Agent Skills Hub

quality-fixer

Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.

repo-sync

Automated repository synchronization for multi-repo ecosystems, featuring intelligent failure diagnosis, auto-repair for Git state issues, and integrated ecosystem health checks.

subtask

Parallel task orchestration CLI for AI workers using isolated git workspaces.

ml-pipeline-workflow

Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.

orchestration-patterns

Framework for orchestrating long-running agentic tasks, evidence-based delivery, and automated QA gates following Simon Willison's iterative loop.

kagent

Expert guide for kagent: the Kubernetes-native framework for building, deploying, and managing AI agents, MCP tools, and A2A protocols.

plumb

Keep your technical specifications, test suites, and source code perfectly synchronized during AI-assisted development.

memory

Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.

cloudformation

AWS CloudFormation skill for infrastructure as code, automated stack management, template authoring, drift detection, and troubleshooting across AWS environments.

git.pr.create

Automate pull request creation for Carbon ACX with comprehensive summaries, structured test plans, and standardized formatting using the GitHub CLI.

dod

Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.

test-reporting-analytics

Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.