Skill 与 AgentSKILLS & AGENTS· MULTI-AGENT

wind-comic

ChrisChen667788/wind-comic

Multi-agent AI pipeline that turns one line of text into a finished short-form drama: script, cinematic storyboards, character-consistent video. Provider-agnostic (OpenAI/Claude, MJ, Minimax, Veo/Sora, fal, ComfyUI). MIT.

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: 未确认Not confirmed
已识别的要求Documented requirements: API key · Local runtime
许可LICENSE: MIT

打开仓库Open repository 官网Homepage

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

Docker

docker run -p 3100:3100 -e MOCK_ENGINES=1 -e JWT_SECRET=demo -e NEXTAUTH_SECRET=demo \

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

需检查Needs review

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

11 OCT 202611 OCT 2026

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/ChrisChen667788/wind-comic
原始数据哈希Raw data hash: c52ee4b7fbd6fe436f96ec849c0e6fe1
解析时间Parsed at: 2026-10-11T23:37:29.876Z
最后一次验证Last verified: 2026-10-11T22:11:29.227Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:play:repo:video-generation
分类来源Category source: rules
焦点Focus: web · play · motion · design (6)

静态扫描STATIC SCAN

01控制浏览器Controls a browserreadme

Real puppeteer captures of the running app (`node scripts/capture-v12.mjs`). 核心迭代:

02读取 API KeyReads an API keyreadme

- `HAPPYHORSE_API_KEY` (or reuse `VECTORENGINE_API_KEY`) — **HappyHorse 1.1** (Alibaba). Joint video+audio in a single pass; top-5 on both A

03控制浏览器Controls a browser.agents/skills/embedded-captions/SKILL.md

- **Node-first; two Python touchpoints via `uvx` (no manual installs):** transcription runs WhisperX through `uvx` (word-level timings; fall

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [],
  "apiKey": "提议,`OPENAI_IMAGE_ENABLED` / `GEMINI_API_KEY` 门控、原生 i2i 接角色一致性契约);**多集连续生成补上「剧情记忆」**",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 9,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 0,
      "productivity": 0
    },
    "primary": "skill-agent",
    "secondary": "multi-agent"
  },
  "localRuntime": "/ Qwen / Kimi / OpenRouter / Ollama local — all work) | --- ## 🚀 Highlig",
  "skillMdTotal": 14,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 3,
    "media": 8,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 1,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "14 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "skills/ directory with 8 markdown files",
      "weight": 0.75
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    ".agents/skills/design-taste-frontend/SKILL.md",
    ".agents/skills/embedded-captions/SKILL.md",
    ".agents/skills/full-output-enforcement/SKILL.md",
    ".agents/skills/high-end-visual-design/SKILL.md",
    ".agents/skills/hyperframes/SKILL.md",
    ".agents/skills/product-launch-video/SKILL.md",
    ".agents/skills/redesign-existing-projects/SKILL.md",
    "skills/chase-action/SKILL.md",
    "skills/costume/SKILL.md",
    "skills/dialogue-coverage/SKILL.md",
    "skills/inner-monologue/SKILL.md",
    "skills/screenwriter/SKILL.md",
    "skills/suspense/SKILL.md",
    "skills/sweet/SKILL.md"
  ],
  "skillMdFetched": 14
}