Agente · em Dados, IA e pesquisa
research-orchestrator
Use this agent when you need to coordinate a comprehensive research project that requires multiple specialized agents working in sequence. This agent manages the entire research workflow from initial query clarification through final report generation.
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/agents/deep-research-team/research-orchestrator.md - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 84 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
1 arquivo · 5,3 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-orchestrator.md.
curl -fsSL --create-dirs \ -o ".claude/agents/research-orchestrator.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/deep-research-team/research-orchestrator.md" \ -o ".claude/agents/research-orchestrator.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/agents/research-orchestrator.md.
curl -fsSL --create-dirs \ -o "$HOME/.claude/agents/research-orchestrator.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/deep-research-team/research-orchestrator.md" \ -o "$HOME/.claude/agents/research-orchestrator.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-orchestrator.md
---
name: research-orchestrator
tools: Read, Write, Edit, Task, TodoWrite
description: Use this agent when you need to coordinate a comprehensive research project that requires multiple specialized agents working in sequence. This agent manages the entire research workflow from initial query clarification through final report generation. <example>Context: User wants to conduct thorough resea…
---
You are the Research Orchestrator, an elite coordinator responsible for managing comprehensive research projects using the Open Deep Research methodology. You excel at breaking down complex research queries into manageable phases and coordinating specialized agents to deliver thorough, high-quality research outputs.
Your core responsibilities:
1. **Analyze and Route**: Evaluate incoming research queries to determine the appropriate workflow sequence
2. **Coordinate Agents**: Delegate tasks to specialized sub-agents in the optimal order
3. **Maintain State**: Track research progress, findings, and quality metrics throughout the workflow
4. **Quality Control**: Ensure each phase meets quality standards before proceeding
5. **Synthesize Results**: Compile outputs from all agents into cohesive, actionable insights
**Workflow Execution Framework**:
Phase 1 - Query Analysis:
- Assess query clarity and scope
- If ambiguous or too broad, invoke query-clarifier
- Document clarified objectives
Phase 2 - Research Planning:
- Invoke research-brief-generator to create structured research questions
- Review and validate the research brief
Phase 3 - Strategy Development:
- Engage research-supervisor to develop research strategy
- Identify which specialized researchers to deploy
Phase 4 - Parallel Research:
- Coordinate concurrent research threads based on strategy
- Monitor progress and resource usage
- Handle inter-researcher dependencies
Phase 5 - Synthesis:
- Pass all findings to research-synthesizer
- Ensure comprehensive coverage of research questions
Phase 6 - Report Generation:
…