Comfyui Animatool
ShiroEirin/comfyui-good-anima
Route ALL Anima image generation: validate Danbooru hard anchors, form visual brief, assemble English prompts and args, then load comfyui-manager for workflow execution.
Lay out and organize a ComfyUI workflow cleanly on the live panel canvas.
$ npx skills add artokun/comfyui-mcp --skill workflow-layout -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install artokun/comfyui-mcp workflow-layout --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/artokun/comfyui-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/workflow-layout .claude/skills/workflow-layout && 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 "workflow-layout" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/workflow-layout into .claude/skills/workflow-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-layout", 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/artokun/comfyui-mcp/tree/main/plugin/skills/workflow-layoutType 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 artokun/comfyui-mcp --skill workflow-layout -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install artokun/comfyui-mcp workflow-layout --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/workflow-layout .agents/skills/workflow-layout && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "workflow-layout" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/workflow-layout into .agents/skills/workflow-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-layout", 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 artokun/comfyui-mcp --skill workflow-layout -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install artokun/comfyui-mcp workflow-layout --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/workflow-layout .cursor/skills/workflow-layout && 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 "workflow-layout" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/workflow-layout into .cursor/skills/workflow-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-layout", 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/artokun/comfyui-mcp.git --path plugin/skills/workflow-layout--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 artokun/comfyui-mcp --skill workflow-layout -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install artokun/comfyui-mcp workflow-layout --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/workflow-layout .gemini/skills/workflow-layout && 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 "workflow-layout" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/workflow-layout into .gemini/skills/workflow-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-layout", 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 artokun/comfyui-mcp workflow-layoutInstalls 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 artokun/comfyui-mcp --skill workflow-layout -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/workflow-layout .github/skills/workflow-layout && 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 "workflow-layout" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/workflow-layout into .github/skills/workflow-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-layout", 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 artokun/comfyui-mcp --skill workflow-layout -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install artokun/comfyui-mcp workflow-layout --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/workflow-layout .opencode/skills/workflow-layout && 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 "workflow-layout" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/workflow-layout into .opencode/skills/workflow-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-layout", 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.
workflow-layoutLay out and organize a ComfyUI workflow cleanly on the live panel canvas.
Workflow Layout is an agent skill from artokun/comfyui-mcp. Lay out and organize a ComfyUI workflow cleanly on the live panel canvas. Dependency-layered node placement with no overlaps, subgraphs, colored group boxes, and subgraph rail alignment. Use when asked to tidy / clean up / organize / arrange a workflow, add groups or subgraphs, fix overlapping nodes, or build a workflow that should look good from the start.
Its SKILL.md is about 2.2k 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 AI & LLM Engineering, covering Diffusion and image models. It works with ComfyUI. The repository describes itself as: Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in… The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6ad6fc0. 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.
Workflow Layout loads about 2.2k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 1,159 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 artokun/comfyui-mcp at commit 6ad6fc0, republished under its MIT licence (© artokun). 1,159 words, ~2,248 tokens.
.claude/skills/workflow-layout/SKILL.md (or your agent's skills folder).Turn a tangled graph into a clean left-to-right dataflow a human reads at a glance,
using the panel_* canvas tools. The golden rule: never lay out blind. Read the
real node sizes and rail positions first, then compute positions from them.
panel_query_graph {fields:'detail', limit:200, max_chars:60000}. READ FIRST, every time. Returns, for the graph you're viewing:pos [x,y], size [w,h] (body only), and full_height (the
TRUE rendered footprint = title bar + body; use this for vertical stacking),groups (id, title, color, bounding [x,y,w,h]),rails: the input / output boundary
node positions. Everything below is computed from these numbers.panel_edit_node({node_id, pos?, size?, title?, collapsed?, preset?|color?|bgcolor?})
atomically moves, resizes, retitles, collapses, or color-codes a node. Widget
values remain on their dedicated tool; execution mode is available as mode when needed.panel_create_group (pass node_ids to
auto-wrap, or bounds [x,y,w,h]; color hex), panel_move_group, panel_edit_group,
panel_remove_group.panel_create_subgraph(node_ids),
panel_enter_subgraph / panel_exit_subgraph, panel_get_subgraph,
panel_promote_widget, panel_move_rail(rail, [x,y]) (rail = "input"|"output",
must be inside the subgraph), panel_expose_subgraph_output(from_node_id, from_output) /
panel_expose_subgraph_input(to_node_id, to_input) (expose an interior slot on the
boundary rail; must be inside the subgraph), and panel_unpack_subgraph(node_id)
(expand/dissolve a subgraph back into the parent, the inverse of panel_create_subgraph).panel_canvas({action:"fit"}) to frame the result; panel_save_workflow to persist.connected_from (ignore unconnected
widget inputs; only node→node edges matter).layer(n) = 0 if it has no incoming node edges, else 1 + max(layer(of its sources)).
Layers become columns, left → right.x = X0 + layer * COL_PITCH, where COL_PITCH ≈ widest node.size[0] in that column + ~80.y[i+1] = y[i] + node[i].full_height + ROW_GAP. Use full_height (from
panel_query_graph detail rows), NOT size[1]. size[1] is the BODY only (slots + widgets); the
title bar renders ~30px ABOVE pos and is NOT in size[1], so stacking by size[1]
overlaps every node by a header (the classic "headers eating the node above" bug).
full_height already includes that header (and is only the title height for a collapsed
node), so y += full_height + ROW_GAP lands an exact ROW_GAP gap between the previous
node's bottom and the next node's title. Never use a fixed row pitch. Tall nodes
(KSampler, WanVideo Sampler, LoRA-select) are 480 to 600px and WILL overlap a 320 pitch.
(If full_height is ever absent, fall back to size[1] + ~30 for the header.)Reads-well constants: COL_PITCH 360 to 480, ROW_GAP 40. Because full_height already
accounts for the title bar, you don't add extra top headroom per node. ROW_GAP is the
clean gap you'll actually see.
A subgraph has two boundary rails (input left, output right). They do not follow the
inner nodes. Move the nodes without moving the rails and you get a huge gap (a common
mistake). For each subgraph: panel_enter_subgraph → lay out the inner nodes (algorithm
above) → then pin the rails to the node band:
panel_move_rail("input", [minNodeX - 180, bandTopY])panel_move_rail("output", [maxNodeX + 60, bandTopY])Keep rails at the same Y as the first row. Read current rail positions from
panel_query_graph (rails) before deciding. panel_exit_subgraph when done.
Wiring interior nodes to the boundary (don't connect to a guessed rail id). To expose
an interior node's output/input on the boundary so the PARENT graph can wire it, do NOT
panel_connect to a rail node id you guessed. Use panel_expose_subgraph_output(from_node_id, from_output) (interior output → output rail) and panel_expose_subgraph_input(to_node_id, to_input) (interior input → input rail), both while inside the subgraph. panel_query_graph's
rails shows which boundary slots already exist and which still need exposing. To expand or
dissolve a subgraph back into the parent (inline its inner nodes and rewire external links,
removing the wrapper, the inverse of panel_create_subgraph), use
panel_unpack_subgraph(node_id). All undoable with Ctrl+Z.
Loaders → Inputs → Preprocess (pose/controlnet/conditioning) → Embeds → Sample → Decode/Output, one concern per column/stage, strictly left-to-right.
The nodes a user touches first, the input (Load Image / Load Video) and the
output (save / video-combine / preview), must stay expanded and visible so they
can jump straight in: drop in their media, hit run, watch the result. Collapse the
internal machinery (loaders, encoders, samplers) into chips to cut noise, but never
collapse the inputs or outputs. When they live inside subgraphs, keep those subgraph
nodes expanded, and consider panel_promote_widget to lift the one key widget
(prompt, seed) onto the subgraph node so it's editable without drilling in.
Heads-up: input/output preview nodes (
LoadImage,VHS_LoadVideo, video-combine) report their fullsize[1]but render short until media loads. Size their group band to the.size(so it fits once filled), not to the empty-preview render.
panel_query_graph {fields:'detail', limit:200, max_chars:60000} to capture pos/size/groups (and rails inside each subgraph).panel_edit_node for each node (or bulk only when the same presentation change is intended).panel_move_rail both rails → exit.panel_create_group bands around the root columns (and panel_remove_group
any stranded empty groups left behind by earlier edits).panel_save_workflow, then panel_canvas({action:"fit"}).LoadImage, VHS_LoadVideo, preview nodes
return a tiny size[1] because the image/video preview height isn't in .size. Leave
extra vertical room (≈250 to 300px) below them so the preview doesn't overlap the next node.blue, sampler green) and collapsed rarely-touched
loaders to cut visual noise. Cheap wins once the positions are right.© artokun, MIT. 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 plugin/skills/workflow-layout of artokun/comfyui-mcp.
Open the folder on GitHubat commit 6ad6fc0
Workflow Layout 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 |
|---|---|---|---|---|---|---|
| Workflow Layout this skillartokun/comfyui-mcp | 795 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Comfyui AnimatoolShiroEirin/comfyui-good-anima | 478 | — | ~4.6k | Automated safety check: Pass | GPL-3.0 | |
| Comfyui Agent Skill MieMieMieeeee/comfyui-agent-skill | 116 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Importing SubgraphsComfy-Org/workflow_templates | 1.3k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Comfyui Node Addernixified-ai/flake | 841 | — | ~806 | Automated safety check: Pass | AGPL-3.0 | |
| Managing BundlesComfy-Org/workflow_templates | 1.3k | — | ~1.2k | Automated safety check: Pass | MIT |
ShiroEirin/comfyui-good-anima
Route ALL Anima image generation: validate Danbooru hard anchors, form visual brief, assemble English prompts and args, then load comfyui-manager for workflow execution.
MieMieeeee/comfyui-agent-skill
Agent skill for running registered ComfyUI workflows through a stable CLI, and for importing a user's own ComfyUI workflow into their private registry after review.
Comfy-Org/workflow_templates
Imports and registers subgraph blueprints into the ComfyUI workflowtemplates repository.
nixified-ai/flake
Adds new custom nodes to the ComfyUI Nix project, including npins fetching, dependency resolution in package.nix, disabling impure pip installs, and verifying the Nix build.
Comfy-Org/workflow_templates
Manages template bundles, categories, and ordering in the ComfyUI template repository.
momori777/Artemis
SmartCrusher + CCR context compression — crunch large JSON arrays, tool outputs, and search results to save tokens.
artokun/comfyui-mcp
Train custom LoRAs with ostris AI-Toolkit. An agent skill from artokun/comfyui-mcp.
artokun/comfyui-mcp
Anime/illustration text-to-image (ANIMA 1.0, ~2B Cosmos DiT).
artokun/comfyui-mcp
Discover Civitai models with the BUILT-IN downloadmodel action:"searchcivitai" and install/generate them locally.
artokun/comfyui-mcp
Diagnose and fix video/image color OBJECTIVELY with the getimage (action:"analyzecolor") tool (scopes/stats such as black/white points, contrast, saturation, clipping, cast) instead of eyeballing a…
artokun/comfyui-mcp
Authoring ComfyUI v2 frontend extensions with @comfyorg/extension-api, covering defineNode/defineExtension/defineWidget, shell UI (sidebar tabs, commands, hotkeys), typed events, and handles.
artokun/comfyui-mcp
Pick the right ComfyUI startup flags for VRAM, attention, caching, and speed.
Works with
Categories
Lay out and organize a ComfyUI workflow cleanly on the live panel canvas. Workflow Layout is an agent skill from artokun/comfyui-mcp. Lay out and organize a ComfyUI workflow cleanly on the live panel canvas.
Workflow Layout fits situations like: asked to tidy / clean up / organize / arrange a workflow; fix overlapping nodes; build a workflow that should look good from the start.
Run `npx skills add artokun/comfyui-mcp --skill workflow-layout -a claude-code`. Or copy the skill folder (plugin/skills/workflow-layout in artokun/comfyui-mcp) into .claude/skills/workflow-layout in your project. Claude Code loads it when a task matches its description.
Run `npx skills add artokun/comfyui-mcp --skill workflow-layout -a codex`. Or copy the skill folder (plugin/skills/workflow-layout in artokun/comfyui-mcp) into .agents/skills/workflow-layout 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 artokun/comfyui-mcp --skill workflow-layout -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflow-layout, .gemini/skills/workflow-layout, .github/skills/workflow-layout and .opencode/skills/workflow-layout in your project.
SKILL.md names no scripts, command-line tools or credentials: Workflow Layout 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.
Workflow Layout is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 9k 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 Workflow Layout: Comfyui Animatool (ShiroEirin/comfyui-good-anima, 478 stars), Comfyui Agent Skill Mie (MieMieeeee/comfyui-agent-skill, 116 stars), Importing Subgraphs (Comfy-Org/workflow_templates, 1.3k stars) and Comfyui Node Adder (nixified-ai/flake, 841 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
artokun (a GitHub user) maintains it in artokun/comfyui-mcp, which has 795 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 5, 2026.
Source: artokun/comfyui-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.