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zrt-ai-lab/opencode-skills
This skill should be used when preparing Markdown articles for a WeChat Official Account draft box, selecting wenyan-cli themes, processing article images, or troubleshooting authentication and…
火柴人图片生成技能。使用AI生成粉笔画风格火柴人，并用HSV统一背景色。当需要生成火柴人视频素材时触发. An agent skill from zrt-ai-lab/opencode-skills.
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Install Video Stickfigure
$ npx skills add zrt-ai-lab/opencode-skills --skill video-stickfigure -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zrt-ai-lab/opencode-skills video-stickfigure --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/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/video-stickfigure .claude/skills/video-stickfigure && 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-stickfigure" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/video-stickfigure into .claude/skills/video-stickfigure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-stickfigure", 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/zrt-ai-lab/opencode-skills/tree/main/video-stickfigureType 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 zrt-ai-lab/opencode-skills --skill video-stickfigure -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zrt-ai-lab/opencode-skills video-stickfigure --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/video-stickfigure .agents/skills/video-stickfigure && 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-stickfigure" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/video-stickfigure into .agents/skills/video-stickfigure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-stickfigure", 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 zrt-ai-lab/opencode-skills --skill video-stickfigure -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zrt-ai-lab/opencode-skills video-stickfigure --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/video-stickfigure .cursor/skills/video-stickfigure && 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-stickfigure" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/video-stickfigure into .cursor/skills/video-stickfigure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-stickfigure", 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/zrt-ai-lab/opencode-skills.git --path video-stickfigure--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 zrt-ai-lab/opencode-skills --skill video-stickfigure -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zrt-ai-lab/opencode-skills video-stickfigure --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/video-stickfigure .gemini/skills/video-stickfigure && 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-stickfigure" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/video-stickfigure into .gemini/skills/video-stickfigure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-stickfigure", 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 zrt-ai-lab/opencode-skills video-stickfigureInstalls 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 zrt-ai-lab/opencode-skills --skill video-stickfigure -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/video-stickfigure .github/skills/video-stickfigure && 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-stickfigure" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/video-stickfigure into .github/skills/video-stickfigure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-stickfigure", 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 zrt-ai-lab/opencode-skills --skill video-stickfigure -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zrt-ai-lab/opencode-skills video-stickfigure --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/video-stickfigure .opencode/skills/video-stickfigure && 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-stickfigure" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/video-stickfigure into .opencode/skills/video-stickfigure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-stickfigure", 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-stickfigure- GitHub stars
- 287
- Token cost
- ~1.4k tokens
- SKILL.md length
- 227 words
- Files
- 2
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- None found
At a glance
火柴人图片生成技能。使用AI生成粉笔画风格火柴人，并用HSV统一背景色。当需要生成火柴人视频素材时触发. An agent skill from zrt-ai-lab/opencode-skills.
- Works in 4 steps: 必须添加 - 不加氛围元素的火柴人图太单调 → 与情绪匹配 - 消极情绪用暗元素，积极情绪用亮元素 → 不要太多 - 2-3个氛围元素足够，太多会杂乱 → …
- SKILL.md covers 🚨 核心原则, 🔧 生图工具, 📝 Prompt模板 and 🎨 HSV背景统一处理（必做！）, plus 3 more sections
- Calls python and python3
What it does
Video Stickfigure is an agent skill from zrt-ai-lab/opencode-skills. 火柴人图片生成技能。使用AI生成粉笔画风格火柴人，并用HSV统一背景色。当需要生成火柴人视频素材时触发。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).
The repository describes itself as: OpenCode/Claude Code 技能库 。特色技能：视频生成、图片生成、AI Agent 互联、智能问数等等各场景，持续开发更新中.
Example prompts
- “/video-stickfigure”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 必须添加 - 不加氛围元素的火柴人图太单调
- 与情绪匹配 - 消极情绪用暗元素，积极情绪用亮元素
- 不要太多 - 2-3个氛围元素足够，太多会杂乱
- 保持简约 - 氛围元素也是粉笔画风格，不要写实
What it can do on your machine
Read from SKILL.md and the folder at commit d38536f. 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:
pythonpython3
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
Video Stickfigure loads about 1.4k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 227 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 227 words (~1,353 tokens).
- name
- video-stickfigure
Files
SKILL.md and 1 other file in video-stickfigure of zrt-ai-lab/opencode-skills.
- SKILL.md
- README.md
Open the folder on GitHubat commit d38536f
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Questions about Video Stickfigure
What does Video Stickfigure do?
火柴人图片生成技能。使用AI生成粉笔画风格火柴人，并用HSV统一背景色。当需要生成火柴人视频素材时触发. An agent skill from zrt-ai-lab/opencode-skills. Video Stickfigure is an agent skill from zrt-ai-lab/opencode-skills.
How do I install Video Stickfigure in Claude Code?
Run `npx skills add zrt-ai-lab/opencode-skills --skill video-stickfigure -a claude-code`. Or copy the skill folder (video-stickfigure in zrt-ai-lab/opencode-skills) into .claude/skills/video-stickfigure in your project. Claude Code loads it when a task matches its description.
How do I install Video Stickfigure in Codex?
Run `npx skills add zrt-ai-lab/opencode-skills --skill video-stickfigure -a codex`. Or copy the skill folder (video-stickfigure in zrt-ai-lab/opencode-skills) into .agents/skills/video-stickfigure in your project. Codex loads it when a task matches its description.
Can I use Video Stickfigure 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 zrt-ai-lab/opencode-skills --skill video-stickfigure -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-stickfigure, .gemini/skills/video-stickfigure, .github/skills/video-stickfigure and .opencode/skills/video-stickfigure in your project.
What does Video Stickfigure need to run?
Going by SKILL.md and its folder, Video Stickfigure needs the command-line tools its instructions call (python and python3). Our summary lists: Python 3.
Does Video Stickfigure 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 Video Stickfigure 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 Stickfigure use?
No licence was found for Video Stickfigure or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Video Stickfigure use?
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Who maintains Video Stickfigure?
zrt-ai-lab (a GitHub user) maintains it in zrt-ai-lab/opencode-skills, which has 287 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on July 22, 2026.
Source: zrt-ai-lab/opencode-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.