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rw-recipe-full-setuprw 配方完整设置

Agent Skill

rw-recipe-full-setup 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

832

周安装

34

GitHub Stars

30

下载量

267
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:rw-recipe-full-setup(rw 配方完整设置)
来源仓库:https://github.com/runwayml/skills
仓库路径:skills/rw-recipe-full-setup
安装命令:
npx skills add https://github.com/runwayml/skills --skill rw-recipe-full-setup
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/runwayml/skills --skill rw-recipe-full-setup

简介

rw-recipe-full-setup 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 它适合围绕仓库状态、代码变更或协作事项进行整理,提升团队协作效率。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体调用方式。
  • 安装前建议核实权限范围、维护状态及是否涉及联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Full Runway API Setup

PREREQUISITE: Run +rw-check-compatibility first to ensure the project has server-side capability.

This recipe guides a user through the complete process of integrating Runway's public API into their project. It chains together the compatibility check, API key setup, and API integration skills.

Workflow

Phase 1: Compatibility Check

Use +rw-check-compatibility to analyze the user's project.

  1. Identify the project type (Node.js, Python, etc.)
  2. Verify server-side capability
  3. Check runtime version compatibility
  4. Look for existing Runway SDK installation

If the project is INCOMPATIBLE, stop and explain the options:

  • Add a backend (Express, FastAPI, etc.)
  • Use a fullstack framework (Next.js, SvelteKit, Nuxt, Remix)
  • Add serverless functions (Vercel Functions, AWS Lambda)
  • Create a separate backend service

If NEEDS CHANGES, help the user make the required changes before proceeding.

If COMPATIBLE, proceed to Phase 2.

Phase 2: API Key Setup

Use +rw-setup-api-key to configure credentials.

  1. Direct the user to https://dev.runwayml.com/ to create an account and API key
  2. Install the appropriate SDK (@runwayml/sdk for Node.js, runwayml for Python)
  3. Configure the RUNWAYML_API_SECRET environment variable
  4. Update .gitignore to exclude .env
  5. Remind about credit purchase requirement ($10 minimum)

Wait for the user to confirm they have their API key before proceeding.

Phase 3: Determine What to Integrate

Ask the user what they want to build. Based on their response, use the appropriate integration skill:

User wants...Skill to use
Generate videos from text+rw-integrate-video (text-to-video)
Animate images into video+rw-integrate-video (image-to-video) + +rw-integrate-uploads if local files
Edit/transform existing videos+rw-integrate-video (video-to-video) + +rw-integrate-uploads
Generate images from text+rw-integrate-image
Generate images with references+rw-integrate-image + +rw-integrate-uploads if local refs
Text-to-speech+rw-integrate-audio
Sound effects+rw-integrate-audio
Voice isolation/dubbing+rw-integrate-audio + +rw-integrate-uploads
Real-time conversational avatar+rw-integrate-characters + +rw-integrate-character-embed (React UI)
Avatar with domain knowledge+rw-integrate-characters + +rw-integrate-documents + +rw-integrate-character-embed
Multiple capabilitiesIntegrate each one, sharing the same client instance

Phase 4: Write the Integration Code

Based on the user's framework and needs:

  1. Create the API route/handler — server-side endpoint that calls Runway
  2. Add upload handling if the user needs to accept files from their users
  3. Add error handling — catch and handle task failures
  4. Handle output storage — remind user that output URLs expire in 24-48 hours

Phase 5: Test and Verify

Help the user:

  1. Run a test generation to verify everything works
  2. Check for common issues (missing env var, insufficient credits, wrong model)
  3. Confirm output is accessible

Decision Tree for Upload Requirements

When the user's workflow involves images or videos as input:

Does the input come from a public HTTPS URL?
├── YES → Pass the URL directly to the API
└── NO → Is it a local file or user-uploaded file?
    ├── YES → Use +rw-integrate-uploads to upload first, then pass runway:// URI
    └── NO → Is it small enough for a data URI? (< 5MB image, < 16MB video)
        ├── YES → Convert to base64 data URI
        └── NO → Use +rw-integrate-uploads

Important Reminders

  • Never expose the API key in client-side code. All API calls must happen server-side.
  • Output URLs expire. Always download and store generated content.
  • Credits are required. The API won't work without prepaid credits.
  • Rate limits exist. Rate limits exist. You should always check what is the rate limit before attempting concurrent generations.
  • Content moderation applies to both inputs and outputs. Safety-flagged inputs are non-refundable.
  • Be cost-conscious. Help users pick the right model for their budget. Credit cost can be found on https://docs.dev.runwayml.com/guides/pricing/

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.63%
按下载量换算98

Claude

26.54%
按下载量换算71

Cursor

18.72%
按下载量换算50

Gemini CLI

8.8%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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