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BytesAgain β€Ί Skills β€Ί Nm Tome Synthesize
πŸ¦€ ClawHub

Nm Tome Synthesize

by @athola

Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report

Versionv1.9.16
Downloads1,359
#clawhub
TERMINAL
clawhub install nm-tome-synthesize

πŸ“– About This Skill

name: synthesize description: | >- Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results version: 1.9.4 triggers: - merge - rank - format - report metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/tome", "emoji": "\ud83e\udd9e"}} source: claude-night-market source_plugin: tome

> Night Market Skill β€” ported from claude-night-market/tome. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

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

    TriggerAction
    - Producing a final ranked report from raw findings