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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Selectively monitor important long-running or resource-intensive commands with Haoleme by prefixing them with hao, so status, output, and completion notifications sync to the mobile app. | HaolemeApp/ | 157 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 2 | 2.Release Meerschaum release process — bump version, update changelog, stage dev→main PR, run CI, publish to PyPI, tag, GitHub release, build/push Docker images, rebuild docs on prod VPS. | bmeares/ | 154 | — | ~1.1k | Automated safety check: Notes | Apache-2.0 | today |
| 3 | Build and deploy all sample-bot zip files into the target folder. | robocode-dev/ | 269 | — | ~369 | Automated safety check: Notes | MIT | 3 days ago |
| 4 | Guides an agent through designing an MLOps pipeline that covers data preparation, training, validation and deployment, with DAG orchestration and reference guides. | wshobson/ | 40k | 12 repos | ~1.8k | Automated safety check: Pass | MIT | 6 days ago |
| 5 | Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. | affaan-m/ | 277k | 1 repo | ~5.6k | Automated safety check: Pass | MIT | today |
| 6 | Expert guidance for the Fabric CLI (fab) and the Fabric and Power BI REST APIs: workspaces, items, lakehouses, notebooks, pipelines, semantic models, reports, capacities, OneLake, deployment and… | data-goblin/ | 1k | — | ~10k | Automated safety check: Pass | GPL-3.0 | today |
| 7 | Upgrades an MWAA environment to a newer Airflow version — within 2.x, within 3.x, or across the 2.x-to-3.x boundary. | aws/ | 2.8k | — | ~7.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 8 | Configure CI/CD pipelines for Apify Actor builds and deployments. | jeremylongshore/ | 2.8k | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 9 | Production readiness checklist for Apify Actor deployments. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 10 | Deploy a Firecrawl v2 client integration or a reviewed self-hosted stack with secrets, canaries, health evidence, and rollback controls. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 11 | A skill your agent uses when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model… | borghei/ | 891 | — | ~1.7k | Automated safety check: Pass | MIT | 4 days ago |
| 12 | Detect and classify telemetry anomalies on Cognitum Seed devices. | ruvnet/ | 74k | — | ~210 | Automated safety check: Pass | MIT | yesterday |
| 13 | 13.Chart Image Generate publication-quality chart images from data. An agent skill from sundial-org/awesome-openclaw-skills. | sundial-org/ | 663 | — | ~1.3k | Automated safety check: Pass | No licence | 7 mo ago |
| 14 | Provides AWS CloudFormation patterns for CloudWatch monitoring, metrics, alarms, dashboards, logs, and observability. | giuseppe-trisciuoglio/ | 357 | — | ~3.7k | Automated safety check: Notes | MIT | 1 mo ago |
| 15 | Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues. | aiskillstore/ | 433 | — | ~1.1k | Automated safety check: Pass | No licence | yesterday |
| 16 | 16.Prefect Prefect is a modern workflow orchestration framework for Python data pipelines. | Kilo-Org/ | 190 | 1 repo | ~1.4k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 17 | 17.Mlnet Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations. | managedcode/ | 486 | — | ~559 | Automated safety check: Pass | MIT | yesterday |
| 18 | A skill your agent uses when designing or auditing the evaluation of an ACM CoNEXT paper — matching evidence to claim shape with real testbeds and deployments, honest and tuned baselines… | brycewang-stanford/ | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | 14 days ago |
| 19 | Build machine vision inspection systems with MATLAB Visual Inspection Toolbox. | matlab/ | 1.1k | — | ~3.1k | Automated safety check: Pass | Unknown | 2 days ago |
| 20 | Expert knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding… | MicrosoftDocs/ | 776 | — | ~1.8k | Automated safety check: Pass | CC-BY-4.0 | 5 days ago |