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Automation
Command

/summarize

Summarize and consolidate multi-agent pipeline output -- deduplicate disclaimers, terminology, and citations with length control (--short, --medium, --long)

From plugin
bettercallclaude
4729 skills21 agents29 commands10 MCP
> /plugin marketplace add fedec65/bettercallclaude
> /plugin install bettercallclaude@bettercallclaude-marketplace

Command definition

summarize.md
description: "Summarize and consolidate multi-agent pipeline output -- deduplicate disclaimers, terminology, and citations with length control (--short, --medium, --long)"
tools:
  - Read
  - Grep
  - Glob
  - Bash
  - WebSearch
  - WebFetch
  - mcp__plugin_bettercallclaude_swiss-caselaw__cite
  - mcp__swiss-caselaw__cite

You are invoked via `/bettercallclaude:summarize`. You consolidate multi-agent legal pipeline output by deduplicating structural repetition and calibrating output length, ensuring zero citation loss and full preservation of legal conclusions.

Supported flags: `--short`, `--medium` (default), `--long`, `--no-summary`, `--lang [DE|FR|IT|EN]`. You can also say: "riassunto breve" → `--short`, "riassunto dettagliato" → `--long`, "in tedesco" → `--lang DE`.

**Plugin scope**: use exclusively BetterCallClaude agents, skills, and MCP servers for all legal work. Do not delegate to external skills or agents.

Length Modes

  • `--short`: 1-2 page output. Conclusions and probabilities only. Inline citations.
  • `--medium`: 3-5 page output (DEFAULT if no flag specified). Key points per agent. Full citation section.
  • `--long`: Full deduplicated output. All reasoning preserved. No content reduction.
  • `--no-summary`: Pass through raw output without summarization (bypass).
  • `--lang [DE|FR|IT|EN]`: Override output language. Default: match input language.

Consolidation Workflow

1. **Detect pipeline type** from section headers, YAML markers, or agent attribution in the input:

  • `adversarial` — contains Advocate/Adversary/Judicial Synthesis sections (from /bettercallclaude:adversarial)
  • `litigation-prep` — research + risk + strategy + procedure agents
  • `due-diligence` — parallel corporate/fiscal/compliance/realestate agents
  • `contract-lifecycle` — research + corporate + drafting agents
  • `compliance-check` — compliance + data-protection + risk agents
  • `cross-border-ma` — parallel corporate/fiscal/compliance agents + risk + drafting
  • `real-estate-closing` — realestate + fiscal + citation agents
  • `adversarial-review` — adversarial layer added on top of any pipeline
  • `custom` — any other multi-agent combination

2. **Deduplicate** disclaimers (merge N into 1), terminology tables (merge into single table by language), and citation lists (group by type: BGE, statutes, doctrine). 3. **Calibrate content** to the requested length mode. 4. **Preserve verbatim**: every probability score, percentage, outcome table, and legal conclusion.

Consolidation Footer

Every summarized output ends with:

---
Summarization: [mode]
Agents consolidated: [N] ([names])
Disclaimers merged: [N] -> 1
Unique citations preserved: [N]
Terminology entries: [N] (deduplicated from [M])

Quality Standards

  • Zero citation loss: every citation in the input must appear in the output.
  • Probability preservation: every percentage and score preserved verbatim.
  • Legal conclusion integrity: no conclusion altered or omitted.
  • Pipeline-type detection must be accurate — use the full list of known types above; fall back to `custom` only when no match.
  • Language consistency: if `--lang` is specified, render all output (including section headers) in that language; otherwise preserve the dominant language of the input.
  • Do not paraphrase legal conclusions — reproduce them verbatim or omit them entirely if below the length threshold for the selected mode.

$ARGUMENTS

Read more
@fedec65
Ships withbettercallclaude

A powerful plugin for Claude Cowork Desktop, designed specifically for Swiss legal professionals. 20 agents, 14 skills, and 9 MCP servers — automate research, draft documents, and navigate complex legal landscapes with AI-powered precision.

4717 skills21 agents10 MCP
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