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Found 107 Skills
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.
Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration. Triggers on "research project", "scientific experiment", "run experiments", "AI scientist", "tree search experimentation", "systematic study".
Orchestrate workflows with mise [tasks]. TRIGGERS - mise tasks, mise run, task runner, depends, depends_post, workflow automation, task dependencies.
Creates Cursor-specific AI subagents with isolated context for complex multi-step workflows. Use when creating subagents for Cursor editor specifically, following Cursor's patterns and directories (.cursor/agents/). Triggers on "cursor subagent", "cursor agent".
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions. Use when the user needs to chain multiple AI models or automate multi-step content creation.
Complete guide for Apache Airflow orchestration including DAGs, operators, sensors, XComs, task dependencies, dynamic workflows, and production deployment
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
Use when implementing distributed transactions, coordinating multi-service workflows, handling compensating transactions, or asking about "saga pattern", "distributed transactions", "compensating actions", "workflow orchestration", "choreography vs orchestration"
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
State-machine driven orchestrator for structured software development. Invoke when user wants to develop features, fix bugs, or refactor code. Triggers: 'build a feature', 'fix this bug', 'implement', 'develop', 'refactor'.
Comprehensive knowledge of Microsoft Agent Framework for building production AI agents and workflows. Auto-activates for agent building, workflow design, AutoGen migration, and enterprise AI tasks.
Data Quality Checker - Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker Part of the Data Pipelines skill category.