Agent
Use when a specific skill has recurring low grades, warning or critical status, regressions, or unclear failures after basic doctor/status review. Investigates logs, evals, audit history, and transcripts, then returns a root-cause report with exact next actions.
Agent
Produces one bounded, review-only SKILL.md body proposal from an already-selected local evidence cohort.
Agent
Use when reviewing a dry-run or pending evolution proposal before deployment, especially for high-stakes skills, marginal improvements, or recent regressions. Compares old vs new content, checks evidence quality, and returns an approve or reject verdict with conditions.
Agent
Use when setting up selftune in a complex repo: monorepo, multi-skill workspace, mixed agent platforms, unclear hook state, or install problems that basic init/doctor does not resolve. Detects project structure, validates configuration, and returns or applies a verified setup plan.
Agent
Use when multiple skills may overlap, misroute, or interfere with each other, or when composability results suggest moderate or severe conflict. Analyzes trigger ownership, query overlap, and cross-skill health, then returns a conflict matrix and routing recommendations.