survey-synthesis

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/survey-synthesis

Synthesizes survey evidence into structured output for final delivery

  • Compiles reading notes, extracted data, and categorizations into a coherent document
  • Operates as a subagent with dedicated context for processing large volumes of information
  • Uses strategy-specific guidelines to structure and prioritize synthesized content
  • Returns a finalized structured survey output tailored to the research strategy

SKILL.md

.github/skills/survey-synthesisView on GitHub ↗
---
name: survey-synthesis
description: Final synthesis step — weave all gathered evidence (reading notes, extracted data, categorizations) into a coherent structured output appropriate to the strategy type. Used by all 5 strategies as the final step.
execution: subagent
prompt: ./prompt.md
input: strategy_type (string), accumulated_notes (string), extracted_data (string)
used-by: literature-survey
---

# Survey Synthesis

Produce the final structured survey output from all accumulated evidence.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill. The subagent receives all accumulated materials and produces a single coherent document.

## Why Subagent

Synthesis requires processing the entire accumulated corpus (potentially 50+ papers worth of notes). Running in a subagent provides dedicated context for weaving a coherent narrative without polluting the main session.

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