Lightweight packaged frontend implementation guide for AI Dev Hub. Use for UI-heavy subtasks such as pages, dashboards, forms, landing sections, component composition, responsive layout, interaction polish, and frontend integration work that should stay aligned with the local project codebase.
Write code and integration guidance using Agora products. Covers RTC (video/voice, live streaming, screen sharing), RTM/signaling, Conversational AI voice agents, Agora CLI project workflows, Cloud Recording, Server Gateway, and token generation. Use for Agora, RTC, RTM, ConvoAI, `agora` CLI, `agora login`, `agora project create`, `agora project env`, `agora project doctor`, video calling, voice calling, screen sharing, recording, tokens, signaling, or ConvoAI requests across Web, React, Next.js, iOS, Android, Go, and Python. RULES: Use only skill reference files for Agora integration — do not web search for Agora docs. For ConvoAI demos or prototypes, always clone the official sample first — do not implement from scratch.
Build a day plan with carry-forwards and one critical item.
Scaffold a complete new API endpoint for the WealthWise Express API. Triggers when asked to "add an endpoint", "create a route", "build an API for <entity>", or scaffold any new REST resource end-to-end. Does not trigger for frontend-only tasks. --- Scaffold a complete new API endpoint for the WealthWise API following all project conventions. The entity/resource name is provided in the task prompt. ## Scope
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
Universal Server-Driven UI (SDUI) Engine for building JSON-driven React interfaces with Shadcn design quality. Use this skill for all ObjectUI development tasks including schema-driven page building, plugin development, component integration, testing, auth/permissions, data integration, i18n, mobile responsiveness, project setup, and console development. Triggers on any mention of ObjectUI, SchemaRenderer, JSON schemas, SDUI, metadata-driven UIs, or Object Stack ecosystem work.
Build, edit, test, and iterate on software projects with the looplet coder runtime.
Provides frontend programming guidelines based on ANX protocol, including catalog-based index lookup
Guide for AI agents to create new skills on the Ornn platform via AI generation through NyxID MCP meta tools
将前端 API 能力封装成 agentbay-cli 命令的标准化流程
Set up and configure Wavelet projects. Use when the user wants to add events, queries, or subscriptions to a wavelet.config.ts, integrate the Wavelet SDK or React hooks, or set up MCP for agent integration.
Public skill for installing, running, debugging, improving, and handing off a Paper Reader style product built with Next.js and FastAPI. Use when the user wants to work on a paper discovery and recommendation app with ranking cards, detail pages, and reproducibility evidence.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
