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