Metaskill: A Meta-Skill for Autonomous AI Agent Team Generation
Skill Claude CodeCodex
Load the latest model checkpoint, run evaluation on the test set, and generate a metrics report with confusion matrix. Use this after training to assess model performance or to re-evaluate a specific checkpoint.
Skill Claude CodeCodex
Generate a comprehensive summary report of the latest experiment including metrics, plots, and comparison with baseline. Use this after training and evaluation to create a shareable experiment summary.
Skill Claude CodeCodex
Run the full data science pipeline: validate raw data, preprocess, engineer features, train model, and evaluate. Use this when you want to execute the end-to-end ML pipeline or re-run it after data or code changes.
Skill Claude CodeCodex
Run API integration tests against the running backend, verify endpoints return expected responses and status codes. Use after deploying a preview or starting the dev server.
Skill Claude CodeCodex
Install dependencies, run type checking, lint, tests, and build the project. Use after making code changes to verify nothing is broken.
Skill Claude CodeCodex
Build Docker images and launch a local preview environment with docker-compose. Use to test the full stack locally before merging.
Skill Claude CodeCodex
Build and launch the app in the iOS Simulator. Automatically selects an appropriate simulator device, boots it if needed, and installs and launches the app.
Skill Claude CodeCodex
The meta-skill: create AI agent teams, individual agents, or custom skills for any project. Use when the user wants to generate a complete .claude/ agent team, create a single agent, or create a single skill.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: