Loading...
Loading...
Found 362 Skills
Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG design, dbt model creation, Spark job optimization, streaming vs batch architecture decisions, data ingestion, data quality checks, pipeline orchestration, incremental loads, CDC (change data capture), schema evolution, and data warehouse modeling. Acts as a senior data engineer advisor for building reliable, scalable data infrastructure.
DAG-based multi-skill orchestration: Discover, Plan, Validate, Execute. Builds execution graphs for tasks requiring multiple skills in sequence or parallel with dependency resolution and context passing. Use when a task requires 2+ skills chained together, parallel skill execution, or conditional branching between skills. Use for "compose skills", "chain workflow", "multi-skill", or "orchestrate skills". Do NOT use when a single skill can handle the request, or for simple sequential invocation that needs no dependency management.
Use when reviewing a Ruby on Rails app for Domain-Driven Design boundaries, bounded contexts, language leakage, cross-context orchestration, or unclear ownership. Covers context mapping, leakage detection, and smallest credible boundary improvements.
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
GitHub Actions CI/CD. Covers workflows, jobs, and deployment. Use for automating builds, tests, and deployments. USE WHEN: user mentions "github actions", "workflow", "ci/cd", ".github/workflows", "actions/checkout", "github workflow", asks about "automate tests", "deploy on push", "build pipeline", "ci pipeline", "continuous integration", "github automation" DO NOT USE FOR: GitLab CI/CD - different syntax and features, Jenkins pipelines - different tool, Container orchestration - use `docker` or `kubernetes` skills, Local builds - workflows run on GitHub runners
Declarative workflow orchestration for multi-agent tasks. Activate when users need to coordinate multiple agent jobs, run parallel tasks, or create reusable automation pipelines.
This skill should be used when the user wants to implement features or fix bugs using test-driven development. Enforces the RED-GREEN-REFACTOR cycle with vertical slicing, context isolation between test writing and implementation, human checkpoints, and auto-test feedback loops. Uses multi-agent orchestration with the Task tool for architecturally enforced context isolation. Supports Jest, Vitest, pytest, Go test, cargo test, PHPUnit, and RSpec.
Builds production AI/ML systems — model training, fine-tuning, MLOps pipelines, model serving, evaluation frameworks, RAG optimization, and agent orchestration at scale. Use when the user asks to build, train, or deploy ML models, set up MLOps pipelines, optimize RAG systems, create inference endpoints, or design production AI agents.
C-suite orchestration layer. Routes founder questions to the right advisor role(s), triggers multi-role board meetings for complex decisions, synthesizes outputs, and tracks decisions. Every C-suite interaction starts here. Loads company context automatically.
Use when a feature, bugfix, review, planning, implementation, verification, commit, push, or PR task needs orchestration across multiple project skills. Maestro is the entry point for full-cycle engineering work: classify the request, choose the right domain/framework skills, enforce planning/build/publish gates, and carry the task from intake to done without replacing the specialized skills it coordinates.
Use the Orca CLI to coordinate multiple coding agents via inter-agent messaging, task DAGs, dispatch with preamble injection, decision gates, and coordinator loops. Use when an agent needs to send or check inter-agent messages; create, dispatch, or track orchestration tasks; coordinate multi-agent workflows; or act as a coordinator dispatching work across terminals. Triggers include "orchestrate agents", "dispatch task", "send message to agent", "check inbox", "coordinate agents", "multi-agent", "create task DAG", "worker_done", "escalation", or any task involving inter-agent coordination through Orca.
Comprehensive guide to Kubernetes container orchestration, covering workloads, networking, storage, security, and production operations