synthesize
Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report.
Profile →npx skills add majiayu000/claude-skill-registry --skill synthesize-athola-claude-night-market --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Finding Synthesis ## When To Use - After research agents return results from multiple channels - Producing a final ranked report from raw findings ## When NOT To Use - No research session is active (run `/tome:research` first) - Refining a single channel (use `/tome:dig` instead) Merge findings from all channels into a ranked report. ## Workflow 1. Merge: `tome.synthesis.merger.merge_findings()` 2. Rank: `tome.synthesis.ranker.rank_findings()` 3. Group: `tome.synthesis.ranker.group_by_theme()` 4. Format: `tome.output.report.format_report()` ## Output Formats - **report**: Full sectioned markdown - **brief**: Condensed 1-2 pages - **transcript**: Raw session log
- When To Use
- When NOT To Use
- Workflow
- Output Formats
What does the synthesize skill do?
Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill synthesize-athola-claude-night-market --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.