Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
当用户要求创建视频、新建或继续项目、推进下一步、检查进度、完成或导出时,编排 ArcReel 视频项目。用于端到端工作流请求,不用于仅编辑某个现有产物。
$ npx skills add ArcReel/ArcReel --skill video-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArcReel/ArcReel video-workflow --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-workflow .claude/skills/video-workflow && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-workflow" agent skill from https://github.com/ArcReel/ArcReel/tree/main/skills/video-workflow into .claude/skills/video-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-workflow", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ArcReel/ArcReel/tree/main/skills/video-workflowType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ArcReel/ArcReel --skill video-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArcReel/ArcReel video-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-workflow .agents/skills/video-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-workflow" agent skill from https://github.com/ArcReel/ArcReel/tree/main/skills/video-workflow into .agents/skills/video-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-workflow", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ArcReel/ArcReel --skill video-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArcReel/ArcReel video-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-workflow .cursor/skills/video-workflow && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-workflow" agent skill from https://github.com/ArcReel/ArcReel/tree/main/skills/video-workflow into .cursor/skills/video-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-workflow", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ArcReel/ArcReel.git --path skills/video-workflow--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ArcReel/ArcReel --skill video-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArcReel/ArcReel video-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-workflow .gemini/skills/video-workflow && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-workflow" agent skill from https://github.com/ArcReel/ArcReel/tree/main/skills/video-workflow into .gemini/skills/video-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-workflow", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ArcReel/ArcReel video-workflowInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ArcReel/ArcReel --skill video-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-workflow .github/skills/video-workflow && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-workflow" agent skill from https://github.com/ArcReel/ArcReel/tree/main/skills/video-workflow into .github/skills/video-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-workflow", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ArcReel/ArcReel --skill video-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ArcReel/ArcReel video-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-workflow .opencode/skills/video-workflow && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-workflow" agent skill from https://github.com/ArcReel/ArcReel/tree/main/skills/video-workflow into .opencode/skills/video-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-workflow", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
video-workflow当用户要求创建视频、新建或继续项目、推进下一步、检查进度、完成或导出时,编排 ArcReel 视频项目。用于端到端工作流请求,不用于仅编辑某个现有产物。
Video Workflow is an agent skill from ArcReel/ArcReel. 当用户要求创建视频、新建或继续项目、推进下一步、检查进度、完成或导出时,编排 ArcReel 视频项目。用于端到端工作流请求,不用于仅编辑某个现有产物。
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/generation-modes.md`, `references/generation-results.md` and `references/plan-safety.md`).
It sits in Media & Creative, covering AI video generation. The repository describes itself as: AI Agent 驱动的开源可自部署视频工作台:将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿,支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video production. The licence is AGPL-3.0.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit dec992c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Workflow loads about 433 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 23 tokens; SKILL.md has 97 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ArcReel/ArcReel at commit dec992c, republished under its AGPL-3.0 licence (© ArcReel). 97 words, ~433 tokens.
.claude/skills/video-workflow/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.以已连接的 ArcReel MCP 服务作为项目状态的唯一来源。每次项目级工具调用都必须显式指定项目,不依赖本地项目文件或 Agent 宿主的工作目录。
get_workflow_plan。仅在用户已选定分集时传入 episode_id:项目详情 episodes[] 的排列即播出顺序,按用户说的第几集或标题找到那一集,传它的 episode 字段(集 ID,不是第几集)。对用户称呼一集用播出位置与标题。保留计划返回或要求的、仍然有效的临时选择。status.content)、问题和 next_action,不修改项目。workflow_plan.next_action 路由并执行该动作;next_alternatives 非空表示分岔,列出并列选项由用户选定。按需向对应的 ArcReel 工具传入 project、next_action.args、target 字段和非空 requested_ids。status.operations 中该操作的准入:admitted 就执行,不必等它成为下一步;refused 时把 reason 转述给用户并说明怎样补上。工具入口以同一判定拒绝时返回 operation_not_admitted,其 params.reason 与计划一致。operations 只陈述列出的操作;生成类入口沿用各入口的准入判定(ADR 0073),被拒时转述入口返回的理由。blockers 非空时展示阻断原因并停止修改项目。next_action.type 为 create_edit_timeline 时,调用 create_timeline(episode 取 next_action.args.episode_id,from 传 script)为该集新建剪辑时间线;为 none 且计划 steps 中 edit 为 completed 时,说明工作流已走完;其余 none 而没有阻断的情况,报告 status.issues。generation_batch 时,保留 batch_id,并按每次返回的 poll_after_seconds 调用 get_generation_batch,直到结果为 done: true。之后再调用 get_workflow_plan,按新的 next_action 路由。计划因已有任务返回 wait_for_task 时,等待其 poll_after_seconds 后再次调用 get_workflow_plan,最多执行 max_poll_attempts 次;达到上限后相同任务仍在运行,则报告其 task_ids 并停止。其他动作完成后直接刷新计划。仅在主题适用时读取对应参考:
© ArcReel, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/video-workflow of ArcReel/ArcReel.
Open the folder on GitHubat commit dec992c
Video Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Workflow this skillArcReel/ArcReel | 5.4k | — | ~433 | Automated safety check: Pass | AGPL-3.0 | |
| Video Generationbytedance/deer-flow | 83k | 4 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Shotseternityspring/reelbench-skills | 868 | 2 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 |
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
eternityspring/reelbench-skills
拉片:把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面. An agent skill from eternityspring/reelbench-skills.
itwanger/toBeBetterJavaer
Generate matched 3:4, 16:9, and 4:3 short-video cover images from toBeBetterJavaer video scripts or AI/Java technical topics.
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
cclank/lanshu-create-ai-presenter-video
Turn a topic or finished script into a complete, publish-ready explainer video — led by an AI presenter from an authorized adult presenter image, or performed in one of nine visual explainer styles…
ArcReel/ArcReel
PR AI review 收敛。用户或 team-lead 要求启动或继续审查—修复循环时使用;供本地实现者或受委派的 review-looper 调用,不用于 GitHub reviewer 产出审查意见或仅处理单条评论。
ArcReel/ArcReel
在撰写、改写、校对或审阅中文技术文档、产品文案、界面文案、Markdown 文档、API 说明、操作手册、故障排查或运维文档时使用。采用克制、准确、可扫读的中文技术写作风格;保留原文事实、限制和机器可读内容;按任务读取术语排版、API 状态文案、项目覆盖或受控中文技术写作参考。
ArcReel/ArcReel
Translate every dirty ArcReel documentation source into English and refresh the translation lockfile.
ArcReel/ArcReel
当用户要求把采用 JSON 提交后轮询协议的视频或图片供应商接入 ArcReel,或要求编写、验证、测试、保存自定义调用端点定义时使用。
ArcReel/ArcReel
把一个 Spec 的全部子 issue(或一组显式 issue)组建团队无人值守跑到全部合并或明确暂停. An agent skill from ArcReel/ArcReel.
ArcReel/ArcReel
根据最近的 git 改动,更新面向用户的文档(README 双语、入门教程、部署、剪映导出等)。手动调用. An agent skill from ArcReel/ArcReel.
Categories
当用户要求创建视频、新建或继续项目、推进下一步、检查进度、完成或导出时,编排 ArcReel 视频项目。用于端到端工作流请求,不用于仅编辑某个现有产物。. Video Workflow is an agent skill from ArcReel/ArcReel.
Video Workflow fits situations like: tasks that involve AI video generation.
Run `npx skills add ArcReel/ArcReel --skill video-workflow -a claude-code`. Or copy the skill folder (skills/video-workflow in ArcReel/ArcReel) into .claude/skills/video-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ArcReel/ArcReel --skill video-workflow -a codex`. Or copy the skill folder (skills/video-workflow in ArcReel/ArcReel) into .agents/skills/video-workflow in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ArcReel/ArcReel --skill video-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-workflow, .gemini/skills/video-workflow, .github/skills/video-workflow and .opencode/skills/video-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Video Workflow is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Video Workflow is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 433 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 768 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Video Workflow: Video Generation (bytedance/deer-flow, 83k stars), Video Shots (eternityspring/reelbench-skills, 868 stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars) and Seedance (songguoxs/seedance-prompt-skill, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ArcReel (a GitHub organization) maintains it in ArcReel/ArcReel, which has 5,352 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 8, 2026.
Source: ArcReel/ArcReel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.