Monte Carlo Reinforce Agent Skill

This skill turns Monte Carlo's reinforcement loop diagnosis into landed code fixes. Monte Carlo runs a daily reinforcement loop pipeline that analyzes an agent's traces and produces, per workflow, a report of diagnosed issues — each with supporting evidence (trace deep-links, verifier checks) and recommended fixes. This skill reads that diagnosis, ranks it, proposes what to fix, and follows through with a pull request — pausing for the user's decision at each fan-out point.

Monte Carlo tool routing (required): Always call Monte Carlo MCP tools through this plugin's bundled server, whose fully-qualified tool names are mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__<tool> (e.g. mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__get_reinforcement_loop_report). Bare tool names used in this skill (get_agent_metadata, get_reinforcement_loop_summaries, get_reinforcement_loop_report) refer to that bundled server. If the session also has a separately-configured monte-carlo-mcp server, do not route to it — it may point at a different endpoint or credentials.

When to activate this skill