quality-fixer
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.
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205 skills found
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.
Automate release note generation from git commits. Categorizes changes, transforms technical jargon into user-friendly summaries, and supports CHANGELOG.md, PR bodies, and Slack announcements.
Expert code review agent that performs systematic audits of git changes for SOLID violations, security vulnerabilities, performance regressions, and architectural smells.
Manage, sync, and apply AI agent skills, kits, and presets using the Skills Hub CLI. Streamline your project setup by browsing catalogs, inspecting configurations, and deploying curated instruction policies and skill packages.
Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.
Secure, isolated cloud sandbox environments for executing AI-generated code, running multi-language scripts, managing file systems, and integrating tools via the E2B MCP gateway.
Build production-ready, reusable Terraform modules for multi-cloud infrastructure. Includes standardized patterns for AWS, Azure, GCP, and OCI with built-in testing and validation.
A comprehensive framework for creating, structuring, and managing reusable AI Agent Skills to standardize instruction-driven workflows.
Browser-based QA automation for web applications. Performs automated site audits, visual regression testing, user flow verification, and issue tracking with real-time browser snapshots.
Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.
Executes Gradle-based Java tests, filters results for failures and key statistics, and provides concise reports to streamline backend development and debugging.