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Found 11,120 Skills
Complete guide for Apache Airflow orchestration including DAGs, operators, sensors, XComs, task dependencies, dynamic workflows, and production deployment
CX Workflow - Configuration Management. View and modify configuration fields in config.json, such as developer_id, github_sync mode, code review toggle, agent team mode, auto-formatting, etc. Trigger words: config, settings, modify config, change mode. Only execute when the user explicitly calls /cx-config. Do not trigger automatically.
Apache Airflow workflow orchestration. Use for data pipelines.
Development workflow and quality gates for the Bun + TypeScript stack. **ALWAYS use before commits** to ensure quality gates are met. Also use when starting development or when user asks about workflow process. Examples - "before commit", "quality gates", "workflow checklist", "bun commands", "pre-commit checks".
Test-Driven Development workflow with session integration. Use when implementing features/bugfixes to enforce RED-GREEN-REFACTOR discipline. Integrates with session-management for enhanced TDD session tracking, checkpoints, and metrics.
Unified command interface for the autonomous idea intake workflow system
Apply Pragmatic Programmer (Hunt & Thomas, 2019 edition) advice to software tasks and code reviews; use when the user asks to apply pragmatic tips, asks how to approach a task, or when performing a code review to map relevant chapters/tips to the current context.
This skill should be used when the user asks to "IntegrationHub", "spoke", "flow action", "integration", "subflow", "connection alias", "credential alias", "REST step", or any ServiceNow IntegrationHub development.
Kotlin Flow - StateFlow, SharedFlow, operators, testing
Instruments Python and TypeScript code with MLflow Tracing for observability. Triggers on questions about adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, or tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen). Examples - "How do I add tracing?", "How to instrument my agent?", "How to trace my LangChain app?", "Getting started with MLflow tracing", "Trace my TypeScript app"
Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of engineering makes subsequent work easier. Triggers on: plan this feature, implement this, review this code, compound learnings, create implementation plan, systematic development.
Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.