Clipmivo Video
BarneyD66/clipmivo-tools
Create and manage AI video tasks through ClipmivoAI using its MCP server, CLI or REST API.
生成宫格分镜图。当用户说"生成宫格"、"宫格生图"、"用宫格装配生成分镜"时使用。自动按 segmentbreak 分组,选择最优宫格大小,生成链式过渡帧宫格联合图;用户审阅联合图并同意后,再切分落格为各分镜的起始分镜图。
$ npx skills add ArcReel/ArcReel --skill generate-grid -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArcReel/ArcReel generate-grid --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-grid .claude/skills/generate-grid && 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-grid" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-grid into .claude/skills/generate-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-grid", 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-gridType 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-grid -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArcReel/ArcReel generate-grid --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-grid .agents/skills/generate-grid && 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-grid" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-grid into .agents/skills/generate-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-grid", 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-grid -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArcReel/ArcReel generate-grid --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-grid .cursor/skills/generate-grid && 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-grid" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-grid into .cursor/skills/generate-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-grid", 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-grid--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-grid -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArcReel/ArcReel generate-grid --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-grid .gemini/skills/generate-grid && 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-grid" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-grid into .gemini/skills/generate-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-grid", 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-gridInstalls 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-grid -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-grid .github/skills/generate-grid && 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-grid" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-grid into .github/skills/generate-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-grid", 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-grid -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-grid --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-grid .opencode/skills/generate-grid && 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-grid" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/generate-grid into .opencode/skills/generate-grid/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-grid", 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-grid生成宫格分镜图。当用户说"生成宫格"、"宫格生图"、"用宫格装配生成分镜"时使用。自动按 segmentbreak 分组,选择最优宫格大小,生成链式过渡帧宫格联合图;用户审阅联合图并同意后,再切分落格为各分镜的起始分镜图。
Generate Grid is an agent skill from ArcReel/ArcReel. 生成宫格分镜图。当用户说"生成宫格"、"宫格生图"、"用宫格装配生成分镜"时使用。自动按 segmentbreak 分组,选择最优宫格大小,生成链式过渡帧宫格联合图;用户审阅联合图并同意后,再切分落格为各分镜的起始分镜图。
Its SKILL.md is about 500 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.
2 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.
Generate Grid loads about 495 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 95 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). 95 words, ~495 tokens.
.claude/skills/generate-grid/SKILL.md (or your agent's skills folder).为开启宫格装配的项目生成宫格分镜图。自动按 segment_break 分组,每组生成一张宫格联合图(分镜数超过单张宫格格数上限的分组会切为多张,末张不足一档时落到更小档并补占位格)。
宫格分两段,两段之间要经用户审阅:
generate_grid 只生成联合图并记版本,不写任何分镜图。split_grids 切分落格:它覆写宫格覆盖的全部分镜图,旧分镜图留在版本历史里可回滚。不要在生成完成后自行切分。切分后的分镜图仍走 i2v,与逐张生成的分镜图输入契约相同。
generation_mode 为 "storyboard" 且 grid_storyboard 为 true(宫格装配由用户在 Web 设置页开关,项目创建后不可经 Agent 改)| 操作 | 工具 |
|---|---|
| 整集补缺 | mcp__arcreel__generate_grid({"script": "episode_1.json"}) |
| 重做指定分镜所在的宫格 | mcp__arcreel__generate_grid({"script": "episode_1.json", "scene_ids": ["E1S01", "E1S02", "E1S03"]}) |
| 预览规划与现有宫格状态 | mcp__arcreel__generate_grid({"script": "episode_1.json", "list_only": true}) |
| 用户同意后切分落格 | mcp__arcreel__split_grids({"grid_ids": ["grid_a1b2c3d4e5f6"]}) |
scene_ids 时只补缺:分镜图已齐备的分组复用,联合图已就绪而未切分的宫格不重生成,正在生成的宫格沿用在途任务,都不会重复计费。scene_ids 是重做请求:包含这些分镜的宫格会重新生成并计费,只在用户明确要求重做时使用。generation_batch_admission_withheld,已在生成中的宫格照常跑完、其分镜带 generation_active_task_conflict(wait_for_task),修复全部缺口后重试即可一次提交。结果按 requested / succeeded / failed / blocked 逐分镜 ID 返回:同组分镜共享一张宫格,这张宫格的入队与任务结果投影到它覆盖的每个分镜。成功分镜的 artifact_path 是它所在宫格的联合图 grids/<grid_id>.png,未切分的宫格同时列在 grid_ids_awaiting_split。结构详见 .claude/references/generation-results.md。
split_grids 逐宫格返回结果:已切分的列出写入的分镜;仍在生成、没有联合图或不存在的宫格跳过并说明原因。
grids/{grid_id}.png(grid_id 自身即带 grid_ 前缀,如 grids/grid_a1b2c3d4e5f6.png),每次生成/上传记为一个 grids 版本grids/{grid_id}.json(split_at 记录最近一次按当前联合图切分落格的时间)next_scene_id 分配落盘,文件名与普通分镜图对齐为 storyboards/scene_{id}.png(无 first/last 后缀),每格覆写前后均入版本史© 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-grid of ArcReel/ArcReel.
Open the folder on GitHubat commit dec992c
Generate Grid 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 Grid this skillArcReel/ArcReel | 5.4k | — | ~495 | 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 | |
| Checkffroliva/gflow-cli | 264 | — | ~2.6k | Automated safety check: Pass | MIT | |
| OrchestrationOrkas-AI/Orkas-VideoStudio | 498 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Scenario Runwayscenario-labs/skills | 913 | 1 repos | ~1.2k | 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.
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…
scenario-labs/skills
A skill your agent uses when generating or editing video with Grok Imagine models on Scenario via MCP: text-to-video, image-to-video from a first frame, reference-to-video with @image tags for…
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
生成宫格分镜图。当用户说"生成宫格"、"宫格生图"、"用宫格装配生成分镜"时使用。自动按 segmentbreak 分组,选择最优宫格大小,生成链式过渡帧宫格联合图;用户审阅联合图并同意后,再切分落格为各分镜的起始分镜图。. Generate Grid is an agent skill from ArcReel/ArcReel.
Generate Grid fits situations like: tasks that involve AI video generation.
Run `npx skills add ArcReel/ArcReel --skill generate-grid -a claude-code`. Or copy the skill folder (agent_runtime_profile/.claude/skills/generate-grid in ArcReel/ArcReel) into .claude/skills/generate-grid in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ArcReel/ArcReel --skill generate-grid -a codex`. Or copy the skill folder (agent_runtime_profile/.claude/skills/generate-grid in ArcReel/ArcReel) into .agents/skills/generate-grid 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-grid -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-grid, .gemini/skills/generate-grid, .github/skills/generate-grid and .opencode/skills/generate-grid in your project.
SKILL.md names no scripts, command-line tools or credentials: Generate Grid 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 Grid 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 495 tokens (SKILL.md is roughly 2k 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 Grid: Clipmivo Video (BarneyD66/clipmivo-tools, 142 stars), ComfyUI Local Driver (SlavaSexton/ComfyUI-Agent-Kit, 105 stars), Check (ffroliva/gflow-cli, 264 stars) and Orchestration (Orkas-AI/Orkas-VideoStudio, 498 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.