Dagster Io

This skill guides testing architecture using fake-driven testing with layered defense, fakes-first strategy, and gateway focus for Python projects.

This skill helps you design and implement Dagster assets, resources, schedules, and tests using best practices to improve data quality.

This skill analyzes PR review feedback, classifies actionability and complexity, and outputs structured data for deterministic thread resolution.

This skill provides expert guidance for Dagster projects, scaffolding definitions, CLI usage, and troubleshooting to accelerate production pipelines.

This skill helps you discover and understand Dagster integration libraries to streamline tool connections and enhance data workflows.

This skill refines recently modified Python code to improve clarity and maintainability without altering functionality.

This skill guides you toward modern, production-ready Python by enforcing typing, LBYL, pathlib, and ABC patterns across projects.

This skill generates concise, strategic commit messages for diffs by describing module changes, highlighting breaking changes, and noting test coverage.

This skill helps you manage erk plan issues by guiding plan updates, new plans, and metadata handling across sessions and GitHub.

This skill helps you manage stacked pull requests with Graphite by guiding stack navigation, parent-child relationships, and workflow patterns.

This skill helps you explore Dagster integrations across AI, ETL, storage, compute, and BI, enabling quick tool selection for a use case.

This skill helps you launch Dagster assets with guided configuration, partitions, and environment setup, delivering ready-to-run commands.

This skill helps you discover and inspect Dagster definitions, components, and project structure to streamline asset, job, and environment variable discovery.

This skill helps you coordinate multi-plan objectives by logging actions, tracking progress across related PRs, and capturing lessons learned.

This skill helps you rapidly prototype production-ready Dagster implementations with best practices, testing, and validation for pipelines, assets, and data

This skill scaffolds Dagster assets, schedules, sensors, and integrations from natural language requests, generating precise scaffold commands and guidance.

This skill helps you inspect Claude Code session logs, analyze context usage, and extract plans and issues from sessions for debugging and transparency.