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yamyam-lab

yamyam-lab contains 7 collected skills from lunch-corp, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
7
Stars
6
updated
2026-03-17
Forks
3
Occupation coverage
3 occupation categories · 100% classified
repository explorer

Skills in this repository

pr-reviewer
software-quality-assurance-analysts-and-testers

Review GitHub pull requests with code analysis, verification, and feedback. Use when the user asks to review a PR, provides a PR URL, or invokes /pr-reviewer. Analyzes code changes, runs project verification skills, posts line-level review comments, and approves or requests changes.

2026-03-17
manage-skills
software-developers

Analyzes session changes to detect missing verification skills. Dynamically explores existing skills, creates new skills or updates existing ones, and manages CLAUDE.md.

2026-02-14
verify-code-convention
software-developers

Verifies PEP 8 naming, type hints, ruff compliance, import ordering, and project-specific conventions. Use after adding or modifying Python code.

2026-02-14
verify-config-consistency
software-quality-assurance-analysts-and-testers

Validates Hydra config files have required sections, correct YAML structure, and that referenced _target_ classes and data paths exist. Use after adding or modifying model configs.

2026-02-14
verify-implementation
software-quality-assurance-analysts-and-testers

Sequentially executes all verify skills in the project to generate an integrated verification report. Use after feature implementation, before PRs, or during code review.

2026-02-14
verify-model-registration
data-scientists-152051

Verifies new models are properly registered in TrainerFactory, have Hydra configs, train.py routing, and implement all BaseTrainer abstract methods. Use after adding a new model.

2026-02-14
verify-test-coverage
software-quality-assurance-analysts-and-testers

Verifies that new models, trainers, and pipeline components have corresponding unit tests and integration tests. Use after adding new models or modifying training pipeline.

2026-02-14