AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
A skill your agent uses when user needs to generate images from text prompts.
Install Video T2i
$ npx skills add T0UGH/videoclaw --skill video-t2i -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install T0UGH/videoclaw video-t2i --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/T0UGH/videoclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-t2i .claude/skills/video-t2i && 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 "video-t2i" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-t2i into .claude/skills/video-t2i/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-t2i", 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/T0UGH/videoclaw/tree/main/skills/video-t2iType 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 T0UGH/videoclaw --skill video-t2i -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install T0UGH/videoclaw video-t2i --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-t2i .agents/skills/video-t2i && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-t2i" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-t2i into .agents/skills/video-t2i/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-t2i", 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 T0UGH/videoclaw --skill video-t2i -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install T0UGH/videoclaw video-t2i --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-t2i .cursor/skills/video-t2i && 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 "video-t2i" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-t2i into .cursor/skills/video-t2i/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-t2i", 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/T0UGH/videoclaw.git --path skills/video-t2i--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 T0UGH/videoclaw --skill video-t2i -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install T0UGH/videoclaw video-t2i --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-t2i .gemini/skills/video-t2i && 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 "video-t2i" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-t2i into .gemini/skills/video-t2i/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-t2i", 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 T0UGH/videoclaw video-t2iInstalls 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 T0UGH/videoclaw --skill video-t2i -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-t2i .github/skills/video-t2i && 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 "video-t2i" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-t2i into .github/skills/video-t2i/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-t2i", 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 T0UGH/videoclaw --skill video-t2i -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install T0UGH/videoclaw video-t2i --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-t2i .opencode/skills/video-t2i && 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 "video-t2i" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-t2i into .opencode/skills/video-t2i/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-t2i", 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
video-t2i- GitHub stars
- 118
- Token cost
- ~275 tokens
- SKILL.md length
- 60 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when user needs to generate images from text prompts.
- User needs to generate images from text prompts
- SKILL.md covers Overview, Usage, Parameters and Supported Providers, plus 1 more section
- Calls claude and uvx
- Tasks that involve Image generation
What it does
Video T2i is an agent skill from T0UGH/videoclaw. Use when user needs to generate images from text prompts. Independent text-to-image command for creating single images outside of video creation workflow.
Its SKILL.md is about 280 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 Image generation. The repository describes itself as: AI 视频创作 CLI 工具，深度集成 Seedance 2.0 + Chatgpt Imagen2 业界顶级模型，告诉 AI 你的想法，它会自动完成从素材生成到视频合成的全部工作，并支持自动发布到抖音、快手等平台。
When your agent uses it
- User needs to generate images from text prompts
- Tasks that involve Image generation
Example prompts
- “/video-t2i”
What it can do on your machine
Read from SKILL.md and the folder at commit 115d9dd. 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
Shell commands in SKILL.md call:
claudeuvx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uvx, which can reach the network depending on how they are called.
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
Video T2i loads about 275 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 60 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 60 words (~275 tokens).
“Generate images from text prompts. Independent command that does not require project context.”
- name
- video-t2i
Files
Just SKILL.md in skills/video-t2i of T0UGH/videoclaw.
Open the folder on GitHubat commit 115d9dd
Compare with similar skills
Video T2i 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 |
|---|---|---|---|---|---|---|
| Video T2i this skillT0UGH/videoclaw | 118 | — | ~275 | Automated safety check: Pass | None | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Structured Image Generationbytedance/deer-flow | 84k | 4 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Canghe Comicfreestylefly/canghe-skills | 461 | 8 repos | ~3.2k | Automated safety check: Pass | None | |
| Generate Imageynulihao/AgentSkillOS | 618 | 10 repos | ~1.7k | Automated safety check: Notes | None | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.7k | — | ~2.5k | Automated safety check: Notes | MIT |
Similar skills
Structured Image Generation
bytedance/deer-flow
Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.
Canghe Comic
freestylefly/canghe-skills
Knowledge comic creator supporting multiple art styles and tones.
Generate Image
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
GPT Image Generation CLI
wuyoscar/GPT-Image2-Skill
Generates and edits images with GPT Image 2 or 2.5 through a packaged CLI and a prompt gallery, after settling which model fits the request.
Minimal Zine Poster Generator
LiamGvchi/gc-minimal-zine-poster
Creates or analyzes quiet, paper-texture zine posters with big negative space, one color accent and experimental type, returning an image prompt and the generated poster.
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Video Upload
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Related
Categories
Questions about Video T2i
What does Video T2i do?
A skill your agent uses when user needs to generate images from text prompts. Video T2i is an agent skill from T0UGH/videoclaw. Use when user needs to generate images from text prompts.
When should I use Video T2i?
Video T2i fits situations like: user needs to generate images from text prompts; tasks that involve Image generation.
How do I install Video T2i in Claude Code?
Run `npx skills add T0UGH/videoclaw --skill video-t2i -a claude-code`. Or copy the skill folder (skills/video-t2i in T0UGH/videoclaw) into .claude/skills/video-t2i in your project. Claude Code loads it when a task matches its description.
How do I install Video T2i in Codex?
Run `npx skills add T0UGH/videoclaw --skill video-t2i -a codex`. Or copy the skill folder (skills/video-t2i in T0UGH/videoclaw) into .agents/skills/video-t2i in your project. Codex loads it when a task matches its description.
Can I use Video T2i 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 T0UGH/videoclaw --skill video-t2i -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-t2i, .gemini/skills/video-t2i, .github/skills/video-t2i and .opencode/skills/video-t2i in your project.
What does Video T2i need to run?
Going by SKILL.md and its folder, Video T2i needs the command-line tools its instructions call (claude and uvx).
Does Video T2i access the network?
SKILL.md contains no URLs. Its commands use uvx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Video T2i 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 Video T2i use?
No licence was found for Video T2i or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Video T2i use?
About 275 tokens (SKILL.md is roughly 1.1k 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 Video T2i?
Skills that share tags, products or a category with Video T2i: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 618 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video T2i?
T0UGH (a GitHub user) maintains it in T0UGH/videoclaw, which has 118 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on May 18, 2026.
Source: T0UGH/videoclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.