Claude Code skills for AI platform teams
Architecture and evaluation skills for the teams building the AI systems everyone else depends on.
AI platform teams use Loreto to standardize context-layer design, harness selection, and agent evaluation into reusable Claude Code skills their whole org can run.
Skills to start with
Designing Hybrid Context Layers
Designs hybrid AI context architectures that combine RAG, knowledge graphs, episodic memory, and long-context synthesis…
Detecting Harness Lockin
Identifies and quantifies the compounding switching cost of an AI coding agent harness commitment before it becomes inv…
Diagnosing RAG Failure Modes
Diagnoses RAG system failures by classifying queries as factual-lookup-safe vs. relational-temporal (where RAG breaks).…
Evaluating AI Harness Dimensions
Evaluates AI coding agent platforms across five structural dimensions — execution philosophy, state and memory, context…
Routing Work Across AI Harnesses
Designs hybrid agent workflows that route tasks intelligently between AI coding agent harnesses based on task character…
Your workflow, as a skill
Loreto turns what you already know into a Claude Code skill your agent can run on demand.