Research Synthesis

SkillAI & models

Lets your agent turn a set of research sources into a brief with findings, contradictions, confidence levels, and gaps.

Then ask your AI: use the Research Synthesis skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this skill

Decision-grade workflow for synthesizing a source set into clear findings, contradictions, confidence markers, gaps, and next questions. Use for prompts like "synthesize these sources", "turn this research into a brief", "what are the key findings", or "where do these sources disagree". Best when yo

What this skill tells your AI

The instructions your AI receives, as published by natebjones-projects/ob1 in skills/research-synthesis/SKILL.md and read by Ahel’s review.

Problem

Most research work fails at the synthesis step. Facts get repeated instead of organized, contradictions disappear, and the final brief sounds cleaner than the evidence really is.

Audience

  • Primary: both operators and investors

When to Use

  • Turning a defined source set into a clear, decision-grade brief
  • Resolving or surfacing contradictions across sources
  • Distilling a large research packet into findings, gaps, and next questions
  • Preparing material for a memo, strategy discussion, or leadership review

When Not to Use

  • Competitive market mapping with light source work: use competitive-analysis
  • Transcript cleanup, action extraction, or follow-up drafting: use meeting-synthesis
  • Final memo drafting when the synthesis is already done: use deal-memo-drafting
  • Model-specific assumption review: use financial-model-review

Required Context

Gather or confirm:

  • the research question
  • the intended audience
  • the full source set, or the highest-priority source subset
  • the desired output type: summary, brief, recommendation support, or memo input
  • any important constraints such as time window, source quality, or confidence threshold

Process

  1. Frame the synthesis.
    • Restate the question the synthesis must answer.
    • State the audience and what decision or discussion it supports.
  2. Inventory the sources.
    • Identify source type, strength, freshness, and obvious overlap.
  3. Extract the real findings.
    • Separate facts, themes, contradictions, and gaps.
  4. Resolve or preserve disagreement.
    • If sources disagree, either reconcile with stronger evidence or document the conflict explicitly.
  5. Mark confidence.
    • Note which findings are strongly supported and which are provisional.
  6. End with decision usefulness.
    • State what the evidence supports now, what remains unclear, and what to research next.
  7. Optionally use Open Brain.
    • Search for prior related notes before starting.
    • Capture the final synthesis or highest-value findings after completion.

Evidence and Judgment Rules

  • Prefer primary and directly attributable sources over summaries of summaries.
  • Track freshness. An old source may still matter, but it should not masquerade as current.
  • Never flatten contradiction into fake consensus.
  • Label inference explicitly.
  • If the source set is thin, say the synthesis is thin.
  • Confidence should reflect evidence quality, not writing confidence.

Output

Default output:

  • research question and scope
  • key findings
  • contradictions or unresolved tensions
  • confidence markers
  • gaps and follow-up questions
  • recommendation support or decision implications when appropriate

Works Well With

  • competitive-analysis when market and company findings need stronger synthesis
  • financial-model-review when model outputs need source-backed context
  • meeting-synthesis when calls or interviews become part of the evidence base
  • deal-memo-drafting when the final deliverable is a recommendation memo

Notes

  • Synthesis is not compression for its own sake.
  • The best synthesis usually makes the open questions sharper, not smaller.

Signals

GitHub stars
5k
Forks
892
Last commit
Oct 2026
Advanced
Item type
skill
Key
research-synthesis-natebjones-projects
Source
github.com/natebjones-projects/ob1