Adk Sample Creator
google/adk-python
Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.
Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages.
$ npx skills add lightly-ai/lightly-studio --skill glossary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lightly-ai/lightly-studio glossary --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/lightly-ai/lightly-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/glossary .claude/skills/glossary && 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 "glossary" agent skill from https://github.com/lightly-ai/lightly-studio/tree/main/.agents/skills/glossary into .claude/skills/glossary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glossary", 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/lightly-ai/lightly-studio/tree/main/.agents/skills/glossaryType 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 lightly-ai/lightly-studio --skill glossary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lightly-ai/lightly-studio glossary --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lightly-ai/lightly-studio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/glossary .agents/skills/glossary && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "glossary" agent skill from https://github.com/lightly-ai/lightly-studio/tree/main/.agents/skills/glossary into .agents/skills/glossary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glossary", 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 lightly-ai/lightly-studio --skill glossary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lightly-ai/lightly-studio glossary --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lightly-ai/lightly-studio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/glossary .cursor/skills/glossary && 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 "glossary" agent skill from https://github.com/lightly-ai/lightly-studio/tree/main/.agents/skills/glossary into .cursor/skills/glossary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glossary", 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/lightly-ai/lightly-studio.git --path .agents/skills/glossary--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 lightly-ai/lightly-studio --skill glossary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lightly-ai/lightly-studio glossary --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lightly-ai/lightly-studio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/glossary .gemini/skills/glossary && 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 "glossary" agent skill from https://github.com/lightly-ai/lightly-studio/tree/main/.agents/skills/glossary into .gemini/skills/glossary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glossary", 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 lightly-ai/lightly-studio glossaryInstalls 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 lightly-ai/lightly-studio --skill glossary -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lightly-ai/lightly-studio.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/glossary .github/skills/glossary && 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 "glossary" agent skill from https://github.com/lightly-ai/lightly-studio/tree/main/.agents/skills/glossary into .github/skills/glossary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glossary", 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 lightly-ai/lightly-studio --skill glossary -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lightly-ai/lightly-studio glossary --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lightly-ai/lightly-studio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/glossary .opencode/skills/glossary && 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 "glossary" agent skill from https://github.com/lightly-ai/lightly-studio/tree/main/.agents/skills/glossary into .opencode/skills/glossary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glossary", 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.
glossaryRead 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. 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.
Read from SKILL.md and the folder at commit d4257ff. 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.
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.
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.
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.
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.
The full file from lightly-ai/lightly-studio at commit d4257ff, republished under its Apache-2.0 licence (© lightly-ai). 193 words, ~482 tokens.
.claude/skills/glossary/SKILL.md (or your agent's skills folder).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.
| Concept | Term | Python identifier | Avoid |
|---|---|---|---|
| A classification, object-detection box, or segmentation mask attached to a sample | annotation | - | label, annotation label |
The category of an annotation, e.g. "dog", "cat" | annotation class | class_name | label, label class, annotation label |
| A group of annotations, e.g. ground truth, a model's predictions | annotation source | annotation_source | annotation collection, collection, collection name, label source |
| Creating annotations | labeling | - | the noun 'label' |
| Concept | Term | Avoid |
|---|---|---|
| Images added without any annotations | raw images | image folder, unlabeled images |
| Videos added without any annotations | raw videos | video folder |
Adding samples to a dataset from any source, for example with add_images_from_path or add_samples_from_coco | ingestion (verb: ingest) | import |
Adding annotations to samples that are already in the dataset, for example with add_annotations_from_yolo | add annotations | import |
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
Just SKILL.md in .agents/skills/glossary of lightly-ai/lightly-studio.
Open the folder on GitHubat commit d4257ff
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Glossary this skilllightly-ai/lightly-studio | 896 | — | ~482 | Automated safety check: Pass | Apache-2.0 | |
| Adk Sample Creatorgoogle/adk-python | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Docstring Deep Divealbumentations-team/AlbumentationsX | 567 | — | ~534 | Automated safety check: Pass | AGPL-3.0 | |
| Swarmauri Add Community Standaloneswarmauri/swarmauri-sdk | 104 | — | ~387 | Automated safety check: Pass | Apache-2.0 | |
| Phoenix Docs Gap AuditArize-ai/phoenix | 12k | — | ~4.8k | Automated safety check: Pass | Custom licence | |
| Swarmauri Add Experimental Standaloneswarmauri/swarmauri-sdk | 104 | — | ~457 | Automated safety check: Pass | Apache-2.0 |
google/adk-python
Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.
albumentations-team/AlbumentationsX
Review public AlbumentationsX docstrings for useful descriptions, runnable examples, parameter semantics, and related transforms.
swarmauri/swarmauri-sdk
Add a second-class standalone Swarmauri package under pkgs/community.
Arize-ai/phoenix
Audit documentation gaps across the Phoenix repo by analyzing recent commits to main (default: last 7 days).
swarmauri/swarmauri-sdk
Add an experimental standalone Swarmauri package under pkgs/experimental.
swarmauri/swarmauri-sdk
Add a Swarmauri plugin package under pkgs/plugins. An agent skill from swarmauri/swarmauri-sdk.
lightly-ai/lightly-studio
Read before adding or changing backend code in lightlystudio - FastAPI routes, services, resolvers, SQLModel tables, or database access.
lightly-ai/lightly-studio
Read before writing or reviewing any frontend code in lightlystudioview - Svelte, TypeScript, or SvelteKit files.
lightly-ai/lightly-studio
Read before writing or reviewing any Python code in this repository.
lightly-ai/lightly-studio
Read when opening a pull request, writing a PR description, splitting work into PRs, or deciding whether a change is too large to review.
lightly-ai/lightly-studio
Read when adding a new function, module, or component, or when a file is growing large enough that splitting it is worth considering.
Works with
Categories
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.
Glossary fits situations like: tasks that involve Technical documentation.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Glossary is instructions for the agent only. Our summary lists: Python 3.
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.
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.
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.
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.
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.