Best Claude Code skills for AI evaluation (2026)
Measure what actually matters — agent behavior, harness fit, and context quality, not just model benchmarks.
Measure what actually matters — agent behavior, harness fit, and context quality, not just model benchmarks. Every skill here is a real Loreto listing — a packaged SKILL.md with references and a runnable test.
Designing Hybrid Context Layers
Designs hybrid AI context architectures that combine RAG, knowledge graphs, episodic memory, and long-context synthesis appropriately. Use…
Detecting Harness Lockin
Identifies and quantifies the compounding switching cost of an AI coding agent harness commitment before it becomes invisible. Use when eva…
Diagnosing RAG Failure Modes
Diagnoses RAG system failures by classifying queries as factual-lookup-safe vs. relational-temporal (where RAG breaks). Use when a RAG pipe…
Evaluating AI Harness Dimensions
Evaluates AI coding agent platforms across five structural dimensions — execution philosophy, state and memory, context management, tool in…
Routing Work Across AI Harnesses
Designs hybrid agent workflows that route tasks intelligently between AI coding agent harnesses based on task characteristics rather than d…
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