Repository
open-edge-platform/anomalib agent skills
- skills
- 17
- GitHub stars
- 6.2k
GitHub description: “An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.”
- Stars
- 6,226 (1,000 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- Nov 2021
- anomaly-localization
- anomaly-segmentation
- anomaly-detection
- unsupervised-learning
- neural-network-compression
- openvino
- geti
Install all skills
npx skills add open-edge-platform/anomalibAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in open-edge-platform/anomalib, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Adds a new dataset/datamodule to anomalib under src/anomalib/data/. | open-edge-platform/ | 6.2k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Adds a new anomaly-detection model to anomalib under src/anomalib/models/. | open-edge-platform/ | 6.2k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Runs the anomalib benchmarking pipeline to train/evaluate a grid of model + dataset (+ category) combinations and collect metrics into a results CSV. | open-edge-platform/ | 6.2k | — | ~1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Runs and configures the anomalib tiled-ensemble pipeline, which trains/evaluates one model per image tile and merges results (with optional seam smoothing) for high-resolution anomaly detection. | open-edge-platform/ | 6.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Trains an anomalib model on a dataset via the Python API or CLI, including training on a custom folder-structured dataset with the Folder datamodule. | open-edge-platform/ | 6.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages. | open-edge-platform/ | 6.2k | — | ~874 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | A skill your agent uses when writing or updating Anomalib Studio UI component or hook tests that need the shared render/renderHook helpers, React Router paths or parameters, React Query, theme… | open-edge-platform/ | 6.2k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 8 | Run or continue model benchmarks, collect measured results, and refresh README/docs benchmark sections from generated artifacts. | open-edge-platform/ | 6.2k | — | ~808 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | Designs and reviews REST APIs for FastAPI services using consistent resource naming, HTTP semantics, validation, security, and error handling patterns. | open-edge-platform/ | 6.2k | — | ~838 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 10 | Enforces Google-style Python docstrings for Python code. An agent skill from open-edge-platform/anomalib. | open-edge-platform/ | 6.2k | — | ~571 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 11 | Reviews anomalib docstrings, documentation updates, and changelog expectations | open-edge-platform/ | 6.2k | — | ~660 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 12 | Keep anomalib model READMEs, docs pages, image assets, and benchmark/result references in sync | open-edge-platform/ | 6.2k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 13 | 13.Models Data Reviews anomalib model, data, callback, metric, and CLI integration conventions | open-edge-platform/ | 6.2k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 14 | 14.PR Workflow Reviews anomalib contributor workflow, PR title, branch naming, and quality gate expectations | open-edge-platform/ | 6.2k | — | ~592 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 15 | 15.Python Style Reviews anomalib Python style, typing, imports, and public API conventions | open-edge-platform/ | 6.2k | — | ~689 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 16 | 16.Testing Review/generate unit, integration, and regression test expectations | open-edge-platform/ | 6.2k | — | ~531 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 17 | Review/generate third-party code attribution, licensing, and notice requirements | open-edge-platform/ | 6.2k | — | ~599 | Automated safety check: Pass | Apache-2.0 | yesterday |
Questions, answered from the data.
What is the best skill in open-edge-platform/anomalib?
Anomalib Adding A Datamodule from open-edge-platform/anomalib ranks first of the 17 skills in open-edge-platform/anomalib listed here, with the highest score: its repository has 6.2k GitHub stars, its SKILL.md loads about 3.7k tokens and it passes the automated safety check with no findings. Next come Anomalib Adding A Model and Anomalib Benchmarking.
Are the skills in open-edge-platform/anomalib official?
None yet. All 17 skills in open-edge-platform/anomalib 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 open-edge-platform/anomalib?
Run npx skills add open-edge-platform/anomalib 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.