OpenClaw

research

Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.

brennerspear0 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install brennerspear/research-agent

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Research Skill

Description

Conduct open-ended research on a topic, building a living markdown document. The conversation is ephemeral; the document is what matters.

Trigger

Activate when the user wants to:

Research a topic, idea, or question
Explore something before committing to building it
Investigate options, patterns, or approaches
Create a "research doc" or "investigation"
Run deep async research on a complex topic

Research Directory

Each research topic gets its own folder:

~/.openclaw/workspace/research/<topic-slug>/
├── prompt.md          # Original research question/prompt
├── research.md        # Main findings (Parallel output or interactive notes)
├── research.pdf       # PDF export (when generated)
└── ...                # Any other related files (data, images, etc.)

Two Research Modes

1. Interactive Research (default)

For topics you explore together in conversation. You search, synthesize, and update the doc in real-time.

2. Deep Research (async)

For complex topics that need comprehensive investigation. Uses the Parallel AI API via parallel-research CLI. Takes minutes to hours, returns detailed markdown reports.

When to use deep research:

Market analysis, competitive landscape
Technical deep-dives requiring extensive source gathering
Multi-faceted questions that benefit from parallel exploration
When user says "deep research" or wants comprehensive coverage

Interactive Research Workflow

1. Initialize Research

Create the research folder at ~/.openclaw/workspace/research/<topic-slug>/

Create prompt.md with the original question:

# <Topic Title>

> <The core question or curiosity>

**Started:** <date>

Create research.md with the working structure:

# <Topic Title>

**Status:** Active Research
**Started:** <date>
**Last Updated:** <date>

---

## Open Questions
- <initial questions to expl...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/brennerspear/research-agent
Version: 1.0.0
Commit: 0f0f9c64f587c6efcfaf7c578ba7b5a6fff2c1ed
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Research Skill

## Description
Conduct open-ended research on a topic, building a living markdown document. The conversation is ephemeral; the document is what matters.

## Trigger
Activate when the user wants to:
- Research a topic, idea, or question
- Explore something before committing to building it
- Investigate options, patterns, or approaches
- Create a "research doc" or "investigation"
- Run deep async research on a complex topic

## Research Directory
Each research topic gets its own folder:
```
~/.openclaw/workspace/research/<topic-slug>/
├── prompt.md          # Original research question/prompt
├── research.md        # Main findings (Parallel output or interactive notes)
├── research.pdf       # PDF export (when generated)
└── ...                # Any other related files (data, images, etc.)
```

---

## Two Research Modes

### 1. Interactive Research (default)
For topics you explore together in conversation. You search, synthesize, and update the doc in real-time.

### 2. Deep Research (async)
For complex topics that need comprehensive investigation. Uses the Parallel AI API via `parallel-research` CLI. Takes minutes to hours, returns detailed markdown reports.

**When to use deep research:**
- Market analysis, competitive landscape
- Technical deep-dives requiring extensive source gathering
- Multi-faceted questions that benefit from parallel exploration
- When user says "deep research" or wants comprehensive coverage

---

## Interactive Research Workflow

### 1. Initialize Research

1. **Create the research folder** at `~/.openclaw/workspace/research/<topic-slug>/`

2. **Create prompt.md** with the original question:
   ```markdown
   # <Topic Title>

   > <The core question or curiosity>

   **Started:** <date>
   ```

3. **Create research.md** with the working structure:
   ```markdown
   # <Topic Title>

   **Status:** Active Research
   **Started:** <date>
   **Last Updated:** <date>

   ---

   ## Open Questions
   - <initial questions to expl...

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