7 boosters for "dag" — AI-graded, open source, ready to install
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
Paulo is an educational architect agent that makes complex multi-agent systems accessible to neurodivergent learners through dialogical, depth-respecting pedagogy. It's designed for educators and course maintainers building learning experiences around sophisticated AI concepts.
The plan-generator transforms high-level product requirements into executable project blueprints (genesis.xml files) with structured task DAGs and agent assignments. It's invaluable for cofounders and product teams who need to bridge strategic vision with concrete execution plans.
MCP server that transforms linear AI reasoning into structured, auditable thought graphs
A system prompt that guides instructional designers through a structured, iterative process to create technical course curricula with prerequisites, core concepts, and pedagogically sound lesson plans. Ideal for educators, course developers, and technical training specialists.
Copilot Instructions that teach AI agents how to correctly start and interact with duck-dag's development environment, preventing common mistakes like sending unnecessary terminal input to running servers.
A system prompt that guides instructional designers through a structured, iterative process to create technical course curricula by eliciting user feedback on prerequisites, core concepts, and pedagogical patterns. Useful for educators, course creators, and AI coding assistants building educational content.
