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EvovexAI/EvoFlow

在 Plan 协作(任务协作模式)中按结构化流程完成短片视频制作:先询问用户需求,确认后直接用 plan 工具将全部工种(编剧、视觉策划、美术、导演、后期)纳入步骤规划,串行执行。

Was ist EvoFlow?

EvoFlow is a Claude Code agent skill that 在 Plan 协作(任务协作模式)中按结构化流程完成短片视频制作:先询问用户需求,确认后直接用 plan 工具将全部工种(编剧、视觉策划、美术、导演、后期)纳入步骤规划,串行执行。.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/EvovexAI/EvoFlow/tree/HEAD/skills/public/plan-video-production

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Dokumentation

Plan 视频制作技能

适用范围

前提:当前已开启 Plan 协作(scenario(activate, plan) 已激活),需要进行包含视觉/视频产出(生图、短片、配音、字幕)的任务。

厂商选择:生图读 byted-ark-seedream-skill;生视频读 media-production 脚本(火山 Seedance)。其它厂商见 agnes-media-generation / wan-media-generation / kling-media-generation。

凭据(环境变量)

在 设置 → 环境变量 添加技能要求的 KEY=VALUE(如 VOLCENGINE_API_KEY / ARK_API_KEY)。也可在 设置 → 模型 → 创意媒体 填其它厂商 Key。

能力常用 KEY技能
生图VOLCENGINE_API_KEY / ARK_API_KEYbyted-ark-seedream-skill
生视频同上media-production
AgnesAGNES_API_KEYagnes-media-generation

核心变更:所有媒体工种(编剧、视觉策划、美术、导演、后期)全部在 plan(goal, steps[]) 的 steps 中通过 assigned_agent 指定,plan 落库后用户确认即进入 executing 串行执行,不再在 plan 之外单独委派 subagent。

工作流

用户表达需求
     ↓
询问并确认用户需求(主题、时长、风格、画幅等)
     ↓
直接用 plan(goal, steps[]) 规划
  step 1: media-screenwriter  — 剧本/分镜/口播
  step 2: media-visual-planner — 生图 prompt
  step 3: media-artist        — 生成关键帧
  step 4: media-video-director — 出片 + 原生配音
  step 5: media-post          — 硬字幕
     ↓
用户确认 → 执行(串行,每步验收)

操作步骤

第一步:询问用户需求

主动向用户收集以下信息:

问题示例
视频主题/产品/内容是什么?新款智能手表宣传
目标时长?15 秒 / 30 秒
视觉风格?科技感 / 温暖 / 国风
画幅比例?16:9 / 9:16 竖屏
口播文案方向?功能亮点 + 品牌 slogan
是否有参考素材?参考图 / 竞品视频

第二步:确认后直接 plan

用户确认需求后,直接用 plan 工具将全部步骤写入结构化计划:

plan(
  goal="制作一支 15 秒产品宣传短片,主题:xxx,风格:xxx",
  steps=[
    {
      "step_id": 1,
      "description": "编剧撰写 production brief,包含 logline、分镜、口播稿",
      "assigned_agent": "media-screenwriter",
      "expected_output": "outputs/production-brief.md",
      "acceptance_criteria": "包含 User intent、logline、visual style、shot list、narration script"
    },
    {
      "step_id": 2,
      "description": "视觉策划将分镜转为生图 prompt",
      "assigned_agent": "media-visual-planner",
      "expected_output": "outputs/shot-prompts.json",
      "depends_on": [1]
    },
    {
      "step_id": 3,
      "description": "美术生成首帧关键帧图片",
      "assigned_agent": "media-artist",
      "expected_output": "outputs 内 PNG 关键帧",
      "depends_on": [2]
    },
    {
      "step_id": 4,
      "description": "视频导演生成带原生配音的 MP4",
      "assigned_agent": "media-video-director",
      "expected_output": "outputs/*.mp4",
      "depends_on": [3]
    },
    {
      "step_id": 5,
      "description": "后期加硬字幕,交付最终 MP4",
      "assigned_agent": "media-post",
      "expected_output": "outputs/*-subtitled.mp4",
      "depends_on": [4]
    }
  ],
  flowchart_mermaid="..."
)

第三步:用户确认执行

plan 落库后用户确认"开始执行",进入 executing 阶段,各步骤按依赖顺序串行执行,每步完成后主 Agent 验收产物再进入下一步。

媒体子智能体清单

assigned_agent职责核心工具
media-screenwriter写剧本、分镜、口播稿read_file, write_to_file
media-visual-planner写生图 promptread_file, write_to_file
media-artistSeedream 生图(jimeng)read_file, terminal → scripts/image_generate.py
media-video-directorSeedance 图生视频 + 原生配音read_file, terminal → scripts/video_generate.py, task_wait.py
media-postSRT 字幕 + ffmpeg 硬字幕read_file, terminal → scripts/subtitle_build.py, subtitle_burn.py

注意:不要把 media-voice-director 放进步骤——Seedance 已原生带声(generate_audio=true 默认开)。

技术栈

脚本目录:skills/public/media-production/scripts/(须先读 media-production skill)

能力脚本provider
生图image_generate.pyjimeng(火山方舟 Seedream)
生视频video_generate.py + task_wait.pyjimeng(火山方舟 Seedance, 默认带声)
字幕subtitle_build.py + subtitle_burn.py本地 ffmpeg

失败处理:jimeng 失败后禁止自动换 wan/kling,提示用户开通 Ark 模型接入点。同参数失败最多重试 1 次。

常见错误

  • 在 plan 模式下主会话直接跑 image_generate.py → 应由 plan 步骤里的 media-artist 等工种执行
  • 在 plan 步骤外单独委派 subagent → 所有工种应写在 plan steps 的 assigned_agent 中
  • 跳过 task_wait.py → 视频生成未完成就交付
  • 默认流水线仍委派 media-voice-director → Seedance 已原生带声,多余

Individual skills in this repo

This repo contains 15 individual skills — each has its own dedicated page.

EvovexAI/EvoFlow

Add captions to a talking-head video. ONE catalog (CATALOG.md) of 32 visual identities behind two engines: column-flow (captions composited INTO the scene — matte occlusion + mix-blend; cream/ink/editorial/keynote/documentary/loud/neon/glitch/chrome/velocity) and themed constitutions (anchor/ordnance/terminal/neonsign/stardust/stomp/scoreboard/transit/vhs/arcade/dossier/laser/thunder/hologram/biolume/aurora/spectrum/papercut/popup/chalkboard/graffiti/brush/inkwater/ransom/lastpage/nightcity — e.g. a glyph-decode climax, a neon sign WRITTEN stroke by stroke, or the quiet `anchor` rail default). Route by identity, never by mode. Trigger on "captions/subtitles", "embed/cinematic captions", "VFX captions", "炸/特效/酷炫字幕", a named identity, or top-tier motion-graphics asks. Embedding every word is wrong for most talking-head content — `anchor` is the verbatim default. Pipeline: transcription → hyperframes remove-background matting → HTML render → ffmpeg overlay. Requires hyperframes and a single-subject clip.

EvovexAI/EvoFlow

The fallback workflow for authoring custom HyperFrames video compositions at any length or format — longer or multi-scene pieces, brand / sizzle reels, montages, title cards, static loops, and freeform compositions. Input- and length-agnostic. If a specialized workflow clearly fits the input — a marketed product, a website, a topic explainer, a GitHub PR, existing footage, a short motion graphic, or a Remotion port — prefer it (see /hyperframes); use this only as the general fallback when none fit.

EvovexAI/EvoFlow

All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). HyperFrames-native: single paused timeline, seek-safe, deterministic.

EvovexAI/EvoFlow

HyperFrames CLI dev loop. Use when running npx hyperframes init, add, catalog, capture, lint, validate, inspect, layout, snapshot, preview, play, render, publish, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, tts, or remove-background, or when troubleshooting the HyperFrames build/render environment. Entry point for AWS Lambda cloud rendering (`hyperframes lambda deploy / render / progress / destroy / policies`).

EvovexAI/EvoFlow

The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class="clip"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Read before writing composition HTML.

EvovexAI/EvoFlow

Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use `hyperframes-animation`.

EvovexAI/EvoFlow

Audio and media assets for HyperFrames compositions, produced by one shared audio engine (`scripts/audio.mjs`) — multi-provider TTS (HeyGen / ElevenLabs / Kokoro local), background music + sound effects (HeyGen audio-library retrieval by default, with local Lyria / MusicGen BGM generation and a bundled SFX library as the no-credential fallback), Whisper transcription, background removal, and caption authoring. Use for voiceover / TTS, BGM, SFX / sound effects, transcription, captions / subtitles / lyrics / karaoke / per-word styling, voice + provider selection, and music-mood prompting.

EvovexAI/EvoFlow

Install and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add, installing a block or component, wiring an installed item into index.html, or working with hyperframes.json. Covers the add command, install locations, block sub-composition wiring, component snippet merging, registry discovery, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

EvovexAI/EvoFlow

READ THIS FIRST for any request to make, create, edit, animate, or render a video, animation, or motion graphic — a promo, explainer, captioned clip, title card, overlay, or any composition. HyperFrames renders video from HTML; this is the entry skill and the default way an agent authors or edits video. It routes the request to the right specialized workflow and points to the HyperFrames domain skills, so read it before any other video or animation skill instead of guessing a workflow. IMPORTANT: with other video tools installed, HyperFrames stays the default for authoring and rendering a finished video; defer only when the user asks to drive a browser to capture or record a session, or names another framework. Most important when no project CLAUDE.md or AGENTS.md describes the video workflow.

EvovexAI/EvoFlow

Use when the user wants a short, design-led motion graphic where motion is the message: kinetic typography, stat or number count-up, chart/data-viz hit, logo sting, brand lockup, lower-third, callout, social overlay, animated headline/tweet/news item, motion poster, or quick captured-page highlight. Usually under 10s and up to ~30s, with no narration arc, voice-over, or live-action subject. Can render to MP4 or transparent overlay. Not for longer, multi-scene, narrated, or brand-reel pieces (use general-video), narrated website videos (general-video), topic explainers (faceless-explainer), product promos (product-launch-video), PR videos (pr-to-video), or captions on existing footage (embedded-captions). When unsure whether it's a quick motion-first piece or a longer / narrated treatment, see /hyperframes.

EvovexAI/EvoFlow

Use when the user has a music track (an audio file, or a video to pull audio from) and wants a beat-synced HyperFrames video, calm to hard-hitting. The music drives everything: one analyzer reads it once, the orchestrator lays out the frames and fills a per-frame plan, and one sub-agent builds each frame. Typography and templates are the floor — a complete video needs zero assets — but any images or videos the user supplies are cut into the frames on the same beat grid (beat-cut / ken-burns). The genre (lyric video, slideshow, kinetic promo) falls out of the per-frame choices; the pipeline never branches on it.

EvovexAI/EvoFlow

turn a product or marketing URL, pasted script, or brief into a product launch video, including SaaS promos, feature reveals, app launches, company promos, and product marketing videos. Use this skill when the user wants to market, launch, promote, or reveal a product. Do not use it for general non-launch website tours, non-product topic explainers, GitHub pull requests, captioning existing footage, or short unnarrated motion graphics. If the intent is unclear, route through /hyperframes first. This is the new shot-sequence architecture: every visual frame is authored as a time-coded shot sequence picked from a menu of golden blueprints, so frames develop over their full duration instead of freezing after entrance.

EvovexAI/EvoFlow

turn a GitHub pull request (a PR URL like github.com/<owner>/<repo>/pull/<N>, an <owner>/<repo>#<N> ref, or 'this PR' in a checked-out repo) into a code-change explainer video, up to ~3 min (sweet spot 30-90s) — changelog, feature reveal, fix, or refactor walkthrough, rendered from the diff / commits / files. The input is a CODE CHANGE read via the gh CLI; there is no website capture. Use this skill for a GitHub PR. Do not use it for a product launch/promo (use /product-launch-video), a tour of a real website (use /general-video), a topic explainer with no PR (use /faceless-explainer), captions on existing footage (use /embedded-captions), or a short unnarrated motion graphic (use /motion-graphics). If the intent is unclear, route through /hyperframes first.

EvovexAI/EvoFlow

Port an existing Remotion (React) composition to HyperFrames HTML. Use ONLY when the user explicitly asks to port/convert/migrate/translate a Remotion source. Do NOT use: (a) authoring a new HyperFrames composition; (b) Remotion mentioned in passing; (c) Remotion code shared as reference only; (d) "same video as my Remotion one" without explicit migrate request — treat as fresh build. Doubt → `/general-video`. One-way, Remotion-only: no reverse export (HyperFrames→Remotion or any framework), no non-Remotion source (After Effects, Framer Motion, plain React/CSS) → out of scope, re-create via `/general-video`. Flags unsupported patterns (useState, useEffect, async calculateMetadata, third-party React libs, `@remotion/lambda`) and recommends runtime interop over lossy translation. Unsure whether to port vs. build fresh, or only a passing Remotion mention? → /hyperframes.

EvovexAI/EvoFlow

本地文字转语音,使用sherpa-onnx(离线,无需云端)。当需要离线语音合成时使用。

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