Repository
albumentations-team/AlbumentationsX agent skills
- skills
- 10
- GitHub stars
- 567
GitHub description: “Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.”
- Stars
- 567 (44 forks)
- Licence
- AGPL-3.0
- Last push
- Oct 2026
- Created
- Jun 2025
- Homepage
- albumentations.ai/pricing
- data-augmentation
- deep-learning
- deeplearning
- image-augmentation
- image-classification
- image-processing
- instance-segmentation
- object-detection
- python
- image-segmentations
- 3d
- augmentation
- bounding-box
- computer-vision
- keypoint-detection
- machine-learning
Install all skills
npx skills add albumentations-team/AlbumentationsXAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in albumentations-team/AlbumentationsX, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Policy for AlbumentationsX transforms that combine multiple images or objects. | albumentations-team/ | 567 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 | today |
| 2 | Generate release notes for AlbumentationsX. An agent skill from albumentations-team/AlbumentationsX. | albumentations-team/ | 567 | — | ~685 | Automated safety check: Pass | AGPL-3.0 | today |
| 3 | Systematic performance audit for AlbumentationsX runtime code. | albumentations-team/ | 567 | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 | today |
| 4 | Full checklist for adding a new transform to AlbumentationsX. | albumentations-team/ | 567 | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 | today |
| 5 | Review public AlbumentationsX docstrings for useful descriptions, runnable examples, parameter semantics, and related transforms. | albumentations-team/ | 567 | — | ~534 | Automated safety check: Pass | AGPL-3.0 | today |
| 6 | Maintain AlbumentationsX license, CLA, provenance notices, and packaged legal artifacts consistently. | albumentations-team/ | 567 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 | today |
| 7 | After completing code changes, runs tests and pre-commit, then iteratively fixes failures until all pass. | albumentations-team/ | 567 | — | ~847 | Automated safety check: Pass | AGPL-3.0 | today |
| 8 | Use the repo internal/ directory for anything that must not be committed — scratch files, temporary outputs, local demos, Codex artifacts, or one-off scripts. | albumentations-team/ | 567 | — | ~338 | Automated safety check: Pass | AGPL-3.0 | today |
| 9 | Measure AlbumentationsX runtime changes with paired baseline and candidate benchmarks on the affected routes. | albumentations-team/ | 567 | — | ~900 | Automated safety check: Pass | AGPL-3.0 | today |
| 10 | Review an AlbumentationsX transform for correctness, public API coherence, performance, documentation, and test coverage. | albumentations-team/ | 567 | — | ~973 | Automated safety check: Pass | AGPL-3.0 | today |
Questions, answered from the data.
What is the best skill in albumentations-team/AlbumentationsX?
Mixing Transforms from albumentations-team/AlbumentationsX ranks first of the 10 skills in albumentations-team/AlbumentationsX listed here, with the highest score: its repository has 567 GitHub stars, its SKILL.md loads about 1.3k tokens and it passes the automated safety check with no findings. Next come Release Notes and Performance Optimization.
Are the skills in albumentations-team/AlbumentationsX official?
None yet. All 10 skills in albumentations-team/AlbumentationsX listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from albumentations-team/AlbumentationsX?
Run npx skills add albumentations-team/AlbumentationsX in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.