Agent skill

Technical Book Lab Design

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Design hands-on technical nonfiction chapters as runnable labs, worked examples, exercises, checkpoints, troubleshooting paths, and reader outcomes.

MITAuto-check passed

Install Technical Book Lab Design

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill technical-book-lab-design -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins technical-book-lab-design --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/technical-book-lab-design .claude/skills/technical-book-lab-design && 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/

Facts

Skill name
technical-book-lab-design
GitHub stars
1.3k
Token cost
~855 tokens
SKILL.md length
380 words
Files
7 (incl. references)
Skills in repo
714
Repo updated
First seen
Licence
MIT

At a glance

Design hands-on technical nonfiction chapters as runnable labs, worked examples, exercises, checkpoints, troubleshooting paths, and reader outcomes.

  • Works in 5 steps: Name The Reader Outcome → Define The Starting State → Design The Path → …
  • Turning technical book sections
  • SKILL.md covers Core Lens, Reference Routing, Workflow and Output Format, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Technical Book Lab Design is an agent skill from hashgraph-online/awesome-codex-plugins. Design hands-on technical nonfiction chapters as runnable labs, worked examples, exercises, checkpoints, troubleshooting paths, and reader outcomes. Use when turning technical book sections, tutorials, self-hosting chapters, DevOps guides, programming lessons, or infrastructure explanations into practical labs that readers can complete and verify.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `agents/openai.yaml`, `references/core/checklist.md` and `references/core/examples.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Turning technical book sections
  • Self-hosting chapters
  • Programming lessons
  • Infrastructure explanations into practical labs that readers can complete and verify

Example prompts

  • “/technical-book-lab-design”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Name The Reader Outcome
  2. Define The Starting State
  3. Design The Path
  4. Add Failure Handling
  5. Close The Loop

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. 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.

    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.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Technical Book Lab Design loads about 855 tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 380 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~855
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

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 hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its MIT licence (© hashgraph-online). 380 words, ~855 tokens.

Download SKILL.mdSave it as .claude/skills/technical-book-lab-design/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
technical-book-lab-design
description
Design hands-on technical nonfiction chapters as runnable labs, worked examples, exercises, checkpoints, troubleshooting paths, and reader outcomes. Use when turning technical book sections, tutorials, self-hosting chapters, DevOps guides, programming lessons, or infrastructure explanations into practical labs that readers can complete and verify.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Technical Book Lab Design
metadata.category
Writing
metadata.tags
writing,books,nonfiction,technical-writing,tutorials

Technical Book Lab Design

Core Lens

A technical book lab is not a pile of commands. It is a guided reader transformation with a clear starting state, safe path, visible progress, expected output, and exit criteria. The reader should know what they built, why it works, how to verify it, and what to do when it fails.

Use this skill to design or improve:

  • Self-hosting chapters.
  • DevOps, infrastructure, programming, data, or security tutorials.
  • Worked examples and exercises.
  • Lab prerequisites and environment assumptions.
  • Checkpoints, expected outputs, and troubleshooting branches.

Reference Routing

NeedRead
Core lab concepts and terminologyreferences/core/knowledge.md
Lab design rulesreferences/core/rules.md
Before/after examplesreferences/core/examples.md
Lab review checklistreferences/core/checklist.md
Step-by-step lab designworkflows/design-runnable-lab.md

Workflow

1. Name The Reader Outcome

State what the reader will be able to do, decide, deploy, debug, or explain after the lab.

If the outcome is only "learn about X," sharpen it until there is visible proof of progress.

2. Define The Starting State

List what the reader already has and knows:

  • Required concepts.
  • Accounts, hardware, software, versions, and operating system.
  • Network, domain, DNS, permissions, credentials, or safety constraints.
  • Files or repo state.

Move missing prerequisites earlier, compress them, or link them to companion material.

3. Design The Path

Structure the lab as small checkpoints:

  • Explain the purpose before each action.
  • Give the smallest safe command or change.
  • Show expected output or state.
  • Add a quick verification.
  • Explain the next decision.
Show full SKILL.md (145 more words)Show less
4. Add Failure Handling

Technical readers do not only need the happy path.

  • List likely errors and what they mean.
  • Add rollback or cleanup steps where changes are risky.
  • Mark steps that expose services, change permissions, spend money, or affect data.
  • Tell readers when to stop and ask for help.
5. Close The Loop

End every lab with:

  • Final verification.
  • What the reader should understand now.
  • What they can safely change next.
  • Cleanup, maintenance, or security follow-up.

Output Format

When designing or reviewing a lab, return:

  1. Reader outcome and starting-state assumptions.
  2. Lab sequence with checkpoints.
  3. Expected outputs and verification steps.
  4. Troubleshooting table.
  5. Safety notes and cleanup.
  6. Suggested companion resources or prerequisites.

Quality Bar

Make the lab useful to a real reader in a real environment. Prefer concrete outputs, checkpoints, and failure handling over abstract explanation or untested command sequences.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in plugins/LVTD-LLC/skills/skills/technical-book-lab-design of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • references/core/checklist.md
  • references/core/examples.md
  • references/core/knowledge.md
  • references/core/rules.md
  • workflows/design-runnable-lab.md

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Technical Book Lab Design 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.

Technical Book Lab Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Technical Book Lab Design this skillhashgraph-online/awesome-codex-plugins1.3k—~855Automated safety check: PassMIT
Book Mirrorgarrytan/gbrain31k—~6.6kAutomated safety check: PassMIT
Day Booksickn33/agentic-awesome-skills47k1 repos~7kAutomated safety check: PassMIT
BookingsBuilderIO/agent-native7.1k—~345Automated safety check: PassNone
Hand Drawn Diagramsnexu-io/open-design100k—~336Automated safety check: PassApache-2.0
Ib Pitch Booknexu-io/open-design100k—~2kAutomated safety check: PassApache-2.0

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Questions about Technical Book Lab Design

What does Technical Book Lab Design do?

Design hands-on technical nonfiction chapters as runnable labs, worked examples, exercises, checkpoints, troubleshooting paths, and reader outcomes. Technical Book Lab Design is an agent skill from hashgraph-online/awesome-codex-plugins. Design hands-on technical nonfiction chapters as runnable labs, worked examples, exercises, checkpoints, troubleshooting paths, and reader outcomes.

When should I use Technical Book Lab Design?

Technical Book Lab Design fits situations like: turning technical book sections; self-hosting chapters; programming lessons; infrastructure explanations into practical labs that readers can complete and verify.

How do I install Technical Book Lab Design in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill technical-book-lab-design -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/technical-book-lab-design in hashgraph-online/awesome-codex-plugins) into .claude/skills/technical-book-lab-design in your project. Claude Code loads it when a task matches its description.

How do I install Technical Book Lab Design in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill technical-book-lab-design -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/technical-book-lab-design in hashgraph-online/awesome-codex-plugins) into .agents/skills/technical-book-lab-design in your project. Codex loads it when a task matches its description.

Can I use Technical Book Lab Design 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 hashgraph-online/awesome-codex-plugins --skill technical-book-lab-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technical-book-lab-design, .gemini/skills/technical-book-lab-design, .github/skills/technical-book-lab-design and .opencode/skills/technical-book-lab-design in your project.

What does Technical Book Lab Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Technical Book Lab Design is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Technical Book Lab Design 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 Technical Book Lab Design 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 Technical Book Lab Design use?

Technical Book Lab Design is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Technical Book Lab Design use?

About 855 tokens (SKILL.md is roughly 3.4k 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 3k tokens, read only when the agent opens those files.

What are the alternatives to Technical Book Lab Design?

Skills that share tags, products or a category with Technical Book Lab Design: Book Mirror (garrytan/gbrain, 31k stars), Day Book (sickn33/agentic-awesome-skills, 47k stars), Bookings (BuilderIO/agent-native, 7.1k stars) and Hand Drawn Diagrams (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Technical Book Lab Design?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.