GitHub
ml-experiment
Track ML experiments with proper logging and reproducibility. Use when training models or running experiments.
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Research AI Skills
Discover Research skills, compare source repositories and read the instructions for each workflow.
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GitHub
python-venv
Manage Python virtual environments and dependencies. Use when setting up projects or installing packages.
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GitHub
git-commit
Create conventional commit messages. Use when committing changes or writing commit messages.
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GitHub
issue-triage
Triage and manage GitHub issues. Use when reviewing issues or planning work.
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GitHub
python-development
Use when writing Python code for clean, performant, and idiomatic implementations
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GitHub
quality-engineering
Use when designing test strategies, implementing test automation, or establishing QA processes
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GitHub
verification-checklist
Use before marking any task complete to ensure all requirements are met
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GitHub
git-workflow
Use when managing Git branches, creating commits, or preparing pull requests
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GitHub
oracle-consultation
Use before invoking Oracle to ensure appropriate usage of this expensive reasoning resource
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GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior before proposing fixes
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GitHub
delivery-and-infra
Use when designing multi-cloud infrastructure, CI/CD pipelines, or Kubernetes deployment strategies
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GitHub
aws-development
Use when developing applications for AWS cloud platform with best practices and cost optimization
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GitHub
parallel-exploration
Use when researching unfamiliar code, multiple modules involved, or external libraries referenced
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GitHub
nix-guidelines
Use when writing Nix code for flakes, modules, or packages
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GitHub
frontend-delegation
Use when touching frontend files to classify visual vs logic changes before acting
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GitHub
rust-development
Use when writing Rust code for memory safety, performance, and systems programming
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GitHub
review-architecture
Use when reviewing code for architectural consistency, designing backend systems, or evaluating structural changes
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GitHub
codebase-assessment
Use when starting open-ended tasks in unfamiliar codebases, before following existing patterns
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GitHub
performance-engineering
Use when optimizing performance, profiling bottlenecks, or architecting for scale
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GitHub
test-driven-development
Use when implementing any feature or bugfix before writing implementation code
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GitHub
review-code-quality
Use when reviewing code for quality, security vulnerabilities, and best practices
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GitHub
data-and-sql
Use when writing SQL queries, optimizing database performance, or analyzing data
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GitHub
security
Security patterns for the 3SC widget host. Covers credential storage, input validation, secure coding practices, and protecting user data.
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GitHub
error-handling
Global error handling for the 3SC widget host. Covers exception handling, crash reporting, user-friendly error surfaces, and recovery strategies.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.