Apache Airflow DAG Patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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Lab environment for Claude superpowers
--- name: superpowers-lab-b87612ad0438 description: "Lab environment for Claude superpowers" risk: safe source: "https://github.com/obra/superpowers-lab" date_added: "2026-02-27" --- # Superpowers Lab ## Overview Lab environment for Claude superpowers ## When to Use This Skill Use this skill when you need to work with lab environment for claude superpowers. ## Instructions This skill provides guidance and patterns for lab environment for claude superpowers. For more information, see the [source repository](https://github.com/obra/superpowers-lab). --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [superpowers](https://github.com/obra/superpowers) ### Memory-First Protocol Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions. ```bash # Check for prior development context before starting python3 execution/memory_manager.py auto --query "prior work and patterns related to Superpowers Lab" ``` ### Storing Results After completing work, store development decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Completed task with key insights documented for future reference" \ --type decision --project <project> \ --tags superpowers-lab default ``` ### Multi-Agent Collaboration Share outcomes with other agents so the team stays aligned and avoids duplicate work. ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Task completed — results documented and shared with team" \ --project <project> ``` <!-- AGI-INTEGRATION-END -->--- name: superpowers-lab-b87612ad0438 description: "Lab environment for Claude superpowers" risk: safe source: "https://github.com/obra/superpowers-lab" date_added: "2026-02-27" --- # Superpowers Lab ## Overview Lab environment for Claude superpowers ## When to Use This Skill Use this skill when you need to work with lab environment for claude superpowers. ## Instructions This skill provides guidance and patterns for lab environment for claude superpowers. For more information, see the [source repository](https://github.com/obra/superpowers-lab). --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [superpowers](https://github.com/obra/superpowers) ### Memory-First Protocol Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions. ```bash # Check for prior development context before starting python3 execution/memory_manager.py auto --query "prior work and patterns related to Superpowers Lab" ``` ### Storing Results After completing work, store development decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Completed task with key insights documented for future reference" \ --type decision --project <project> \ --tags superpowers-lab default ``` ### Multi-Agent Collaboration Share outcomes with other agents so the team stays aligned and avoids duplicate work. ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Task completed — results documented and shared with team" \ --project <project> ``` <!-- AGI-INTEGRATION-END -->
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.