
from maestro9
A knowledge gateway that routes coding questions to a focused skill search; call search_skills first to retrieve precise expertise from an indexed skill library
Maestro provides a centralized gateway to an indexed skill library. Before performing coding, review, or architecture tasks, agents call the search_skills tool to surface relevant skill snippets, examples, and patterns from 100+ indexed skills covering Swift, SwiftUI, concurrency, testing, performance, and security. Maestro reduces context bloat by returning only targeted, high-value knowledge chunks.
Use Maestro at the start of any code-oriented task where domain-specific patterns matter: code reviews, bug fixes, feature implementation, testing strategies, and performance tuning. It should be invoked whenever the agent needs precise, repository-level guidance instead of general language-model knowledge.
Intended for agents that can call external MCP tools and RAG search — typical integrations include Claude/Claude Code and other agents that support a search_skills-style tool.
Maestro is a knowledge gateway skill that routes coding questions to a focused skill search via an MCP tool (search_skills). It indexes 60+ Swift/iOS development skills and returns relevant chunks. The bundled bash script (maestro-mcp.sh) creates a Python venv and installs the plugin locally, but failed to run due to missing python3-venv package. The SKILL.md is well-documented with clear usage examples and a comprehensive skill index, though it aggressively positions itself as mandatory before any coding task.
python3-venvThe skill is essentially a RAG gateway for Swift/iOS development knowledge. No security concerns — no remote code execution, no credential exposure, no destructive commands. The 'ALWAYS call search_skills first' instruction is a design choice that increases the skill's activation frequency but isn't malicious. Script failure was environment-specific (missing python3-venv), not a code quality issue.