Designing Hybrid Context Layers

What this Claude Code skill does

Designs hybrid AI context architectures that combine RAG, knowledge graphs, episodic memory, and long-context synthesis appropriately. Use when building an agent system that must handle both factual lookup and relational or temporal organizational queries, or when asked to architect a context layer, memory system, or retrieval pipeline for enterprise or institutional knowledge.

Designing Hybrid Context Layers is a packaged skill for Claude Code: a SKILL.md plus references and a runnable test that drops into .claude/skills/, so your agent can run this workflow reliably instead of you re-explaining it each time. Install it via MCP, run it as a CLI, or fork it into your own.

Inside the SKILL.md

<h1>Designing Hybrid Context Layers</h1>
<h2>The Multiplicative Principle</h2>
<p>Output quality is not the sum of model intelligence and context quality — it is the product:</p>
<div class="codehilite"><pre><span></span><code>output_quality = reasoning_tier × context_quality
</code></pre></div>

<p>Consequences:
- Good model + poor context = degraded output (context poisons reasoning)
- Poor model + excellent context = ceiling hit fast (reasoning can't leverage it)
- Long context + weak reasoning = harmful output (more signal, more hallucination surface)</p>
<p>This means context architecture is not an afterthought. The retrieval strategy must match both the query type and the model's reasoning capability.</p>
<hr />
<h2>The Three-Layer Context Model</h2>
<h3>Layer 1: Factual Store (Vector RAG)</h3>
<p><strong>Best for</strong>: Point queries, lookup, single-hop fact retrieval
<strong>Technology</strong>: Vector database (Pinecone, Weaviate, pgvector)
<strong>Data shape</strong>: Chunked documents with embeddings + metadata (source, date, author, tags)</p>
<p>Queries routed here:
- "What does our SLA say about uptime?"
- "What is the current value of config key X?"
- "List all services tagged as PII-handling"</p>
<p><strong>Limitation</strong>: Cannot join facts across documents or reason about sequence.</p>
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