evidence-synthesis

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

Synthesize multi-source evidence into structured argument maps with strength ratings

  • Solves the problem of organizing conflicting or scattered evidence into coherent arguments
  • Relies on access to literature databases, web search APIs, and analytical tools
  • Prioritizes synthesis based on relevance, credibility, and alignment with synthesis goals
  • Delivers structured evidence maps with explicit ratings and traceable sources

SKILL.md

.github/skills/evidence-synthesisView on GitHub ↗
---
name: evidence-synthesis
description: Synthesize multi-source evidence into structured argumentation. Weaves findings from literature, web, and analysis into coherent evidence maps with explicit strength ratings.
execution: subagent
prompt: ./prompt.md
input: evidence_sources (string), synthesis_goal (string), quality_requirements (string)
used-by: gap-analysis, insight, boundary-analysis
---

# Evidence Synthesis

Weave multi-source evidence into structured argumentation.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Synthesis requires processing large accumulated evidence corpus in dedicated context.

## Budget

Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one evidence synthesis pass producing a structured evidence map.

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