Skill UI

An enterprise-grade agent designed to manage the entire lifecycle of skills within an ecosystem. It handles installation, deep validation (including 10 security checks), registration, and post-installation verification. Features include automatic repair, rollback, dry-run simulation, and a comprehensive status dashboard, ensuring maximum redundancy and system integrity.

A systematic protocol for repairing broken features by scoping the module, tracing every dependency, diagnosing issues, fixing them, and verifying results—ideal when a feature needs end-to-end debugging rather than a quick patch.

Diagnoses full-stack failure modes in agent and LLM applications, including wrapper regressions, memory contamination, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings and code-first fixes for production agent systems.

This skill helps diagnose, repair, and prevent complex Drizzle Kit database migration conflicts. It addresses issues arising from merging branches, rebasing, or PR updates involving generated SQL, snapshots, and journals. Use it to ensure stable schema evolution in multi-developer teams and harden CI/CD workflows.

This library provides a comprehensive framework for managing bounded AI workflows (loops). Users can analyze existing codebases or work histories to discover opportunities for repeating, automated agent processes. It guides the user through finding published templates, auditing and repairing weak agents, adapting parameters, or crafting entirely new, robust automation designs, ensuring clear triggers, verification, and mandatory stopping conditions.