Automation skills

This skill processes reviewer feedback, creates actionable todos, applies changes systematically, and validates updates to improve code quality.

This skill executes Python locally for bulk operations, delivering high token savings and accelerating multi-file workflows.

This skill helps bootstrap and improve projects by automating structure, tooling, documentation, and workflows for faster, professional setup.

This skill generates three diverse solutions in parallel for a task, then evaluates and selects the best with rationale.

This skill helps you break down feature requests into actionable, implementable plans with tasks, timelines, and clear integration points.

This skill analyzes files and retrieves metadata such as size, line counts, modification times, and content statistics to inform your decisions.

This skill generates comprehensive HTML technical documentation with code blocks, API workflows, architecture diagrams, and syntax highlighting to accelerate

This skill guides you through creating a new agent skill following the Agent Skills specification, including naming, tier selection, and registration.

This skill converts AI findings into deterministic lint rules that reliably catch exact AST patterns across Python projects.

This skill analyzes a repository to generate Claude Code settings.json read-only permissions tailored to detected tech stack and tools.

This skill helps you maintain AGENTS.md concisely by referencing local skills and applying minimal, header-driven documentation guidelines.

This skill guides you to annotate Airflow tasks with inlets and outlets to capture data lineage for datasets and assets.

This skill helps convert a dbt Core project into an Airflow DAG or TaskGroup using Cosmos, with setup validation and execution configuration.

This skill helps you deploy dbt Fusion projects with Cosmos by validating version, installing the Fusion binary, and configuring local execution.

This skill enables human-in-the-loop decision gates in Airflow by managing approvals, forms, and branching through HITL operators for deferrable workflows.

This skill generates a comprehensive table profile, including metadata, statistics, quality assessment, and practical queries to understand structure, content,

This skill helps you test, debug, and fix Airflow DAGs iteratively, guiding you through trigger, diagnosis, and retest cycles.

This skill initializes and configures Astro Airflow projects with dependencies, connections, and project structure, accelerating setup and deployment.

This skill helps you manage your local Airflow environment with the Astro CLI, enabling start, stop, logs, and troubleshooting commands.

This skill guides you in authoring and validating Airflow DAGs using af CLI, applying best practices and reliable debugging workflows.

This skill performs comprehensive DAG failure diagnosis and root cause analysis for Airflow pipelines, delivering actionable remediation and prevention