Coordinate specialized skills for complex multi-step tasks

The skill-orchestrator is a meta-skill that acts as an intelligent coordinator for AI agents tackling complex problems. It first evaluates the complexity of a user's request, determines whether specialized skills are needed, selects the right combination of skills when required, and guides the agent through execution while preventing unnecessary skill invocation for simple tasks that can be handled with baseline capabilities.

Use skill-orchestrator when facing complex problems that may require multiple specialized skills working together, or when you want to track which skill combinations have been effective for future reference. Do NOT use it for simple tasks that can be solved with baseline AI capabilities - the orchestrator includes strict guardrails specifically designed to prevent unnecessary skill invocation in these scenarios.

Users provide their request or problem statement to the AI agent. The orchestrator evaluates the complexity, determines the appropriate response path, and either handles the request with baseline capabilities or coordinates the necessary specialized skills. It explicitly tracks successful skill combinations using @agent-memory-mcp for future reference.

@agent-memory-mcp: Used to explicitly track and store skill combinations for future reference, enabling the orchestrator to learn from past executions and improve its coordination decisions over time.

This meta-skill is for those who work with complex problems that require intelligent coordination between different specialized capabilities. It benefits teams building agentic systems that need to balance efficiency (avoiding unnecessary tool use) with capability (leveraging specialized skills when truly needed), and anyone who wants their AI agent to make smarter decisions about when and how to apply its available skills.