Agent skill

Generate Grid

by ArcReel in 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。

AGPL-3.0Auto-check passedMedia & Creative

Install Generate Grid

skills CLI
$ npx skills add ArcReel/ArcReel --skill generate-grid -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ArcReel/ArcReel generate-grid --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
generate-grid
GitHub stars
5.4k
Token cost
~495 tokens
SKILL.md length
95 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
AGPL-3.0

At a glance

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。

  • Works in 2 steps: generate_grid 只生成联合图并记版本,不写任何分镜图。 → 用户在 Web…
  • Tasks that involve AI video generation
  • SKILL.md covers 前置条件, 工具调用 and 输出
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Tasks that involve AI video generation

Example prompts

  • “用宫格装配生成分镜”
  • “/generate-grid”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. generate_grid 只生成联合图并记版本,不写任何分镜图。
  2. 用户在 Web 宫格面板审阅联合图(可重新生成、上传替换或回滚)。用户明确同意切分后,再调 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。

What it can do on your machine

Read from SKILL.md and the folder at commit dec992c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~495

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from ArcReel/ArcReel at commit dec992c, republished under its AGPL-3.0 licence (© ArcReel). 95 words, ~495 tokens.

Download SKILL.mdSave it as .claude/skills/generate-grid/SKILL.md (or your agent's skills folder).
name
generate-grid
description
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 segment_break 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。

生成宫格分镜图

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:

  1. generate_grid 只生成联合图并记版本,不写任何分镜图。
  2. 用户在 Web 宫格面板审阅联合图(可重新生成、上传替换或回滚)。用户明确同意切分后,再调 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。

前置条件

  • 项目 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)
  • 剧本已生成(scripts/episode_N.json 存在)
  • 角色/场景/道具资产图(已生成的会作为参考图带入;一张都没有时退化为纯文生图,画面一致性会明显变差)

工具调用

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"]})
  • 不传 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。
  • 传 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。
  • 准入是整批的:任一分镜受阻(引用缺口、提示词待生成、与在途宫格部分重叠等),整批不建任务;本身健康的分镜带 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。

输出

  • 宫格联合图保存到 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
  • 帧链元数据保存到 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)
  • 切分落格后的单元格按 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

Files

Just SKILL.md in agent_runtime_profile/.claude/skills/generate-grid of ArcReel/ArcReel.

Open the folder on GitHubat commit dec992c

Compare with similar skills

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.

Generate Grid compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Generate Grid this skillArcReel/ArcReel5.4k—~495Automated safety check: PassAGPL-3.0
Clipmivo VideoBarneyD66/clipmivo-tools142—~945Automated safety check: PassMIT
ComfyUI Local DriverSlavaSexton/ComfyUI-Agent-Kit105—~12kAutomated safety check: PassApache-2.0
Checkffroliva/gflow-cli264—~2.6kAutomated safety check: PassMIT
OrchestrationOrkas-AI/Orkas-VideoStudio498—~3.4kAutomated safety check: PassMIT
Scenario Runwayscenario-labs/skills9131 repos~1.2kAutomated safety check: PassMIT

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Questions about Generate Grid

What does Generate Grid do?

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.

When should I use Generate Grid?

Generate Grid fits situations like: tasks that involve AI video generation.

How do I install Generate Grid in Claude Code?

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.

How do I install Generate Grid in Codex?

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.

Can I use Generate Grid in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Generate Grid need to run?

SKILL.md names no scripts, command-line tools or credentials: Generate Grid is instructions for the agent only.

Does Generate Grid access the network?

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.

Is Generate Grid safe to install?

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.

What licence does Generate Grid use?

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.

How many tokens does Generate Grid use?

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.

What are the alternatives to Generate Grid?

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.

Who maintains Generate Grid?

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.