GitHub
migration-assistant
Expert in code migrations, version upgrades, breaking change handling, automated codemods, deprecation warnings, and migration testing
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databases cicd AI Skills
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GitHub
git-ci-cd-manager
Automate Git workflow with conventional commits, setup GitHub Actions CI/CD, configure Husky hooks, manage PR automation, and handle semantic releases
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GitHub
deploy-helper
Helps with deployment tasks and scripts
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GitHub
quality-gates
This skill should be used when the user wants to run code quality checks (linting, formatting, type checking, tests) on the lazyopencode project. Use this skill when asked to "run quality gates", "check the cod...
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GitHub
code-review-orchestrator
Delegate specialized reviews to subagents and synthesize their findings. Use when reviewing code.
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GitHub
incremental-implementation
Use when building multi-day features, avoiding long-lived branches, features taking >1 day, changes touching multiple systems, or high-risk changes needing gradual rollout - break features into deployable incre...
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GitHub
verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
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GitHub
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent fo...
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GitHub
executing-plans
AI agent follows implementation plans systematically with progress tracking, quality gates, and blocker resolution. Use when implementing features, following plans, or executing tasks.
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GitHub
docker
Docker containerization with best practices for builds, compose, and production deployment
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GitHub
project-orchestration
Orchestrate autonomous project development through state-driven execution
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GitHub
model-deployment
Model deployment strategies including serving infrastructure, containerization, model packaging, versioning, and production deployment patterns.
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GitHub
automating-with-github-actions
The agent implements GitHub Actions CI/CD workflows with builds, tests, and deployments. Use when setting up continuous integration, automating deployments, creating reusable actions, or implementing security s...
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GitHub
ml-workflow
ML development workflow covering experiment design, baseline establishment, iterative improvement, and experiment tracking best practices.
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GitHub
requesting-code-reviews
AI agent requests effective code reviews through proper preparation, clear descriptions, and appropriate reviewer selection. Use when creating PRs, requesting feedback, or submitting for review.
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GitHub
verifying-before-completion
AI agent validates work through evidence-based verification with comprehensive checklists, automated validation, and proof-of-work documentation. Use when completing tasks, preparing for review, or ensuring qua...
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GitHub
guardrails-safety
Protecting AI applications - input/output guards, toxicity detection, PII protection, injection defense, constitutional AI. Use when securing AI systems, preventing misuse, or ensuring compliance.
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GitHub
developing-test-driven
AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices.
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GitHub
feature-flags-and-progressive-delivery
The agent implements feature flag systems for trunk-based development, canary releases, and A/B testing. Use when implementing gradual rollouts, kill switches, or experiment-driven development.
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GitHub
contract-testing
Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.
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GitHub
workflow-config-system
The agent implements a centralized workflow configuration system for Git workflows, enabling set-once-use-everywhere automation for trunk-based development, gitflow, and github-flow patterns with integrated tes...
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GitHub
avoiding-testing-anti-patterns
AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality.
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GitHub
orchestrating-with-kubernetes
The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...
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GitHub
finishing-development-branches
AI agent completes development branches with comprehensive quality gates, clean git history, and thorough PR preparation. Use when wrapping up features, preparing for merge, or finalizing PRs.
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