GitHub
agent-run-orchestrator
Run section orchestrators to coordinate multi-component workflows. Use when starting work on a section.
☆ 13Voir le skill
mvillmow AI Skills
GitHub ↗Explorez les skills IA publiés de mvillmow et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
85Étoiles des dépôts des skills indexés
1,105Forks du dépôt
340Moyenne des étoiles par skill indexé
13Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
extract-hyperparameters
Identify and document model hyperparameters from papers. Use when setting up training configurations.
☆ 13Voir le skill
GitHub
analyze-simd-usage
Analyze SIMD usage opportunities in Mojo code. Use to find performance optimization opportunities.
☆ 13Voir le skill
GitHub
verify-pr-ready
Verify a PR is ready for merge (CI passing, approvals, no conflicts). Use before merging to ensure all requirements met.
☆ 13Voir le skill
GitHub
identify-architecture
Analyze ML model architecture from papers and code. Use when understanding model structure for implementation.
☆ 13Voir le skill
GitHub
generate-api-docs
Create API reference documentation from docstrings. Use when documenting public module interfaces.
☆ 13Voir le skill
GitHub
benchmark-functions
Measure function performance and compare implementations. Use when optimizing critical code paths.
☆ 13Voir le skill
GitHub
prepare-dataset
Process and validate datasets for training. Use when setting up data pipelines.
☆ 13Voir le skill
GitHub
mojo-lint-syntax
Validate Mojo syntax against current v0.26.1+ standards. Use to catch syntax errors before compilation.
☆ 13Voir le skill
GitHub
suggest-optimizations
Identify performance optimization opportunities. Use when improving code efficiency.
☆ 13Voir le skill
GitHub
phase-implement
Coordinate implementation phase by delegating tasks and ensuring code quality. Use during implementation phase to manage engineer tasks.
☆ 13Voir le skill
GitHub
analyze-code-structure
Examine code organization and identify structural patterns. Use when reviewing module design or understanding architecture.
☆ 13Voir le skill
GitHub
fix-ci-failures
Diagnose and fix CI/CD failures by analyzing logs, reproducing locally, and applying fixes. Use when CI checks fail on pull requests.
☆ 13Voir le skill
GitHub
gh-get-review-comments
Retrieve all review comments from a pull request using the GitHub API. Use when you need to see what feedback has been provided on a PR.
☆ 13Voir le skill
GitHub
generate-fix-suggestions
Generate fix suggestions based on error patterns and best practices. Use when analyzing failures to get actionable remediation steps.
☆ 13Voir le skill
GitHub
calculate-coverage
Measure test coverage and identify untested code. Use when assessing test completeness.
☆ 13Voir le skill
GitHub
train-model
Execute model training with optimization algorithms. Use when running training loops on datasets.
☆ 13Voir le skill
GitHub
check-memory-safety
Check Mojo code for memory safety issues (ownership violations, use-after-free, etc.). Use to catch memory bugs.
☆ 13Voir le skill
GitHub
detect-code-smells
Identify code quality issues and anti-patterns. Use when reviewing code for maintainability problems.
☆ 13Voir le skill
GitHub
quality-security-scan
Scan code for security vulnerabilities and unsafe patterns. Use before committing sensitive code or in security reviews.
☆ 13Voir le skill
GitHub
check-dependencies
Validate and verify dependencies are available and compatible. Use when setting up environments.
☆ 13Voir le skill
GitHub
evaluate-model
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
☆ 13Voir le skill
GitHub
validate-workflow
Validate GitHub Actions workflow files for syntax, best practices, and correctness. Use before committing workflow changes or when workflows fail.
☆ 13Voir le skill
GitHub
worktree-create
Create isolated git worktrees for parallel development. Use when working on multiple issues simultaneously.
☆ 13Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.