/group/mask/gridView/avatar/skeleton etc.), component add/replace/patch/remove, 13 anchor presets+stretch, auto-inject .mlua UUID bindings after write.

msw-git

获取

msw-painter

32writing-content

当 msw-search 找不到合适的精灵 RUID 时，直接用 SVG / HTML5 Canvas / HTML 代码绘制像素风格精灵，渲染为 PNG，并通过 msw-mcp 资源上传工具上传以获取精灵 RUID（如果未连接上传工具，则引导用户通过 Maker 注册）。支持两种风格模式：chunky pixel（复古/图标/瓦片风格）和 maple cartoon（冒险岛风格角色/NPC 风格）。触发词：直接绘制精灵、创建精灵、图像生成、自定义图形、像素艺术、卡通精灵、枫叶风格、Q版角色、画家、画精灵、制作图标、直接创建 NPC 图像、画史莱姆、自定义精灵。

msw-git

获取

msw-behaviourtree

32writing-content

Authors MSW `.behaviourtree` files end-to-end and maintains the project-specific authoring spec (`.behaviourDocs/bt-spec.md`). Scans every `.codeblock` whose paired `.mlua` extends `ActionNode`/`DecoratorNode`/`CompositeNode` to build a compact catalog of custom action/decorator/composite UUIDs, propertyKey names, and version-stamped MODNativeType strings. Then generates the full tree: RootNode → Nodes graph, Blackboard variables, nodeProperties wiring, and self-validates parent/child consistency. Triggers: 'create behaviourtree', 'new BT', 'add a behaviour tree', 'BT node graph', '비헤이비어 트리 만들어', '.behaviourtree 생성', 'SequenceNode SelectorNode', 'Blackboard variable', 'definitionId codeblock', 'startNodeId', 'build BT spec', 'refresh bt-spec', 'generate behaviourtree catalog', 'BT 스펙 생성', 'bt-spec.md 만들어', 'rescan BT nodes'.

msw-git

获取

physical-ai-neural-reconstruction

32writing-content

Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.

NVIDIA

获取

react-performance-optimization

32frontend

React performance optimization patterns using memoization, code splitting, and efficient rendering strategies. Use when optimizing slow React applications, reducing bundle size, or improving user experience with large datasets.

nickcrew

获取

convex-design

32frontend

Design and build reactive, type-safe, production-grade backends on Convex. Covers schema, queries/mutations/actions, indexes, auth, file storage, scheduling, real-time multiplayer, mobile backends, and LLM/agent workflows on Convex's one-platform stack.

cline

获取

site-specification

32design-ui

Extract comprehensive site specifications from simple descriptions. Use when analyzing a user's theme request to determine site type, audience, tone, layout requirements, and typography.

cline

获取

exa-search

32prompting-reasoning

Deep research powered by Exa. Use for lead generation, literature reviews, deep dives, competitive analysis, or any query where one search falls short, including phrases like 'research this', 'find everything about', 'find me all', or 'deep dive on'.

cline

获取

building-pydantic-ai-agents

32testing-qa

Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools/capabilities, defer capability loading, stream output, define agents from YAML, or test agent behavior.

cline

获取

getting-started

31research-knowledge

CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, building experimental conversational Flows with handle_turn()/chat(), or using {variable} interpolation.