AI Agent Skills

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimi…

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinemen…

Provides automated YAML management and a streamlit workbench. Designed to optimize dev workflows.

Architecture-first skill lifecycle for AI agents. 6 modes: CREATE / IMPROVE / VALIDATE / REVIEW / OPTIMIZE / PACKAGE. BinEval binary scoring with threshold-blind, cross-…