Agent skill

Glossary Generator

by dmccreary in dmccreary/ibook-skills

Generates a glossary from the learning graph's concept list with ISO 11179-compliant definitions (precise, concise, non-circular).

No licenceAuto-check passedAI & LLM Engineering

Install Glossary Generator

skills CLI
$ npx skills add dmccreary/ibook-skills --skill glossary-generator -a claude-code

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

GitHub CLI
$ gh skill install dmccreary/ibook-skills glossary-generator --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/dmccreary/ibook-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/glossary-generator .claude/skills/glossary-generator && 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
glossary-generator
GitHub stars
105
Token cost
~4.5k tokens
SKILL.md length
2,043 words
Files
2 (incl. references)
Skills in repo
32
Repo updated
First seen
Licence
None found

At a glance

Generates a glossary from the learning graph's concept list with ISO 11179-compliant definitions (precise, concise, non-circular).

  • Works in 10 steps: Validate Input Quality → Read Course Context → Generate Definitions Using a Single… → …
  • AI & LLM Engineering work in your project
  • SKILL.md covers TOKEN EFFICIENCY WARNING, Purpose, When to Use This Skill and Workflow, plus 4 more sections
  • Calls python3

What it does

Glossary Generator is an agent skill from dmccreary/ibook-skills. Generates a glossary from the learning graph's concept list with ISO 11179-compliant definitions (precise, concise, non-circular). Use after the learning graph concept list is finalized.

Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/iso-11179-standards.md`).

It sits in AI & LLM Engineering.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “Use the glossary-generator skill to generate a glossary from the learning graph's concept list with ISO 11179-compliant definitions (precise…”
  • “/glossary-generator”

Requirements

  • Python 3

Workflow steps

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

  1. Validate Input Quality
  2. Read Course Context
  3. Generate Definitions Using a Single Serial Agent
  4. Add Examples (60-80% of terms)
  5. Add Cross-References
  6. Assemble Glossary File Using a Python Script
  7. Generate Quality Report
  8. Validate Output
  9. Update Navigation (Optional)
  10. Generate Cross-Reference Index (Optional)

What it can do on your machine

Read from SKILL.md and the folder at commit 98a9991. 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:

    • python3

    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

Glossary Generator loads about 4.5k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 2,043 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.7k

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 2,043 words (~4,459 tokens).

name
glossary-generator
metadata.ibook.version
1.0
metadata.ibook.preferred-model
sonnet

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in skills/glossary-generator of dmccreary/ibook-skills.

  • SKILL.md
  • references/iso-11179-standards.md

Open the folder on GitHubat commit 98a9991

Compare with similar skills

Glossary Generator 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.

Glossary Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Glossary Generator this skilldmccreary/ibook-skills105—~4.5kAutomated safety check: PassNone
Agent BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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Questions about Glossary Generator

What does Glossary Generator do?

Generates a glossary from the learning graph's concept list with ISO 11179-compliant definitions (precise, concise, non-circular). Glossary Generator is an agent skill from dmccreary/ibook-skills. Generates a glossary from the learning graph's concept list with ISO 11179-compliant definitions (precise, concise, non-circular).

When should I use Glossary Generator?

Glossary Generator fits situations like: AI & LLM Engineering work in your project.

How do I install Glossary Generator in Claude Code?

Run `npx skills add dmccreary/ibook-skills --skill glossary-generator -a claude-code`. Or copy the skill folder (skills/glossary-generator in dmccreary/ibook-skills) into .claude/skills/glossary-generator in your project. Claude Code loads it when a task matches its description.

How do I install Glossary Generator in Codex?

Run `npx skills add dmccreary/ibook-skills --skill glossary-generator -a codex`. Or copy the skill folder (skills/glossary-generator in dmccreary/ibook-skills) into .agents/skills/glossary-generator in your project. Codex loads it when a task matches its description.

Can I use Glossary Generator 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 dmccreary/ibook-skills --skill glossary-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/glossary-generator, .gemini/skills/glossary-generator, .github/skills/glossary-generator and .opencode/skills/glossary-generator in your project.

What does Glossary Generator need to run?

Going by SKILL.md and its folder, Glossary Generator needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Glossary Generator 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 Glossary Generator 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 Glossary Generator use?

No licence was found for Glossary Generator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Glossary Generator use?

About 4.5k tokens (SKILL.md is roughly 18k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Glossary Generator?

Skills that share tags, products or a category with Glossary Generator: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Glossary Generator?

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 9, 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.