Workflow Schema Tuning
breaking-brake/cc-wf-studio
Guides edits to cc-wf-studio's workflow schema so AI agents generate better workflows, treating schema text as prompt engineering rather than validation.
可视化科普 skill。当用户要求"可视化科普""互动科普实验""科学交互演示""把XX做成互动页面""像挂谷猜想那样做个科普页"时使用。把任何数学或科学概念(如挂谷猜想、日食、月食、太阳系、四季、月相、潮汐)变成电脑和手机都能访问的单页互动实验:先事实核验,再建直觉模型,给出正式定义,设计参数滑杆加实时反馈的互动实验,写清边界说明与来源追溯,最后用 Vite 打包单文件并发布到…
$ npx skills add tjxj/z-skills --skill z-sci-viz-lab -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tjxj/z-skills z-sci-viz-lab --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/tjxj/z-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/z-sci-viz-lab .claude/skills/z-sci-viz-lab && 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 "z-sci-viz-lab" agent skill from https://github.com/tjxj/z-skills/tree/main/z-sci-viz-lab into .claude/skills/z-sci-viz-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "z-sci-viz-lab", 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/tjxj/z-skills/tree/main/z-sci-viz-labType 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 tjxj/z-skills --skill z-sci-viz-lab -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tjxj/z-skills z-sci-viz-lab --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tjxj/z-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/z-sci-viz-lab .agents/skills/z-sci-viz-lab && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "z-sci-viz-lab" agent skill from https://github.com/tjxj/z-skills/tree/main/z-sci-viz-lab into .agents/skills/z-sci-viz-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "z-sci-viz-lab", 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 tjxj/z-skills --skill z-sci-viz-lab -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tjxj/z-skills z-sci-viz-lab --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tjxj/z-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/z-sci-viz-lab .cursor/skills/z-sci-viz-lab && 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 "z-sci-viz-lab" agent skill from https://github.com/tjxj/z-skills/tree/main/z-sci-viz-lab into .cursor/skills/z-sci-viz-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "z-sci-viz-lab", 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/tjxj/z-skills.git --path z-sci-viz-lab--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 tjxj/z-skills --skill z-sci-viz-lab -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tjxj/z-skills z-sci-viz-lab --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tjxj/z-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/z-sci-viz-lab .gemini/skills/z-sci-viz-lab && 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 "z-sci-viz-lab" agent skill from https://github.com/tjxj/z-skills/tree/main/z-sci-viz-lab into .gemini/skills/z-sci-viz-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "z-sci-viz-lab", 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 tjxj/z-skills z-sci-viz-labInstalls 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 tjxj/z-skills --skill z-sci-viz-lab -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tjxj/z-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/z-sci-viz-lab .github/skills/z-sci-viz-lab && 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 "z-sci-viz-lab" agent skill from https://github.com/tjxj/z-skills/tree/main/z-sci-viz-lab into .github/skills/z-sci-viz-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "z-sci-viz-lab", 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 tjxj/z-skills --skill z-sci-viz-lab -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tjxj/z-skills z-sci-viz-lab --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tjxj/z-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/z-sci-viz-lab .opencode/skills/z-sci-viz-lab && 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 "z-sci-viz-lab" agent skill from https://github.com/tjxj/z-skills/tree/main/z-sci-viz-lab into .opencode/skills/z-sci-viz-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "z-sci-viz-lab", 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.
z-sci-viz-lab可视化科普 skill。当用户要求"可视化科普""互动科普实验""科学交互演示""把XX做成互动页面""像挂谷猜想那样做个科普页"时使用。把任何数学或科学概念(如挂谷猜想、日食、月食、太阳系、四季、月相、潮汐)变成电脑和手机都能访问的单页互动实验:先事实核验,再建直觉模型,给出正式定义,设计参数滑杆加实时反馈的互动实验,写清边界说明与来源追溯,最后用 Vite 打包单文件并发布到…
Z Sci Viz Lab is an agent skill from tjxj/z-skills. 可视化科普 skill。当用户要求"可视化科普""互动科普实验""科学交互演示""把XX做成互动页面""像挂谷猜想那样做个科普页"时使用。把任何数学或科学概念(如挂谷猜想、日食、月食、太阳系、四季、月相、潮汐)变成电脑和手机都能访问的单页互动实验:先事实核验,再建直觉模型,给出正式定义,设计参数滑杆加实时反馈的互动实验,写清边界说明与来源追溯,最后用 Vite 打包单文件并发布到 Cloudflare Pages。支持两种方式:用 templates/prompt-template.txt 生成全新主题单页,或按 templates/scene-template.js 为 sci-viz-lab 现有项目扩展场景。
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `README.md`, `references/workflow.md` and `templates/scene-template.js`).
It sits in AI & LLM Engineering, covering Prompt engineering. It works with Vite, Cloudflare Pages and npm. The repository describes itself as: A collection of reusable skills.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a29467e. 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.
Ships script files (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
npmFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comsci-viz-lab.pages.devFrom 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.
Z Sci Viz Lab loads about 647 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 127 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 127 words (~647 tokens).
SKILL.md and 4 other files (references) in z-sci-viz-lab of tjxj/z-skills.
Open the folder on GitHubat commit a29467e
Z Sci Viz Lab 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 |
|---|---|---|---|---|---|---|
| Z Sci Viz Lab this skilltjxj/z-skills | 547 | — | ~647 | Automated safety check: Pass | None | |
| Workflow Schema Tuningbreaking-brake/cc-wf-studio | 5.4k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Redis Insight Pluginredis/RedisInsight | 8.9k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Frontend Build Timing Auditopenops-cloud/openops | 1.1k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Analogjsanalogjs/analog | 3.2k | — | ~891 | Automated safety check: Pass | MIT | |
| Vuetify Skilldlogue/vite-vuetify-ts-starter | 181 | 1 repos | ~1.9k | Automated safety check: Pass | MIT |
breaking-brake/cc-wf-studio
Guides edits to cc-wf-studio's workflow schema so AI agents generate better workflows, treating schema text as prompt engineering rather than validation.
redis/RedisInsight
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waynesutton/markdown-site
Integrate Convex static self hosting into existing apps using the latest upstream instructions from get-convex/self-hosting every time.
tjxj/z-skills
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tjxj/z-skills
A skill your agent uses when creating complete generated audio with qwen-audio-3.1-tts-next, including podcasts, radio drama, advertisements, multiple speakers, reference voices, ambience, sound…
tjxj/z-skills
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tjxj/z-skills
Extract all Markdown tables from a .md file and export to Excel (.xlsx).
tjxj/z-skills
Convert local Markdown files into Word documents. An agent skill from tjxj/z-skills.
tjxj/z-skills
将文章、讲稿或技术主题制作成王虹学术报告气质的 16:9 Notability 手写风 HTML 幻灯片,逐页导出 PNG,并默认同时生成可逐条播放动画的时间轴版 HTML。触发词:王虹PPT风格、王虹手写PPT、Notability学术手写幻灯片、手写网页PPT、手写PPT、数学家手写报告风、手写PPT时间轴版、手写演示动画。
Works with
Categories
可视化科普 skill。当用户要求"可视化科普""互动科普实验""科学交互演示""把XX做成互动页面""像挂谷猜想那样做个科普页"时使用。把任何数学或科学概念(如挂谷猜想、日食、月食、太阳系、四季、月相、潮汐)变成电脑和手机都能访问的单页互动实验:先事实核验,再建直觉模型,给出正式定义,设计参数滑杆加实时反馈的互动实验,写清边界说明与来源追溯,最后用 Vite 打包单文件并发布到…. Z Sci Viz Lab is an agent skill from tjxj/z-skills.
Z Sci Viz Lab fits situations like: tasks that involve Prompt engineering.
Run `npx skills add tjxj/z-skills --skill z-sci-viz-lab -a claude-code`. Or copy the skill folder (z-sci-viz-lab in tjxj/z-skills) into .claude/skills/z-sci-viz-lab in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tjxj/z-skills --skill z-sci-viz-lab -a codex`. Or copy the skill folder (z-sci-viz-lab in tjxj/z-skills) into .agents/skills/z-sci-viz-lab 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 tjxj/z-skills --skill z-sci-viz-lab -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/z-sci-viz-lab, .gemini/skills/z-sci-viz-lab, .github/skills/z-sci-viz-lab and .opencode/skills/z-sci-viz-lab in your project.
Going by SKILL.md and its folder, Z Sci Viz Lab needs JavaScript for the scripts in its folder and the command-line tools its instructions call (npm). Our summary lists: Node.js.
SKILL.md names 2 domains. As links in the text: github.com and sci-viz-lab.pages.dev. 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.
No licence was found for Z Sci Viz Lab or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 647 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Z Sci Viz Lab: Workflow Schema Tuning (breaking-brake/cc-wf-studio, 5.4k stars), Redis Insight Plugin (redis/RedisInsight, 8.9k stars), Frontend Build Timing Audit (openops-cloud/openops, 1.1k stars) and Analogjs (analogjs/analog, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tjxj (a GitHub user) maintains it in tjxj/z-skills, which has 547 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 22, 2026.
Source: tjxj/z-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.