Workflow Template Builder
Mooshieblob1/MooshieUI
Builds or modifies ComfyUI workflow JSON templates in MooshieUI's Rust backend (src-tauri/src/templates).
Search and validate Anima-compatible Danbooru tags, artists, characters, series, appearance, clothing, pose, scene, lighting, and prompt anchors.
Install Danbooru Tags
$ npx skills add ShiroEirin/comfyui-good-anima --skill danbooru-tags -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ShiroEirin/comfyui-good-anima danbooru-tags --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/ShiroEirin/comfyui-good-anima.git skills-src && mkdir -p .claude/skills && cp -r skills-src/legacy/v1/danbooru-tags .claude/skills/danbooru-tags && 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 "danbooru-tags" agent skill from https://github.com/ShiroEirin/comfyui-good-anima/tree/main/legacy/v1/danbooru-tags into .claude/skills/danbooru-tags/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbooru-tags", 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/ShiroEirin/comfyui-good-anima/tree/main/legacy/v1/danbooru-tagsType 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 ShiroEirin/comfyui-good-anima --skill danbooru-tags -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ShiroEirin/comfyui-good-anima danbooru-tags --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShiroEirin/comfyui-good-anima.git skills-src && mkdir -p .agents/skills && cp -r skills-src/legacy/v1/danbooru-tags .agents/skills/danbooru-tags && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "danbooru-tags" agent skill from https://github.com/ShiroEirin/comfyui-good-anima/tree/main/legacy/v1/danbooru-tags into .agents/skills/danbooru-tags/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbooru-tags", 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 ShiroEirin/comfyui-good-anima --skill danbooru-tags -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ShiroEirin/comfyui-good-anima danbooru-tags --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShiroEirin/comfyui-good-anima.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/legacy/v1/danbooru-tags .cursor/skills/danbooru-tags && 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 "danbooru-tags" agent skill from https://github.com/ShiroEirin/comfyui-good-anima/tree/main/legacy/v1/danbooru-tags into .cursor/skills/danbooru-tags/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbooru-tags", 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/ShiroEirin/comfyui-good-anima.git --path legacy/v1/danbooru-tags--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 ShiroEirin/comfyui-good-anima --skill danbooru-tags -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ShiroEirin/comfyui-good-anima danbooru-tags --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShiroEirin/comfyui-good-anima.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/legacy/v1/danbooru-tags .gemini/skills/danbooru-tags && 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 "danbooru-tags" agent skill from https://github.com/ShiroEirin/comfyui-good-anima/tree/main/legacy/v1/danbooru-tags into .gemini/skills/danbooru-tags/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbooru-tags", 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 ShiroEirin/comfyui-good-anima danbooru-tagsInstalls 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 ShiroEirin/comfyui-good-anima --skill danbooru-tags -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ShiroEirin/comfyui-good-anima.git skills-src && mkdir -p .github/skills && cp -r skills-src/legacy/v1/danbooru-tags .github/skills/danbooru-tags && 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 "danbooru-tags" agent skill from https://github.com/ShiroEirin/comfyui-good-anima/tree/main/legacy/v1/danbooru-tags into .github/skills/danbooru-tags/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbooru-tags", 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 ShiroEirin/comfyui-good-anima --skill danbooru-tags -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ShiroEirin/comfyui-good-anima danbooru-tags --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShiroEirin/comfyui-good-anima.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/legacy/v1/danbooru-tags .opencode/skills/danbooru-tags && 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 "danbooru-tags" agent skill from https://github.com/ShiroEirin/comfyui-good-anima/tree/main/legacy/v1/danbooru-tags into .opencode/skills/danbooru-tags/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "danbooru-tags", 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.
Facts
- Skill name
danbooru-tags- GitHub stars
- 481
- Token cost
- ~2.4k tokens
- SKILL.md length
- 511 words
- Files
- 10
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- GPL-3.0
At a glance
Search and validate Anima-compatible Danbooru tags, artists, characters, series, appearance, clothing, pose, scene, lighting, and prompt anchors.
- Works in 6 steps: 默认主索引只使用 anima-1.0.csv；其他历史 CSV 不参与默认生图回填。 → 画师标签只来自 CSV 原始画师分类，必须保留 @。 → 其他分类不带 @，不能当画师标签。 → …
- Only wants tag/random artist lookup
- SKILL.md covers 权威边界, 读取导航, 执行入口 and 调用场景, plus 8 more sections
- Runs Python scripts from its folder; calls python
What it does
Danbooru Tags is an agent skill from ShiroEirin/comfyui-good-anima. Search and validate Anima-compatible Danbooru tags, artists, characters, series, appearance, clothing, pose, scene, lighting, and prompt anchors. Use before Anima image generation or when the user only wants tag/random artist lookup.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files (for example `build_index.py`, `sqlite_index.py` and `tag_groups.py`).
It sits in Media & Creative, covering Image generation. It works with Rust and ComfyUI. The licence is GPL-3.0.
When your agent uses it
- Only wants tag/random artist lookup
- Tasks that involve Image generation
Example prompts
- “/danbooru-tags”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 默认主索引只使用 anima-1.0.csv；其他历史 CSV 不参与默认生图回填。
- 画师标签只来自 CSV 原始画师分类，必须保留 @。
- 其他分类不带 @，不能当画师标签。
- artists_extended.txt 只在显式 --extended 时使用，不用于默认生图回填。
- 生图回填的标签检索必须使用 --for-prompt --json --compact；不要把普通展示输出直接塞进 prompt。
- random N --for-prompt 只返回 1 个画师给生图分支；--random N 是测试串。
What it can do on your machine
Read from SKILL.md and the folder at commit 77fba84. 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
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Danbooru Tags loads about 2.4k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 511 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.
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 ShiroEirin/comfyui-good-anima at commit 77fba84, republished under its GPL-3.0 licence (© ShiroEirin). 511 words, ~2,377 tokens.
Download SKILL.mdSave it as
.claude/skills/danbooru-tags/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.- name
- danbooru-tags
- description
- Search and validate Anima-compatible Danbooru tags, artists, characters, series, appearance, clothing, pose, scene, lighting, and prompt anchors. Use before Anima image generation or when the user only wants tag/random artist lookup.
Danbooru 标签检索
本 skill 是 comfyui-animatool 的检索辅助层：确认 Anima 可用的 Danbooru 锚点、画师、角色、作品和视觉要素。本 skill 不决定是否生图。
权威边界
- 检索数据默认只来自 Anima CSV / 本地索引；不要把外部泛画师表混入默认生图回填。
- 是否生图、如何组 prompt、如何交接执行都属于
comfyui-animatool；本 skill 只返回检索结果。 - 角色查询只返回角色 tag、aliases 和 count，不返回外观设定；不要把 aliases 当发色、服装或道具描述。
读取导航
| 需要处理的事 | 读取 |
|---|---|
| 生图前批量校验锚点 | "执行入口" → "批量并发与多变体" |
| 查单个 tag/画师/角色 | "常用命令" |
| 随机画师/随机候选 | "随机画师规则" |
| 维护索引/排障 | "SQLite / Rust" |
执行入口
默认使用 Rust CLI。把当前 danbooru-tags skill 目录作为工作目录，然后调用 .\bin\danbooru-tags.exe。不要从其他 skill 目录找 bin，不要写死用户名、平台目录或绝对路径。
模型已读取本 SKILL.md 时，直接使用本文件所在目录：
Set-Location -LiteralPath "<当前 danbooru-tags skill 目录>"
.\bin\danbooru-tags.exe --group artist --prefix "@mignon" --limit 5 --for-prompt --json --compact如果无法从上下文确定本文件所在目录，停止并说明“无法确定 danbooru-tags skill 目录”；不要递归搜索全盘。
生图前多锚点检索优先用批量入口。优先用 --batch-stdin，避免临时文件和 PowerShell 5.x UTF-8 BOM 问题：
@'
{
"queries": [
{"id": "character", "group": "character", "keyword": "kanade tachibana", "limit": 5},
{"id": "series", "group": "series", "keyword": "angel beats", "limit": 5},
{"id": "artist", "group": "artist", "prefix": "@mignon", "limit": 5}
]
}
'@ | .\bin\danbooru-tags.exe --batch-workers 8 --batch-stdin --for-prompt --json --compact需要落盘复查时再用 --batch-file。写文件必须使用无 BOM UTF-8：
@'
{
"queries": [
{"id": "character", "group": "character", "keyword": "kanade tachibana", "limit": 5},
{"id": "series", "group": "series", "keyword": "angel beats", "limit": 5},
{"id": "artist", "group": "artist", "prefix": "@mignon", "limit": 5}
]
}
'@ | ForEach-Object {
[System.IO.File]::WriteAllText(
(Join-Path (Get-Location) "batch_tags.json"),
$_,
[System.Text.UTF8Encoding]::new($false)
)
}
.\bin\danbooru-tags.exe --batch-workers 8 --batch-file .\batch_tags.json --for-prompt --json --compact新版 CLI 会兼容 UTF-8 BOM；仍建议写无 BOM UTF-8，保证旧 exe 或其他 JSON 工具也能读取。
批量输出按 results.<id>.confirmed_tags / results.<id>.candidate_tags 读取，missing 表示查不到，直接交给 nltags。不要把完整 JSON 复述给用户。
--batch-file 文件必须是 JSON 对象，包含 queries 数组；每条 query 必须有唯一 id，用于返回时区分结果。最小格式：
{
"queries": [
{ "id": "artist", "group": "artist", "keyword": "rella", "limit": 5 },
{
"id": "character",
"group": "character",
"keyword": "hakurei reimu",
"limit": 5
}
]
}默认只使用 Rust CLI。Rust CLI 不存在、启动失败、非 0、输出非 JSON 或缺少 found / confirmed_tags / candidate_tags 时，停止并报告错误，不切换旧检索实现。
调用场景
| 场景 | 调用方式 | 是否生图 |
|---|---|---|
| 查标签/角色/作品/画师 | .\bin\danbooru-tags.exe --group ... | 否 |
| 只要随机画师串 | .\bin\danbooru-tags.exe --random N --json | 否 |
| 随机角色/服装/场景等候选 | .\bin\danbooru-tags.exe --random N --group <group> --json | 否 |
| 生图前回填锚点 | --batch-stdin 一次查多项 | 由 comfyui-animatool 决定 |
| 随机画师生图 | .\bin\danbooru-tags.exe --random 5 --for-prompt --json --compact | 由 comfyui-animatool 决定 |
随机画师规则
--random N 的 N 是请求的候选数量，CLI 只提供候选，不替模型选择规模或结果。模型按任务自选 N：普通抽卡建议 10–50，硬上限 1–300；只有用户明确要求大量候选时才用 100–300。不传 --group 时默认随机画师；带 --group 时随机对应 tag 候选。--random N 和 --random N --for-prompt 语义不同，不能混用：
| 用户意图 | 正确命令 | 输出字段 | 用法 |
|---|---|---|---|
| 抽 N 个候选画师给模型挑 1 个 | .\bin\danbooru-tags.exe --random N --json | random_artists，长度 N | 只调用一次；模型从数组里选 1 个 |
| 抽 N 个角色/服装/姿势/场景候选 | .\bin\danbooru-tags.exe --random N --group clothing --json | random_tags，长度 N | 只调用一次；模型按意图筛选 |
| 随机 1 个画师直接用于生图 | .\bin\danbooru-tags.exe --random 5 --for-prompt --json --compact | random_artists_for_prompt，长度 1 | 直接使用 [0] |
硬性要求：
- 用户说“抽取 10 个画师然后任选一个”时，只调用一次
--random 10 --json。 - 用户说“抽卡随机角色/服装/姿势/场景”时，只调用一次对应 group 的
--random N --group ... --json。 - 模型选择的
N必须在 1–300 内；没有数量要求时按任务自选，普通建议 10–50，不要把 50/100 写死成所有场景默认值。 - 不要调用 10 次
--random 5 --for-prompt --json。 --for-prompt是生图回填模式，会故意只返回 1 个画师，避免把长画师串塞进 prompt。- 随机 tag 候选不得使用
--for-prompt；--for-prompt只用于生图回填并会压缩输出。 - 从候选中选画师时，最多选 1 个；用户明确要求混合风格时最多 2 个。
- 随机画师筛选优先使用当前结果中的
count；只有用户明确要求覆盖门槛时才补查。
候选预算与 count：
count是训练覆盖与稳定性参考，不是默认硬门槛；不要默认加--min-count。- 只有用户明确要求高覆盖、高稳定或指定图量门槛时，才使用
--min-count。 - 随机画师筛选优先使用当前结果中的
count；只有用户明确要求覆盖门槛时才补查。
硬性规则
- 默认主索引只使用
anima-1.0.csv；其他历史 CSV 不参与默认生图回填。 - 画师标签只来自 CSV 原始画师分类，必须保留
@。 - 其他分类不带
@，不能当画师标签。 artists_extended.txt只在显式--extended时使用，不用于默认生图回填。- 生图回填的标签检索必须使用
--for-prompt --json --compact；不要把普通展示输出直接塞进 prompt。 --random N --for-prompt只返回 1 个画师给生图分支；--random N是测试串。
Show full SKILL.md (207 more words)Show less
精细 group
优先用 --group 定向检索：
| Group | 用途 |
|---|---|
artist / artists | 画师 |
character / characters | 角色 |
series / ip / copyright | 作品/IP |
appearance / body | 发色、发型、瞳色、耳、角、翅膀、体型 |
expression | 表情/神态 |
pose / action / camera | 姿势、动作、视角、构图、景别 |
clothing / outfit | 基础服装 |
clothing_detail / detail | 服装细节、毛边、兜帽、披风等 |
handwear | 手套、爪手套等 |
accessory / accessories | 配饰 |
scene / background / composition | 场景、背景、天气、构图 |
lighting / light / atmosphere | 光影、阴影、逆光、窗影、景深、氛围 |
meta | highres、official art 等元信息 |
批量并发与多变体
--batch-workers N控制批量查询并发，默认 4，建议 4–8。- 提升准确度时，不要多次调用 CLI；在同一个
queries里放同一锚点的多个变体，例如character/character_alt、artist_pija/artist_okara。 - 模型从批量返回中筛选最匹配的 confirmed/candidate；
missing直接交给自然语言，不继续无限补查。 - 精细 group 只是优先过滤，不是绝对真理；部分 Danbooru 服装、构图、属性词实际属于
general。 - 查询常见视觉概念时，一次 batch 内放“主词 + 英文/罗马音别名 + 部件拆解”，不要失败后反复单查。
- 中文、日文俗称先翻译/转写成 Danbooru 常用英文或罗马音，再查询；中文原词只能作为辅助变体。
- 对可能被 group 白名单漏掉的概念，同一 batch 可同时放
group=...与category=general变体。 limit 5是精确 artist / character / series 查询默认值；模糊服装、动作、场景或俗称候选可用limit 10-20，最终仍只筛少量锚点回填。- 普通生图最多 4 个语义锚点；每个锚点最多 2–3 个变体；总 query 控制在 12–16 内。
- group 精确过滤无命中时返回的 general 候选只作为
candidate_tags；不能当作硬 confirmed 直接批量回填。
示例：用户说“巫女服”，不要只查 group=clothing keyword=巫女服。一次 batch 查询：
{
"queries": [
{
"id": "miko_clothing",
"group": "clothing",
"keyword": "miko",
"limit": 5
},
{
"id": "miko_general",
"category": "general",
"keyword": "miko",
"limit": 5
},
{
"id": "miko_hakama",
"group": "clothing",
"keyword": "hakama",
"limit": 5
}
]
}输出契约
--for-prompt --json --compact 输出：
| 字段 | 用法 |
|---|---|
found | 是否有可确认锚点；false 时不要冒充命中 |
confirmed_tags | 高置信锚点，可回填但仍需筛选 |
candidate_tags | 候选项，必须按用户意图筛选 |
单项和批量 compact 都保留 confirmed_tags / candidate_tags 分层。batch 额外有 results、missing、usage。
生图回填默认使用 --compact，减少上下文占用。
回填策略
- 角色、作品、画师、基础外观优先查到并回填。
- 服装/配饰/动作/场景/光影先查可确认 tag，再筛选。
- 若由
comfyui-animatool生图调用，以其最多 4 项批量查询限制为准；场景/光影通常进入environment或nltags。 - 复合短语拆成可确认锚点，例如
fur-trimmed hooded cape→fur trim、hood、cape。 - 查不到完整组合时不要编 tag，交给
nltags：例如She wears a fur-trimmed hooded cape and oversized paw gloves.。 - 不要把
candidate_tags整组塞进 prompt。
常用命令
@'
{"queries":[{"id":"artist","group":"artist","prefix":"@mignon","limit":5}]}
'@ | .\bin\danbooru-tags.exe --batch-workers 8 --batch-stdin --for-prompt --json --compact
.\bin\danbooru-tags.exe --group artist --prefix "@dair" --limit 5 --for-prompt --json --compact
.\bin\danbooru-tags.exe --random 10 --json
.\bin\danbooru-tags.exe --random 20 --group clothing --json
.\bin\danbooru-tags.exe --random 20 --group character --json
.\bin\danbooru-tags.exe --random 5 --for-prompt --json --compact生图默认优先批量查询；单项查询只用于关键补查。
SQLite / Rust
- 有
tags_index.sqlite时优先查 SQLite，不预读 JSON。 - 精细 group 通过
tag_groups缩小候选，CLI 只做最终排序和输出格式化。 - 更新 CSV 或白名单后运行
python build_index.py重建 JSON 与 SQLite。
© ShiroEirin, GPL-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
SKILL.md and 9 other files in legacy/v1/danbooru-tags of ShiroEirin/comfyui-good-anima.
- SKILL.md
- anima-1.0.csv
- artists_extended.txt
- banned_tags.csv
- bin/danbooru-tags.exe
- build_index.py
- sqlite_index.py
- tag_groups.py
- tags_index.json
- tags_index.sqlite
Open the folder on GitHubat commit 77fba84
Compare with similar skills
Danbooru Tags 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 |
|---|---|---|---|---|---|---|
| Danbooru Tags this skillShiroEirin/comfyui-good-anima | 481 | — | ~2.4k | Automated safety check: Pass | GPL-3.0 | |
| Workflow Template BuilderMooshieblob1/MooshieUI | 207 | — | ~640 | Automated safety check: Pass | AGPL-3.0 | |
| Add Generation ParamMooshieblob1/MooshieUI | 207 | — | ~417 | Automated safety check: Pass | AGPL-3.0 | |
| Iibzanllp/infinite-image-browsing | 1.4k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Character Refseternityspring/shuohao-skills | 4.3k | — | ~1.7k | Automated safety check: Warn | Apache-2.0 | |
| Anima Baseartokun/comfyui-mcp | 803 | — | ~4k | Automated safety check: Pass | MIT |
Similar skills
Add Generation Param
Mooshieblob1/MooshieUI
Adds a generation parameter across MooshieUI's Svelte store, TypeScript types, Rust GenerationParams, and workflow templates.
Iib
zanllp/infinite-image-browsing
Interact with IIB (Infinite Image Browsing) service for searching, browsing, tagging, and organizing AI-generated images.
Character Refs
eternityspring/shuohao-skills
给任何故事里的角色真出参考图（小说改编、自己原创的故事、单独设计一个角色都行，不需要小说原文）： 一段话描述角色，拆成分层字段、补全后确认， 先出一张正面全身锚点，其余视图（大头照、90° 侧面、背面、细节、45° 大头照）都只参考这张锚点， 按需分档出图。每张图带标识、可单独重出，重出后自动标出哪些图过期。
Anima Base
artokun/comfyui-mcp
Anime/illustration text-to-image (ANIMA 1.0, ~2B Cosmos DiT).
Add Tauri Command
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Related
Categories
Questions about Danbooru Tags
What does Danbooru Tags do?
Search and validate Anima-compatible Danbooru tags, artists, characters, series, appearance, clothing, pose, scene, lighting, and prompt anchors. Danbooru Tags is an agent skill from ShiroEirin/comfyui-good-anima. Search and validate Anima-compatible Danbooru tags, artists, characters, series, appearance, clothing, pose, scene, lighting, and prompt anchors.
When should I use Danbooru Tags?
Danbooru Tags fits situations like: only wants tag/random artist lookup; tasks that involve Image generation.
How do I install Danbooru Tags in Claude Code?
Run `npx skills add ShiroEirin/comfyui-good-anima --skill danbooru-tags -a claude-code`. Or copy the skill folder (legacy/v1/danbooru-tags in ShiroEirin/comfyui-good-anima) into .claude/skills/danbooru-tags in your project. Claude Code loads it when a task matches its description.
How do I install Danbooru Tags in Codex?
Run `npx skills add ShiroEirin/comfyui-good-anima --skill danbooru-tags -a codex`. Or copy the skill folder (legacy/v1/danbooru-tags in ShiroEirin/comfyui-good-anima) into .agents/skills/danbooru-tags in your project. Codex loads it when a task matches its description.
Can I use Danbooru Tags 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 ShiroEirin/comfyui-good-anima --skill danbooru-tags -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/danbooru-tags, .gemini/skills/danbooru-tags, .github/skills/danbooru-tags and .opencode/skills/danbooru-tags in your project.
What does Danbooru Tags need to run?
Going by SKILL.md and its folder, Danbooru Tags needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Danbooru Tags 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 Danbooru Tags 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 Danbooru Tags use?
Danbooru Tags is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Danbooru Tags use?
About 2.4k tokens (SKILL.md is roughly 9.5k 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 Danbooru Tags?
Skills that share tags, products or a category with Danbooru Tags: Workflow Template Builder (Mooshieblob1/MooshieUI, 207 stars), Add Generation Param (Mooshieblob1/MooshieUI, 207 stars), Iib (zanllp/infinite-image-browsing, 1.4k stars) and Character Refs (eternityspring/shuohao-skills, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Danbooru Tags?
ShiroEirin (a GitHub user) maintains it in ShiroEirin/comfyui-good-anima, which has 481 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on June 15, 2026.
Source: ShiroEirin/comfyui-good-anima on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.