research-synthesis
Research Synthesis is a Claude Code skill for converting defined source sets into decision-grade research briefs by systematically extracting findings, resolving contradictions, and marking confidence levels. Use it when turning raw research into clear briefs for memos, strategy discussions, or leadership review, particularly when sources conflict or the research packet is large and requires distillation into findings, gaps, and next questions.
git clone --depth 1 https://github.com/NateBJones-Projects/OB1 /tmp/research-synthesis && cp -r /tmp/research-synthesis/skills/research-synthesis ~/.claude/skills/research-synthesisSKILL.md
# Research Synthesis ## 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.
Use Nate Jones OB1 Agent Memory from OpenClaw with provenance, scope, review, and use-policy discipline.
Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /aiception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is identified. Integrates with Open Brain to prevent duplicates.
Morning digest of yesterday's Open Brain thoughts, drafted to Gmail
Generate infographic images from any research doc, Open Brain thoughts, or analysis. Auto-chunks content, writes prompts, generates images via Gemini API (free tier), and saves to media/. Use --premium for better text rendering.
|
Use when processing voice transcripts, brain dumps, stream-of-consciousness notes, or any raw multi-topic capture. Extracts every idea thread, then evaluates each one with deep brainstorming, then captures results to Open Brain. Trigger on transcripts, exports, "process this", "pan for gold", "brain dump", "what did I say", or multi-topic markdown files.
|