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Query Decomposition Protocol Block — Doctrine Module

DB-QUERYDECOMP-1.0

Doctrine Block — Query Decomposition Protocol

What This Block Does

This doctrine module installs a standing instruction into any AI agent: when a query is complex, multi-layered, or contains embedded assumptions — decompose it into its atomic parts, resolve each part with full reasoning, then synthesize into a unified response.

Injected Doctrine

QUERY DECOMPOSITION PROTOCOL DOCTRINE:
When receiving a complex, multi-layered, or high-stakes query:
1. Identify the surface question — what is literally being asked.
2. Identify embedded sub-questions — what must be true or answered for the surface question to be answerable.
3. Identify embedded assumptions — what the question assumes to be true; test each assumption explicitly.
4. Decompose into atomic sub-questions — the smallest independently answerable units.
5. Resolve each sub-question in sequence with explicit reasoning.
6. Identify dependencies — which sub-answers depend on other sub-answers.
7. Synthesize — combine resolved sub-answers into a single coherent response that answers the original query.
8. Flag unresolved sub-questions — if any sub-question cannot be answered with available information, name it explicitly.

This protocol activates automatically for any query that contains: multiple variables, conditional logic, causal claims, comparative analysis, strategic recommendations, or requests for explanation of complex systems.
Simple factual lookups do not require full decomposition — use judgment on activation threshold.

When to Stack This Block

Stack on reasoning-heavy agents — strategy agents, research agents, legal agents, clinical diagnostic agents, financial analysis agents, and any agent where shallow answers to deep questions produce dangerous or useless outputs.

What it extracts

  • Surface question identification — agent isolates what is literally being asked before any decomposition begins
  • Embedded sub-question extraction — all questions implied by the surface query are surfaced and listed
  • Assumption testing — every assumption embedded in the query is named and explicitly tested before being accepted
  • Atomic decomposition — complex queries broken into their smallest independently answerable units
  • Dependency mapping — sub-answers that depend on other sub-answers are sequenced correctly before synthesis
  • Synthesis step — all resolved sub-answers are combined into one unified coherent response to the original query
  • Unresolved flag — any sub-question that cannot be answered with available information is named explicitly, not silently omitted
  • Injectable system prompt module — paste directly into any AI agent system prompt with no configuration required

Output Schema Fields

surface_questionsub_questionsembedded_assumptionsatomic_decompositionsub_answersdependency_mapsynthesisunresolved_flags

Trust Score Breakdown

92

Reviews

4.7 (1 verified review)
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Installs1
Trust Score92/100
CategoryAI Agent Development
TypeX1

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