Agent skill

Model Selector

by cclank in cclank/lanshu-awesome-ai-video-kit

根据用户的视频需求(场景、时长、音频、语言、平台限制、预算、是否需要本地部署/角色一致性等),从 16 个主流 AI 视频模型(12 商业 + 4 开源)中推荐最匹配的 1-3 个,并解释为什么。覆盖商业:Seedance 2.0、HappyHorse 1.0、Kling 3.0、Sora 2、Veo 3.1、Gemini Omni(2026-05 新)、Runway…

MITAuto-check passedMedia & Creative

Install Model Selector

skills CLI

$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a claude-code

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

GitHub CLI

$ gh skill install cclank/lanshu-awesome-ai-video-kit model-selector --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/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/model-selector .claude/skills/model-selector && 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/

Paste into Claude Code

Install the "model-selector" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/model-selector into .claude/skills/model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-selector", 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

$skill-installer install https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/model-selector

Type 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.

skills CLI

$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install cclank/lanshu-awesome-ai-video-kit model-selector --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/model-selector .agents/skills/model-selector && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "model-selector" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/model-selector into .agents/skills/model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-selector", 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.

skills CLI

$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install cclank/lanshu-awesome-ai-video-kit model-selector --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/model-selector .cursor/skills/model-selector && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "model-selector" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/model-selector into .cursor/skills/model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-selector", 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

$ gemini skills install https://github.com/cclank/lanshu-awesome-ai-video-kit.git --path skills/model-selector

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install cclank/lanshu-awesome-ai-video-kit model-selector --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/model-selector .gemini/skills/model-selector && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "model-selector" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/model-selector into .gemini/skills/model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-selector", 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.

GitHub CLI

$ gh skill install cclank/lanshu-awesome-ai-video-kit model-selector

Installs 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).

skills CLI

$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/model-selector .github/skills/model-selector && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "model-selector" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/model-selector into .github/skills/model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-selector", 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.

skills CLI

$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install cclank/lanshu-awesome-ai-video-kit model-selector --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/model-selector .opencode/skills/model-selector && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "model-selector" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/model-selector into .opencode/skills/model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-selector", 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: model-selector
GitHub stars: 412
Token cost: ~1.2k tokens
SKILL.md length: 265 words
Files: 1
Skills in repo: 4
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 3 steps: 短剧时长？10 秒以内的片段还是 1-2 分钟完整故事？ → 要原生音频（角色对话）吗？ → 偏向写实 / 古风 / 现代都市哪种？
Tasks that involve AI video generation
SKILL.md covers 何时不用此 skill, 11 模型能力速查矩阵, 工作流程 and 实战示例, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Model Selector is an agent skill from cclank/lanshu-awesome-ai-video-kit. 根据用户的视频需求(场景、时长、音频、语言、平台限制、预算、是否需要本地部署/角色一致性等),从 16 个主流 AI 视频模型(12 商业 + 4 开源)中推荐最匹配的 1-3 个,并解释为什么。覆盖商业:Seedance 2.0、HappyHorse 1.0、Kling 3.0、Sora 2、Veo 3.1、Gemini Omni(2026-05 新)、Runway Gen-4.5/Aleph、Pika 2.5、Hailuo 02、Hunyuan Video 1.5、Wan 2.7、即梦 AI;开源:LTX-Video 0.9.7、Mochi 1、CogVideoX 5B、Higgsfield Soul。用于"用哪个 AI 视频模型好"、"Sora 还是 Kling"、"国内有什么模型"、"哪个免费"、"哪个支持中文"、"哪个能编辑已有视频"、"哪个能本地部署"、"哪个角色一致性最强"等触发场景。

Its SKILL.md is about 1.2k 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 Media & Creative, covering AI video generation. It works with Seedance and Google Veo. The repository describes itself as: 做企业 AI 视频项目逼出来的工具包 · 411 prompt · 15 模型 · 7 Claude Skill · 14 篇方法论. The licence is MIT.

When your agent uses it

Tasks that involve AI video generation

Example prompts

“用哪个 AI 视频模型好”
“Sora 还是 Kling”
“国内有什么模型”
“/model-selector”

Workflow steps

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

短剧时长？10 秒以内的片段还是 1-2 分钟完整故事？
要原生音频（角色对话）吗？
偏向写实 / 古风 / 现代都市哪种？

What it can do on your machine

Read from SKILL.md and the folder at commit f4c1bbd. 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 (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- klingai.com
- runwayml.com
- github.com
- huggingface.co
- docs.comfy.org
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

Model Selector loads about 1.2k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 265 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~106
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

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 cclank/lanshu-awesome-ai-video-kit at commit f4c1bbd, republished under its MIT licence (© cclank). 265 words, ~1,205 tokens.

Download SKILL.mdSave it as .claude/skills/model-selector/SKILL.md (or your agent's skills folder).

name: model-selector
description: 根据用户的视频需求(场景、时长、音频、语言、平台限制、预算、是否需要本地部署/角色一致性等),从 16 个主流 AI 视频模型(12 商业 + 4 开源)中推荐最匹配的 1-3 个,并解释为什么。覆盖商业:Seedance 2.0、HappyHorse 1.0、Kling 3.0、Sora 2、Veo 3.1、**Gemini Omni**(2026-05 新)、Runway Gen-4.5/Aleph、Pika 2.5、Hailuo 02、Hunyuan Video 1.5、Wan 2.7、即梦 AI;开源:LTX-Video 0.9.7、Mochi 1、CogVideoX 5B、Higgsfield Soul。用于"用哪个 AI 视频模型好"、"Sora 还是 Kling"、"国内有什么模型"、"哪个免费"、"哪个支持中文"、"哪个能编辑已有视频"、"哪个能本地部署"、"哪个角色一致性最强"等触发场景。

model-selector

15 个主流 AI 视频模型(11 商业 + 4 开源)的"购物顾问"。问用户 3-4 个关键问题,给出推荐 + 理由。

何时不用此 skill

用户已经确定要用某个模型 → 用对应的 <model>-prompter skill
用户问"提示词怎么写" → 用 seedance-prompter / kling-prompter / happyhorse-prompter
用户的提示词不工作 → 用 seedance-debugger

11 模型能力速查矩阵

模型	中文	音频	物理	编辑	时长	开源	国内可用	主战场
Seedance 2.0	★★★	—	★★★	—	15s	—	✓	电影叙事
HappyHorse 1.0	★★★	★★	★★	—	15s（默认 5s）	—	✓	ASMR / 短片
Kling 3.0	★★★★★	★★★★	★★★★	✓	2m	—	✓	中文剧情 / 图生视频
Sora 2	★★	★★★★	★★★★★	—	25s (Pro)	—	△	电影艺术片
Veo 3.1	★★	★★★★★	★★★	—	148s chained	—	△	多人对话
Gemini Omni ⭐NEW	★★	★★★	★★★	★★★★★	待定	—	△	迭代编辑 / 文字渲染 / 跨模态
Runway Gen-4	★★★	—	★★★	★★★★★	30s	—	✓	视频编辑
Pika 2.5	★★	★	★★	—	25s	—	✓	创意特效
Hailuo 02	★★★	—	★★★★★	—	10s	—	✓	物理动作
Hunyuan 1.5	★★★★	—	★★★	✓	10s	★★★★★	✓	开源 / LoRA
Wan 2.7	★★★	★★★★★	★★★	✓	15s	—	✓	数字人 lip-sync
即梦 3.0	★★★★★	★★	★★★	—	15s	—	✓	中文 + 剪映集成

工作流程

步骤 1：问 3-4 个关键问题

不要全部问，挑最影响结果的 3-4 个：

维度	问题
时长	"需要多长？5 秒 / 10 秒 / 15 秒以上？"
音频	"要原生音频吗？只要环境音 / 要对白 / 要 BGM / 不要"
语言	"是中文场景还是英文场景？"
编辑性质	"全新生成还是编辑已有视频？"
平台限制	"国内可用 / 国际可用 / 本地部署？"
用途	"短视频爆款 / 影视级 / 商业广告 / 个人创作？"

步骤 2：按决策树推荐

是编辑已有视频？
├── Yes → Runway Aleph（独家）
└── No → 继续
    ├── 要数字人/真人对口型？
    │   └── Yes → Wan 2.7（业界最准）
    ├── 要多人对话+精确配乐？
    │   └── Yes → Veo 3.1
    ├── 中文剧情/中式美学？
    │   └── Yes → 即梦 3.0（创作者） / Kling 3.0（开发者 API）
    ├── 极致物理感（水/火/动作）？
    │   └── Yes → Hailuo 02 > Sora 2
    ├── 创意爆款特效（变身/融化）？
    │   └── Yes → Pika 2.5（Pikaffects）
    ├── 本地部署/开源/LoRA 训练？
    │   └── Yes → Hunyuan 1.5
    ├── 极致电影质感/艺术片？
    │   └── Yes → Sora 2 > Runway Gen-4
    ├── 5/10/15 秒紧凑短片 + 环境音？
    │   └── Yes → HappyHorse 1.0
    └── 复杂多镜头叙事？
        └── Yes → Seedance 2.0 / Kling 智能分镜

步骤 3：输出格式

markdown

## 推荐模型

**最佳选择**：[模型名]
**理由**：[2-3 句话说明为什么]
**对应 skill**：[skills/xxx-prompter] （如果有）
**对应方法论**：[methodology/NN-xxx-公式.md]
**官方平台**：[链接]

**备选**：[模型名]
**为什么备选**：[一句话]

## 你的需求 → 我的判断

| 你的需求 | 对应能力 | 评级 |
|---|---|---|
| [需求 1] | [模型支持情况] | ★★★★★ |
| ... | ... | ... |

实战示例

例 1：用户问"我想做中文短剧"

澄清问题：

短剧时长？10 秒以内的片段还是 1-2 分钟完整故事？
要原生音频（角色对话）吗？
偏向写实 / 古风 / 现代都市哪种？

用户答：单个片段 10 秒，要有对话，现代都市。

输出：

最佳选择：Kling 3.0 理由：中文理解业界并列第一（与即梦），原生音频支持角色定向发声，最长 15 秒单段，5 层进阶公式天然适合剧情。

对应 skill：skills/kling-prompter 对应方法论：methodology/09-kling-公式.md 官方平台：klingai.com

备选：Wan 2.7（如果对话很多且需要数字人感强）/ 即梦 3.0（如果在剪映里直接做后期）

例 2：用户问"我有一段视频想改个风格，比如变水彩动画"

判断：编辑已有视频 → 直接推荐 Runway Aleph。

输出：

最佳选择：Runway Aleph 理由：编辑已有视频是 Aleph 的独家能力（其他 10 个模型都做不到）。re-style 动词专门用于风格转换，能保持原始运动和时序不变。

示例 prompt：
Re-style this clip as a hand-painted watercolor animation. Soft brush textures, flowing edges, warm palette. Preserve all motion and timing exactly.
对应方法论：methodology/13-六大模型公式速查.md#1-runway-gen-4--aleph 官方平台：Runway

备选：没有真正可替代的。如果非要，Hunyuan 视频也能改一些（开源），但不是 native 编辑能力。

例 3：用户问"我自己想搭一个本地视频生成，预算有限"

澄清问题：

GPU 配置如何？（24GB / 12GB / 8GB）
主要用途？（个人玩 / 自训 LoRA / 商业）

用户答：RTX 4090 24GB，想自训 LoRA。

输出：

最佳选择：Hunyuan Video 1.5（8.3B 版本）理由：开源最强、24GB 显存可跑、原生支持 LoRA 训练、社区活跃（ComfyUI 完整工作流支持）。

推荐参数：Q5_K_M GGUF + 30 steps + dpmpp_2m_sde + sgm_uniform + cfg 6.0 官方资源：

GitHub: Tencent-Hunyuan/HunyuanVideo-1.5

HuggingFace: tencent/HunyuanVideo-1.5

ComfyUI 教程: docs.comfy.org

备选：CogVideoX（智谱开源）/ LTX Video（Lightricks 实时）— 这两个未纳入本仓库主目录，但同属开源阵营。

参考

11 模型能力对比详表：methodology/13-六大模型公式速查.md
五大模型公式对照：methodology/10-跨模型对比.md
官方资源汇总：RESOURCES.md

Files

Just SKILL.md in skills/model-selector of cclank/lanshu-awesome-ai-video-kit.

Open the folder on GitHubat commit f4c1bbd

Compare with similar skills

Model Selector 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.

Model Selector compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Model Selector this skillcclank/lanshu-awesome-ai-video-kit	412	—	~1.2k	Automated safety check: Pass	MIT	today
Video PromptingSquare-Zero-Labs/video-prompting-skill	181	—	~1.9k	Automated safety check: Pass	Apache-2.0	1 mo ago
AI Media GeneratorHao0321/ai-media-generator	256	—	~5.6k	Automated safety check: Pass	MIT	1 mo ago
Fal AI Mediamajiayu000/claude-skill-registry	666	5 repos	~1.7k	Automated safety check: Pass	MIT	today
Arcads External APIkrusemediallc/arcads-claude-code	1.6k	—	~8.7k	Automated safety check: Notes	MIT	15 days ago
Fal AI Mediaaffaan-m/ECC	274k	2 repos	~1.2k	Automated safety check: Pass	MIT	2 days ago

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Fal AI Media
affaan-m/ECC
通过 fal.ai MCP 实现统一的媒体生成——图像、视频和音频。涵盖文本到图像（Nano Banana）、文本/图像到视频（Seedance、Kling、Veo 3）、文本到语音（CSM-1B），以及视频到音频（ThinkSound）。当用户想要使用 AI 生成图像、视频或音频时使用。
274k GitHub starsUsed in 2 repos~1.2k tokens
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Video Strategy
ZJU-REAL/Easel
视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景. An agent skill from ZJU-REAL/Easel.
3.2k GitHub stars~1k tokensUpdated 2 days ago
Media & CreativeAuto-check passed

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Happyhorse Prompter
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生成符合 HappyHorse 1.0 严格规则的紧凑提示词（30-55 词），主体先行 + 明确镜头技术 + 音频激活路径（with X audible / speaking English at natural pace）。可选加入"8s 时序节拍"结构。用于"用 HappyHorse 生成视频"、"做个 3-15 秒短片"、"要原生带音频的视频"、"ASMR 视频提示词"等触发场景。
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诊断 Seedance 2.0 生成视频时出现的常见问题（人物 ID 漂移/双胞胎/字幕/Logo/风格漂移/延长跳变/画质劣化/特效不对/中文发音/音色不准/结尾噪音等 12 类），定位根因并给出修复后的提示词。用于"我的提示词生成出来不对"、"视频里出现奇怪的字幕"、"人脸不像参考图"、"出现两个一样的人物"、"风格变了"、"怎么修这个提示词"等触发场景。
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cclank/lanshu-awesome-ai-video-kit
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Works with

Questions about Model Selector

What does Model Selector do?

When should I use Model Selector?

Model Selector fits situations like: tasks that involve AI video generation.

How do I install Model Selector in Claude Code?

Run `npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a claude-code`. Or copy the skill folder (skills/model-selector in cclank/lanshu-awesome-ai-video-kit) into .claude/skills/model-selector in your project. Claude Code loads it when a task matches its description.

How do I install Model Selector in Codex?

Run `npx skills add cclank/lanshu-awesome-ai-video-kit --skill model-selector -a codex`. Or copy the skill folder (skills/model-selector in cclank/lanshu-awesome-ai-video-kit) into .agents/skills/model-selector in your project. Codex loads it when a task matches its description.

Can I use Model Selector 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 cclank/lanshu-awesome-ai-video-kit --skill model-selector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-selector, .gemini/skills/model-selector, .github/skills/model-selector and .opencode/skills/model-selector in your project.

What does Model Selector need to run?

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

Does Model Selector access the network?

SKILL.md names 5 domains. As links in the text: klingai.com, runwayml.com, github.com, huggingface.co and docs.comfy.org. This is read from the text; nothing was executed.

Is Model Selector 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 Model Selector use?

Model Selector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Model Selector use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Model Selector?

Skills that share tags, products or a category with Model Selector: Video Prompting (Square-Zero-Labs/video-prompting-skill, 181 stars), AI Media Generator (Hao0321/ai-media-generator, 256 stars), Fal AI Media (majiayu000/claude-skill-registry, 666 stars) and Arcads External API (krusemediallc/arcads-claude-code, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Selector?

cclank (a GitHub user) maintains it in cclank/lanshu-awesome-ai-video-kit, which has 412 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 7, 2026.

Source: cclank/lanshu-awesome-ai-video-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Model Selector

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

model-selector

何时不用此 skill

11 模型能力速查矩阵

工作流程

步骤 1：问 3-4 个关键问题

步骤 2：按决策树推荐

步骤 3：输出格式

实战示例

例 1：用户问"我想做中文短剧"

例 2：用户问"我有一段视频想改个风格，比如变水彩动画"

例 3：用户问"我自己想搭一个本地视频生成，预算有限"

参考

Files

Compare with similar skills

Similar skills

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Related

Questions about Model Selector