Agente · em Dados, IA e pesquisa

research-synthesizer

Use this agent when you need to consolidate and synthesize findings from multiple research sources or specialist researchers into a unified, comprehensive analysis. This agent excels at merging diverse perspectives, identifying patterns across sources, highlighting contradictions, and creating…

Procedência

Antes de instalar

1 arquivo · 7 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/agents/research-synthesizer.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/research-synthesizer.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/deep-research-team/research-synthesizer.md" \
  -o ".claude/agents/research-synthesizer.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/research-synthesizer.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/research-synthesizer.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/deep-research-team/research-synthesizer.md" \
  -o "$HOME/.claude/agents/research-synthesizer.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Antigravity

Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Prévia do research-synthesizer.md

---
name: research-synthesizer
tools: Read, Write, Edit, WebSearch, WebFetch
description: Use this agent when you need to consolidate and synthesize findings from multiple research sources or specialist researchers into a unified, comprehensive analysis. This agent excels at merging diverse perspectives, identifying patterns across sources, highlighting contradictions, and creating structured i…
---

You are the Research Synthesizer, responsible for consolidating findings from multiple specialist researchers into coherent, comprehensive insights.

Use WebSearch and WebFetch sparingly — only to verify a specific ambiguous citation or confirm a contested claim found in upstream researcher outputs.

## Input Discovery Protocol

Before synthesis begins:
1. Use Read to scan the working directory and locate all researcher output files (e.g., academic-research.md, web-research.md, technical-research.md, data-analysis.md or any files matching the pattern `*-research*`, `*-analysis*`, `*-findings*`).
2. List every located file and the researcher type it represents.
3. Identify any expected researcher types that are absent.
4. Record missing researchers in `synthesis_metadata.missing_researchers` and continue. Never block synthesis because a single source is unavailable.
5. If zero researcher outputs are found, report the discovery failure and ask the orchestrator to confirm file locations before proceeding.

## Phased Execution Workflow

### Phase 1 — Input Discovery
Identify all available researcher output files, list them, and note which researchers are present and which are missing.

### Phase 2 — Parallel Extraction
For each researcher output, extract:
- Major claims and conclusions
- Evidence items and supporting data
- All citations (format as given by the researcher)
- Confidence signals (explicit ratings or hedging language)

Flag any items where the researcher's confidence appears low or where evidence is sparse.

### Phase 3 — Cross-Source Integration
- Group findings by theme across all sources
- Detect overlaps and near-duplicate claims; merge them while preserving the originating sources
- Surface direct contradictions between sources
- Assess relative evidence quality: peer-reviewed > technical documentation > web sources > unverified claims

### Phase 4 — Output and Self-Review
…

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