multi-agent-industry-research
Best for Comprehensive industry repo…Works with GitHubLow risk
⌘source
- author
@LeoYeAI- language
- Python
★2kstars
306forks
May 6, 2026
✦overview.md
Key Features
- ·Multi-agent parallel research
- ·Dynamic role assignment
- ·Iterative quality review & merge
- ·Configurable via env vars
- ·Supports CLI augmentation
- ·Structured Markdown output
Use Cases
- →Researching 'AI Agent industry landscape' collaboratively
- →Generating deep industry report with iterative refinement
- →Producing quick overview on a market topic
- →Aggregating perspectives from multiple AI models
Best for
- ✓Comprehensive industry reports
- ✓Multi-perspective research
- ✓OpenClaw users
Not ideal for
- !Single-source fact-checking
- !Real-time data updates
FAQs
name
industry-research
description
Multi-agent collaborative industry research for OpenClaw. Dynamically assigns
research roles, runs parallel research via sessions_spawn with codex/gemini/claude
CLI augmentation, iterative quality review, merge & converge, outputs structured
Markdown report.
All parameters are configurable via environment variables or interactive setup.
Trigger: /research, 行业调研, industry research, 调研报告
metadata:{"openclaw":{"emoji":"🔍","homepage":"https://github.com/shineliang/industry-research-skill","requires":{"anyBins":["codex","gemini","claude"]}}}
多智能体协同行业调研（OpenClaw 版）
协调多个 sub-agent 并行完成行业调研，通过迭代审核和合并收敛产出高质量报告。
Commands
/research <topic> # 启动行业调研（如：/research AI Agent 行业现状）
/research <topic> --depth=deep # 深度调研模式
/research <topic> --depth=quick # 快速概览模式
Prerequisites
- OpenClaw — 主 agent 运行时（需启用
sessions_spawn和exec工具） - Codex CLI (
codex) — 可选，提供 OpenAI 模型补充视角 - Gemini CLI (
gemini) — 可选，提供 Google 模型补充视角 - Claude CLI (
claude) — 可选，提供 Anthropic 模型补充视角 - CLI 工具未安装不影响核心流程，仅跳过补充视角
可配置参数
优先级：环境变量 > 启动时用户选择 > 默认值
| 参数 | 环境变量 | 默认值 | 说明 |
|---|---|---|---|
| 研究 agent 数量 | RESEARCH_AGENT_COUNT | auto | 设为数字则固定，auto 则动态分配 |
| 研究迭代上限 | RESEARCH_MAX_ROUNDS | 3 | 研究阶段最多迭代几轮 |
| 合并迭代上限 | MERGE_MAX_ROUNDS | 2 | 合并阶段最多迭代几轮 |
| 质量总分阈值 | QUALITY_THRESHOLD | 35 | 满分 50，总分需达到此值 |
| 单项最低分 | QUALITY_MIN_PER_DIM | 6 | 满分 10，每个维度不低于此值 |
| 交叉验证模式 | RESEARCH_CROSS_MODEL | cli | cli / native / both / none，见下方说明 |
| 启用 CLI 工具 | RESEARCH_CLI_TOOLS | codex,gemini,claude | 可选值：codex、gemini、claude、none 或组合 |
| CLI 超时 | RESEARCH_CLI_TIMEOUT | 600 | 秒 |
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill multi-agent-industry-researchSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
3/ 5
goodMostly clear, but there are still a few confusing or poorly structured parts.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
3/ 5
mediumPartially actionable with several concrete steps, but still missing important details.