Generates an interactive Docker Python lab block for MkDocs textbook pages, where students write and run real Python code inside an isolated Docker container.
$ npx skills add dmccreary/ibook-skills --skill docker-python-lab -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dmccreary/ibook-skills docker-python-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/dmccreary/ibook-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/archived/docker-python-lab .claude/skills/docker-python-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 "docker-python-lab" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/docker-python-lab into .claude/skills/docker-python-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-python-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/dmccreary/ibook-skills/tree/main/skills/archived/docker-python-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 dmccreary/ibook-skills --skill docker-python-lab -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dmccreary/ibook-skills docker-python-lab --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/archived/docker-python-lab .agents/skills/docker-python-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 "docker-python-lab" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/docker-python-lab into .agents/skills/docker-python-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-python-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 dmccreary/ibook-skills --skill docker-python-lab -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dmccreary/ibook-skills docker-python-lab --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/archived/docker-python-lab .cursor/skills/docker-python-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 "docker-python-lab" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/docker-python-lab into .cursor/skills/docker-python-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-python-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/dmccreary/ibook-skills.git --path skills/archived/docker-python-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 dmccreary/ibook-skills --skill docker-python-lab -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dmccreary/ibook-skills docker-python-lab --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/archived/docker-python-lab .gemini/skills/docker-python-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 "docker-python-lab" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/docker-python-lab into .gemini/skills/docker-python-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-python-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 dmccreary/ibook-skills docker-python-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 dmccreary/ibook-skills --skill docker-python-lab -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/archived/docker-python-lab .github/skills/docker-python-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 "docker-python-lab" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/docker-python-lab into .github/skills/docker-python-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-python-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 dmccreary/ibook-skills --skill docker-python-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 dmccreary/ibook-skills docker-python-lab --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dmccreary/ibook-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/archived/docker-python-lab .opencode/skills/docker-python-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 "docker-python-lab" agent skill from https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/docker-python-lab into .opencode/skills/docker-python-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-python-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.
docker-python-labGenerates an interactive Docker Python lab block for MkDocs textbook pages, where students write and run real Python code inside an isolated Docker container.
Docker Python Lab is an agent skill from dmccreary/ibook-skills. Generates an interactive Docker Python lab block for MkDocs textbook pages, where students write and run real Python code inside an isolated Docker container. Use this skill whenever someone asks to add a Python lab, code runner, interactive Python exercise, or runnable code block to a textbook page that uses Docker (not Skulpt). Also use it when adding multiple labs to a single page, setting up the shared CSS/JS infrastructure, or creating a timing/benchmark lab that shows students how long each phase takes…
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including assets (for example `assets/docker-lab.js` and `evals/evals.json`).
It sits in DevOps & Cloud, covering Containers. It works with Docker and Python.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6789126. 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.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Docker Python Lab loads about 2.1k tokens when it runs. Until then it costs about 150 tokens; SKILL.md has 595 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 595 words (~2,129 tokens).
“Generates interactive Python lab blocks for MkDocs pages in the learning-python textbook (or any MkDocs project following the same pattern). Each lab shows a code editor, Run and Reset buttons, and an output area. Code runs inside a fresh, isolated…”
SKILL.md and 3 other files (assets) in skills/archived/docker-python-lab of dmccreary/ibook-skills.
Open the folder on GitHubat commit 6789126
Docker Python 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 |
|---|---|---|---|---|---|---|
| Docker Python Lab this skilldmccreary/ibook-skills | 105 | — | ~2.1k | Automated safety check: Pass | None | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | 1 repos | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Minimegasandia-minimega/minimega | 160 | — | ~3.2k | Automated safety check: Pass | GPL-3.0-only | |
| Unraiddinglebear-ai/unraid | 135 | — | ~5.4k | Automated safety check: Notes | MIT | |
| Cosmos3 Env TroubleshootNVIDIA/cosmos-framework | 558 | — | ~1.3k | Automated safety check: Notes | Custom licence | |
| Generate Nemo Gym Envadithya-s-k/FineEnvs | 443 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 |
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 用户态安全入侵检测与取证工具，专为 AI Agent 设计。自动判断服务器是否被入侵， 提供完整证据链和可执行修复建议。51 个安全分析器覆盖进程/网络/认证/持久化/Rootkit/ 恶意软件/内存取证/容器逃逸等 12 类检测维度，10 个数据采集器全面采集系统状态， 映射 103+ MITRE ATT&CK 技术，支持 standalone/docker/k8s 三种部署模式。
sandia-minimega/minimega
This skill should be used when the user asks how to configure, run, automate, integrate, or troubleshoot minimega (VMs, namespaces, VLANs, clusters, miniccc, miniweb, command socket or Python API…
dinglebear-ai/unraid
This skill should be used when the user mentions Unraid, asks to check server health, monitor array or disk status, list or restart Docker containers, start or stop VMs, read system logs, check…
NVIDIA/cosmos-framework
Diagnose and fix Cosmos3 environment, installation, and runtime errors.
adithya-s-k/FineEnvs
Builds a NeMo Gym (NVIDIA) variant of an RL environment. An agent skill from adithya-s-k/FineEnvs.
liveblog/liveblog
Run a local Liveblog development environment. An agent skill from liveblog/liveblog.
dmccreary/ibook-skills
Publishes and promotes a finished intelligent textbook - GitHub README with badges and site statistics, LinkedIn announcement posts, LinkedIn carousel document posts (PPTX/PDF slideshows), and…
dmccreary/ibook-skills
Generates a 13-slide LinkedIn carousel (a "document post" — PPTX/PDF) that showcases an intelligent textbook's key features, with real screenshots, mascot art, and metrics pulled from the project.
dmccreary/ibook-skills
A skill your agent uses when the user wants an existing MicroSim or chapter quiz to record what students do with it.
dmccreary/ibook-skills
Generates a status report of all diagrams and MicroSims across an intelligent textbook's chapters, including difficulty, Bloom's level, and UI complexity.
dmccreary/ibook-skills
Converts .docx files (papers, briefs, reports) into styled React component pages in a Next.js content-catalog site.
dmccreary/ibook-skills
Generates media for intelligent textbooks - slide decks and presentations (MARP web decks in docs/slides/ or PowerPoint .pptx lecture downloads), illustrated stories and graphic novels…
Categories
Generates an interactive Docker Python lab block for MkDocs textbook pages, where students write and run real Python code inside an isolated Docker container. Docker Python Lab is an agent skill from dmccreary/ibook-skills. Generates an interactive Docker Python lab block for MkDocs textbook pages, where students write and run real Python code inside an isolated Docker container.
Docker Python Lab fits situations like: someone asks to add a Python lab; interactive Python exercise; runnable code block to a textbook page that uses Docker (not Skulpt); adding multiple labs to a single page.
Run `npx skills add dmccreary/ibook-skills --skill docker-python-lab -a claude-code`. Or copy the skill folder (skills/archived/docker-python-lab in dmccreary/ibook-skills) into .claude/skills/docker-python-lab in your project. Claude Code loads it when a task matches its description.
Run `npx skills add dmccreary/ibook-skills --skill docker-python-lab -a codex`. Or copy the skill folder (skills/archived/docker-python-lab in dmccreary/ibook-skills) into .agents/skills/docker-python-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 dmccreary/ibook-skills --skill docker-python-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/docker-python-lab, .gemini/skills/docker-python-lab, .github/skills/docker-python-lab and .opencode/skills/docker-python-lab in your project.
Going by SKILL.md and its folder, Docker Python Lab needs JavaScript for the scripts in its folder. Our summary lists: Python 3; Node.js; Docker.
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.
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 Docker Python Lab or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Docker Python Lab: Alibabacloud Ecs Sec Userspace (aliyun/alibabacloud-ecs-troubleshoot-skills, 148 stars), Minimega (sandia-minimega/minimega, 160 stars), Unraid (dinglebear-ai/unraid, 135 stars) and Cosmos3 Env Troubleshoot (NVIDIA/cosmos-framework, 558 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
dmccreary (a GitHub user) maintains it in dmccreary/ibook-skills, which has 105 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 7, 2026.
Source: dmccreary/ibook-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
