GitHub
python-development
Use when writing Python code for clean, performant, and idiomatic implementations
trash-panda-v91-beta AI Skills
GitHub ↗Explorez les skills IA publiés de trash-panda-v91-beta et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
20Étoiles des dépôts des skills indexés
18Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
quality-engineering
Use when designing test strategies, implementing test automation, or establishing QA processes
GitHub
verification-checklist
Use before marking any task complete to ensure all requirements are met
GitHub
git-workflow
Use when managing Git branches, creating commits, or preparing pull requests
GitHub
oracle-consultation
Use before invoking Oracle to ensure appropriate usage of this expensive reasoning resource
GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior before proposing fixes
GitHub
delivery-and-infra
Use when designing multi-cloud infrastructure, CI/CD pipelines, or Kubernetes deployment strategies
GitHub
aws-development
Use when developing applications for AWS cloud platform with best practices and cost optimization
GitHub
parallel-exploration
Use when researching unfamiliar code, multiple modules involved, or external libraries referenced
GitHub
nix-guidelines
Use when writing Nix code for flakes, modules, or packages
GitHub
frontend-delegation
Use when touching frontend files to classify visual vs logic changes before acting
GitHub
rust-development
Use when writing Rust code for memory safety, performance, and systems programming
GitHub
review-architecture
Use when reviewing code for architectural consistency, designing backend systems, or evaluating structural changes
GitHub
codebase-assessment
Use when starting open-ended tasks in unfamiliar codebases, before following existing patterns
GitHub
performance-engineering
Use when optimizing performance, profiling bottlenecks, or architecting for scale
GitHub
test-driven-development
Use when implementing any feature or bugfix before writing implementation code
GitHub
review-code-quality
Use when reviewing code for quality, security vulnerabilities, and best practices
GitHub
data-and-sql
Use when writing SQL queries, optimizing database performance, or analyzing data
GitHub
delivery-and-infra
Use when designing cloud infrastructure, CI/CD pipelines, or deployment strategies
GitHub
quality-engineering
Use when designing test strategies, implementing test automation, or optimizing performance
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.