Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Seedance Video Generation Extension
Orchestrate script-to-final-video production with a strict stage-gated workflow (outline → episode_plan → storyboard → storyboard_images → render), using See...
skill openclawclawhub Free
Orchestrate script-to-final-video production with a strict stage-gated workflow (outline → episode_plan → storyboard → storyboard_images → render), using See...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/build_subagent_task.py, scripts/concat_videos.py, scripts/orchestrate_story.py, scripts/prepare_storyboard.py, scripts/run_story.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- KKenny0
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Seedance Story Orchestrator (v0.2.0-phase1)
阶段性方案（Phase 1）： 上层编排：seedance-story-orchestrator 下层执行：seedance-video-generation/seedance.py 以“可审计、可恢复、可控推进”为第一目标。
Workflow（严格关卡）
固定阶段顺序： outline -> episode_plan -> storyboard -> storyboard_images -> render 规则： 每阶段执行后写入 checkpoint-{stage}.json，默认 confirmed=false 未确认时，run 会立即停止并返回： pending_confirmation_stage next_action 必须 confirm --stage <stage> 后再继续下一阶段
Prerequisites
Python 3.8+ seedance-video-generation skill（必须可访问 seedance.py） ARK_API_KEY FFmpeg（用于拼接最终视频）
Quick Start（推荐）
# 1) 运行到 render（会在每个关卡停下） python3 {baseDir}/scripts/run_story.py run \ --project-dir {baseDir}/outputs/my-project \ --input-file /path/to/story.txt \ --stage render # 2) 按提示确认阶段（示例） python3 {baseDir}/scripts/run_story.py confirm \ --project-dir {baseDir}/outputs/my-project \ --stage outline # 3) 查看整体状态 python3 {baseDir}/scripts/run_story.py status \ --project-dir {baseDir}/outputs/my-project
End-to-End（从剧本到成片）
# 首次运行（会停在 outline） python3 {baseDir}/scripts/run_story.py run \ --project-dir ./my-project \ --input-file ./story.txt \ --stage render # 逐关确认并继续 python3 {baseDir}/scripts/run_story.py confirm --project-dir ./my-project --stage outline python3 {baseDir}/scripts/run_story.py run --project-dir ./my-project --stage render python3 {baseDir}/scripts/run_story.py confirm --project-dir ./my-project --stage episode_plan python3 {baseDir}/scripts/run_story.py run --project-dir ./my-project --stage render python3 {baseDir}/scripts/run_story.py confirm --project-dir ./my-project --stage storyboard python3 {baseDir}/scripts/run_story.py run --project-dir ./my-project --stage render python3 {baseDir}/scripts/run_story.py confirm --project-dir ./my-project --stage storyboard_images python3 {baseDir}/scripts/run_story.py run --project-dir ./my-project --stage render python3 {baseDir}/scripts/run_story.py confirm --project-dir ./my-project --stage render 最终视频路径： ./my-project/videos/run-YYYYMMDD-HHMMSS/final-video.mp4
1) 非结构化输入（默认推荐：sub-agent-first）
# 先生成 sub-agent 任务 python3 {baseDir}/scripts/build_subagent_task.py \ --input-file /path/to/raw.txt \ --output {baseDir}/outputs/subagent-task.txt # 用 sessions_spawn 执行后，拿到结构化 JSON，再喂给 prepare python3 {baseDir}/scripts/prepare_storyboard.py \ --input-file /path/to/subagent-output.json \ --output-dir {baseDir}/outputs
2) 直接文本/JSON输入
python3 {baseDir}/scripts/prepare_storyboard.py \ --input-file /path/to/story.txt \ --output-dir {baseDir}/outputs
3) staged artifacts 输入
python3 {baseDir}/scripts/prepare_storyboard.py \ --staged-artifacts /path/to/staged-artifacts.v1.json \ --output-dir {baseDir}/outputs
Prepare
python3 {baseDir}/scripts/prepare_storyboard.py \ --input-file /path/to/story.txt \ --output-dir {baseDir}/outputs
Storyboard Images（Seedream）
python3 {baseDir}/scripts/seedream_image.py storyboard \ --storyboard /path/to/storyboard.draft.v1.json \ --output-dir {baseDir}/outputs/images
Render Videos（Seedance）
python3 {baseDir}/scripts/orchestrate_story.py run \ --storyboard /path/to/storyboard.draft.v1.json \ --output-dir {baseDir}/outputs/videos
Concat Final Video
python3 {baseDir}/scripts/concat_videos.py \ --run-dir {baseDir}/outputs/videos/run-YYYYMMDD-HHMMSS
Artifacts
主要产物： plan-*/storyboard.draft.v1.json plan-*/assets.v1.json plan-*/staged-artifacts.v1.json checkpoint-{stage}.json videos/run-*/result-index.json videos/run-*/run-summary.json videos/run-*/final-video.mp4
Schemas & References
references/storyboard-v1.schema.json references/assets-v1.schema.json references/staged-artifacts-v1.schema.json references/subagent-parser-contract.md docs/design-doc-v0.2.0-phase1.md docs/logic-flow-v0.2.0-phase1.md
Notes (Phase 1)
当前是阶段性方案：优先可控、可恢复、可审计 自动“回传最终视频到会话”不在本阶段强制实现（可在 Phase 2 增加） run_story.py 已内置混合日志 JSON 解析与严格关卡机制
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Docs
- SKILL.md
- scripts/build_subagent_task.py
- scripts/concat_videos.py
- scripts/orchestrate_story.py
- scripts/prepare_storyboard.py
- scripts/run_story.py