Clipmivo Video
BarneyD66/clipmivo-tools
Create and manage AI video tasks through ClipmivoAI using its MCP server, CLI or REST API.
统一资产生成 skill:接受 --type=character|scene|prop|product,或不传自动扫所有 pending(缺 sheet)资源并按类型分发。当用户说“生成角色图”/“生成场景图”/“生成道具图”/“生成商品图”、想为新资产创建参考图、或有资产缺少 sheet 时使用。
$ npx skills add ArcReel/ArcReel --skill generate-assets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArcReel/ArcReel generate-assets --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/agent_runtime_profile/.claude/skills/generate-assets .claude/skills/generate-assets && 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 "generate-assets" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-assets into .claude/skills/generate-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-assets", 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/agent_runtime_profile/.claude/skills/generate-assetsType 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 generate-assets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArcReel/ArcReel generate-assets --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/agent_runtime_profile/.claude/skills/generate-assets .agents/skills/generate-assets && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "generate-assets" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-assets into .agents/skills/generate-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-assets", 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 generate-assets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArcReel/ArcReel generate-assets --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/agent_runtime_profile/.claude/skills/generate-assets .cursor/skills/generate-assets && 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 "generate-assets" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-assets into .cursor/skills/generate-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-assets", 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 agent_runtime_profile/.claude/skills/generate-assets--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 generate-assets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArcReel/ArcReel generate-assets --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/agent_runtime_profile/.claude/skills/generate-assets .gemini/skills/generate-assets && 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 "generate-assets" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-assets into .gemini/skills/generate-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-assets", 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 generate-assetsInstalls 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 generate-assets -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/agent_runtime_profile/.claude/skills/generate-assets .github/skills/generate-assets && 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 "generate-assets" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-assets into .github/skills/generate-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-assets", 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 generate-assets -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 generate-assets --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/agent_runtime_profile/.claude/skills/generate-assets .opencode/skills/generate-assets && 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 "generate-assets" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-assets into .opencode/skills/generate-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-assets", 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.
generate-assets统一资产生成 skill:接受 --type=character|scene|prop|product,或不传自动扫所有 pending(缺 sheet)资源并按类型分发。当用户说“生成角色图”/“生成场景图”/“生成道具图”/“生成商品图”、想为新资产创建参考图、或有资产缺少 sheet 时使用。
Generate Assets is an agent skill from ArcReel/ArcReel. 统一资产生成 skill:接受 --type=character|scene|prop|product,或不传自动扫所有 pending(缺 sheet)资源并按类型分发。当用户说“生成角色图”/“生成场景图”/“生成道具图”/“生成商品图”、想为新资产创建参考图、或有资产缺少 sheet 时使用。
Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering AI video generation. It works with Model Context Protocol. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 08ab3b3. 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.
Generate Assets loads about 902 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 229 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 08ab3b3, republished under its AGPL-3.0 licence (© ArcReel). 229 words, ~902 tokens.
.claude/skills/generate-assets/SKILL.md (or your agent's skills folder).为项目的角色、场景、道具、商品创建资产图,保证整个视频中视觉元素的一致性。 图像供应商由项目设置选择(不锁定具体 backend)。
Prompt 编写原则详见
.claude/references/generation-modes.md的"Prompt 语言"章节。
description 用叙事式段落,而不是关键词列表。description;最终交给图像 backend 的完整 prompt
(含布局 / 防崩短语 / 反向提示词)由 lib/prompts/prompt_builders.py 在 server 端拼好,
WebUI 与 Skill 走同一份真相源。missing(含登记了文件却读不到);stale 产物复用,不计入待生成。本体/衍生)与本体同批:本体也待生成时,本体图成功后衍生才提交;本体失败则衍生报 generation_dependency_failed,不提交。用连贯段落描述外貌、服装、气质,包含年龄、体态、面部特征、服饰细节。
示例:
"二十出头的女子,身材纤细,鹅蛋脸上有一双清澈的杏眼,柳叶眉微蹙时带着几分忧郁。身着淡青色绣花罗裙,腰间系着同色丝带,显得端庄而不失灵动。"
横版 16:9 三视图,纯白背景:正面 / 正侧(90° 侧视图)/ 背面水平排列。 三个面板中角色面部、发型、服装、配饰需保持完全一致。
用户填写 description 时只需关心外貌 / 服装等内容;布局由 builder 注入。
用连贯段落描述形态、光线、氛围,突出能跨场景识别的独特特征。
示例:
"村口的百年老槐树,树干粗壮需三人合抱,树皮龟裂沧桑。主干上有一道明显的雷击焦痕,从顶部蜿蜒而下。树冠茂密,夏日里洒下斑驳的树影。"
横版 16:9 单张环境全景建立镜头。
用连贯段落描述形态、质感、细节,突出能跨场景识别的独特特征。
示例:
"一块翠绿色的祖传玉佩,约拇指大小,玉质温润透亮。表面雕刻着精致的莲花纹样,花瓣层层舒展。玉佩上系着一根红色丝绳,打着传统的中国结。"
横版 16:9 单张道具资产图,纯净浅灰背景。
用连贯段落描述商品外观、品牌文字、配色、材质、比例与结构。
横版 16:9 单张商品资产图,纯净浅灰背景、均匀棚拍布光。
入队走 MCP 工具:
| 操作 | 工具 |
|---|---|
| 列出所有/某类 pending | mcp__arcreel__list_pending_assets({"type": "character"})(type 可省略) |
| 列出本集引用的 pending | mcp__arcreel__list_pending_assets({"episode_id": 3}) |
| 生成本集引用的全部 pending(含商品与衍生) | mcp__arcreel__generate_assets({"episode_id": 3}) |
| 生成所有 pending(四类各一轮) | mcp__arcreel__generate_assets({}) |
| 生成某类全部 pending | mcp__arcreel__generate_assets({"type": "character"}) |
| 生成指定多个 | mcp__arcreel__generate_assets({"type": "prop", "names": ["玉佩", "密信"]}) |
| 生成单个 | mcp__arcreel__generate_assets({"type": "scene", "names": ["村口老槐树"]}) |
| 生成单个商品 | mcp__arcreel__generate_assets({"type": "product", "names": ["保温杯"]}) |
| 生成衍生 | mcp__arcreel__generate_assets({"type": "character", "names": ["张三/战损"]}) |
episode_id 不与 type / names 同用;「本集引用了哪些资产」由服务端计算,与 Web 集层同一份名单。
结果按 requested / succeeded / failed / blocked / skipped 逐 ID 返回,ID 形如 character/张三(衍生为 character/张三/战损);
已失效但可复用的旧图进入 skipped,不会自动重生;
按每一项自带的 problem.code 与 problem.action 决定下一步,不要解析文本。
结构详见 .claude/references/generation-results.md。
missing 的资产lib.prompts.prompt_builders 注入布局 / 防崩 / 反向)。声明了原图却读不到时生成被拒(asset_original_missing),让用户重新上传原图或清掉原图字段character_sheet / scene_sheet / prop_sheet / product_sheet 路径用户对资产图提意见时先判断诉求类型,选错路径会推翻已满意的部分或丢掉预期外的改动:
mcp__arcreel__edit_images({"resource_type": "character", "edits": [{"id": "张三", "instruction": "把头发改成红色"}]})
保底图微调,一次可对同类型多个资产批量下发generate_assets 按更新后的 description 重新生成整图description / prompt——编辑后再触发 generate_assets 仍按原 description
重画,编辑效果只能从版本历史找回© 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
Just SKILL.md in agent_runtime_profile/.claude/skills/generate-assets of ArcReel/ArcReel.
Open the folder on GitHubat commit 08ab3b3
Generate Assets 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 |
|---|---|---|---|---|---|---|
| Generate Assets this skillArcReel/ArcReel | 5.4k | — | ~902 | Automated safety check: Pass | AGPL-3.0 | |
| Clipmivo VideoBarneyD66/clipmivo-tools | 142 | — | ~945 | Automated safety check: Pass | MIT | |
| ComfyUI Local DriverSlavaSexton/ComfyUI-Agent-Kit | 105 | — | ~12k | Automated safety check: Pass | Apache-2.0 | |
| Image Edit Workbenchhenjicc/Henji-AI | 254 | — | ~502 | Automated safety check: Pass | Apache-2.0 | |
| Checkffroliva/gflow-cli | 266 | — | ~2.6k | Automated safety check: Pass | MIT | |
| OrchestrationOrkas-AI/Orkas-VideoStudio | 498 | — | ~3.4k | Automated safety check: Pass | MIT |
BarneyD66/clipmivo-tools
Create and manage AI video tasks through ClipmivoAI using its MCP server, CLI or REST API.
SlavaSexton/ComfyUI-Agent-Kit
Drives a local ComfyUI install over its HTTP API to generate and edit images, video and audio, with per-model prompt recipes and workflow guidance.
henjicc/Henji-AI
在痕迹AI修图、调色、抠出或选中主体、移除物体、修补瑕疵、编辑图层与蒙版、导出图片或流转图片产物时使用。视频时间线与成片用 video-edit-workbench;写代码画面用 video-edit-code-creation。
ffroliva/gflow-cli
Auto-fix lint and formatting, then report types and tests. An agent skill from ffroliva/gflow-cli.
Orkas-AI/Orkas-VideoStudio
The master program for producing or editing a video end to end — read this at the START of any video task (after video-router), then follow the gates and the per-line steps.
scenario-labs/skills
A skill your agent uses when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions…
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.
Works with
Categories
统一资产生成 skill:接受 --type=character|scene|prop|product,或不传自动扫所有 pending(缺 sheet)资源并按类型分发。当用户说“生成角色图”/“生成场景图”/“生成道具图”/“生成商品图”、想为新资产创建参考图、或有资产缺少 sheet 时使用。. Generate Assets is an agent skill from ArcReel/ArcReel.
Generate Assets fits situations like: tasks that involve AI video generation.
Run `npx skills add ArcReel/ArcReel --skill generate-assets -a claude-code`. Or copy the skill folder (agent_runtime_profile/.claude/skills/generate-assets in ArcReel/ArcReel) into .claude/skills/generate-assets in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ArcReel/ArcReel --skill generate-assets -a codex`. Or copy the skill folder (agent_runtime_profile/.claude/skills/generate-assets in ArcReel/ArcReel) into .agents/skills/generate-assets 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 generate-assets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-assets, .gemini/skills/generate-assets, .github/skills/generate-assets and .opencode/skills/generate-assets in your project.
SKILL.md names no scripts, command-line tools or credentials: Generate Assets 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.
Generate Assets 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 902 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Generate Assets: Clipmivo Video (BarneyD66/clipmivo-tools, 142 stars), ComfyUI Local Driver (SlavaSexton/ComfyUI-Agent-Kit, 105 stars), Image Edit Workbench (henjicc/Henji-AI, 254 stars) and Check (ffroliva/gflow-cli, 266 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 5,399 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 9, 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.