Agent skill

Glossary

by lightly-ai in lightly-ai/lightly-studio

Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages.

Apache-2.0Auto-check passedDevelopment

Install Glossary

skills CLI
$ npx skills add lightly-ai/lightly-studio --skill glossary -a claude-code

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

GitHub CLI
$ gh skill install lightly-ai/lightly-studio glossary --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/lightly-ai/lightly-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/glossary .claude/skills/glossary && 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
GitHub stars
896
Token cost
~482 tokens
SKILL.md length
193 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
Apache-2.0

At a glance

Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages.

  • Tasks that involve Technical documentation
  • SKILL.md covers Annotations and Data ingestion
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Glossary is an agent skill from lightly-ai/lightly-studio. Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages. Gives the approved LightlyStudio term for each concept and the wording to avoid, currently covering annotations, annotation classes, annotation sources, labeling, and ingestion.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Technical documentation. It works with Python. The repository describes itself as: LightlyStudio - The Unified Data Platform for Multimodal ML. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Technical documentation

Example prompts

  • “/glossary”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit d4257ff. 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.

Context cost

Glossary loads about 482 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 193 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~482

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 lightly-ai/lightly-studio at commit d4257ff, republished under its Apache-2.0 licence (© lightly-ai). 193 words, ~482 tokens.

Download SKILL.mdSave it as .claude/skills/glossary/SKILL.md (or your agent's skills folder).
name
glossary
description
Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages. Gives the approved LightlyStudio term for each concept and the wording to avoid, currently covering annotations, annotation classes, annotation sources, labeling, and ingestion.

Glossary and Naming

Terminology for LightlyStudio.

Use the Term for all user-facing parts: the GUI, the docs, and the public Python API (names, arguments, docstrings, and error messages). Internal implementation names (database tables and columns, resolvers, REST JSON fields, and the generated frontend client) are exempt.

Add new topics as their own ## section below.

Annotations

ConceptTermPython identifierAvoid
A classification, object-detection box, or segmentation mask attached to a sampleannotation-label, annotation label
The category of an annotation, e.g. "dog", "cat"annotation classclass_namelabel, label class, annotation label
A group of annotations, e.g. ground truth, a model's predictionsannotation sourceannotation_sourceannotation collection, collection, collection name, label source
Creating annotationslabeling-the noun 'label'

Data ingestion

ConceptTermAvoid
Images added without any annotationsraw imagesimage folder, unlabeled images
Videos added without any annotationsraw videosvideo folder
Adding samples to a dataset from any source, for example with add_images_from_path or add_samples_from_cocoingestion (verb: ingest)import
Adding annotations to samples that are already in the dataset, for example with add_annotations_from_yoloadd annotationsimport

Do not use "import" for data. It reads like the Python import in nearby code blocks.

© lightly-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/glossary of lightly-ai/lightly-studio.

Open the folder on GitHubat commit d4257ff

Compare with similar skills

Glossary 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Glossary this skilllightly-ai/lightly-studio896—~482Automated safety check: PassApache-2.0
Adk Sample Creatorgoogle/adk-python22k—~1.3kAutomated safety check: PassApache-2.0
Docstring Deep Divealbumentations-team/AlbumentationsX567—~534Automated safety check: PassAGPL-3.0
Swarmauri Add Community Standaloneswarmauri/swarmauri-sdk104—~387Automated safety check: PassApache-2.0
Phoenix Docs Gap AuditArize-ai/phoenix12k—~4.8kAutomated safety check: PassCustom licence
Swarmauri Add Experimental Standaloneswarmauri/swarmauri-sdk104—~457Automated safety check: PassApache-2.0

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  • Backend Guide

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    Read when opening a pull request, writing a PR description, splitting work into PRs, or deciding whether a change is too large to review.

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Works with

Questions about Glossary

What does Glossary do?

Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages. Glossary is an agent skill from lightly-ai/lightly-studio. Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages.

When should I use Glossary?

Glossary fits situations like: tasks that involve Technical documentation.

How do I install Glossary in Claude Code?

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

How do I install Glossary in Codex?

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

Can I use Glossary 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 lightly-ai/lightly-studio --skill glossary -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, .gemini/skills/glossary, .github/skills/glossary and .opencode/skills/glossary in your project.

What does Glossary need to run?

SKILL.md names no scripts, command-line tools or credentials: Glossary is instructions for the agent only. Our summary lists: Python 3.

Does Glossary 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 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 use?

Glossary is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Glossary use?

About 482 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Glossary?

Skills that share tags, products or a category with Glossary: Adk Sample Creator (google/adk-python, 22k stars), Docstring Deep Dive (albumentations-team/AlbumentationsX, 567 stars), Swarmauri Add Community Standalone (swarmauri/swarmauri-sdk, 104 stars) and Phoenix Docs Gap Audit (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Glossary?

lightly-ai (a GitHub organization) maintains it in lightly-ai/lightly-studio, which has 896 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 9, 2026.

Source: lightly-ai/lightly-studio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.