OpenClaw

research-report

Research technical projects/papers and generate comprehensive reports with PDF export. Modes: lite (analysis + writing) or full (+ environment setup + experiments). Params: iterations, mode, project-path, output. Use for paper analysis, code review, technical reports, research documentation.

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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 huaruoji/research-report

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 Report Generator

Analyze technical projects/papers and produce comprehensive reports with PDF export.

Modes

Lite Mode (default)

Literature search + paper analysis
Code reading (local or remote)
Multi-iteration report writing
PDF generation via md2pdf skill
No environment setup or experiment runs

Full Mode

Everything in lite mode +
Conda/virtualenv setup
Dependency installation
Experiment execution
Result analysis

Usage

bash {baseDir}/scripts/research-report.sh \
  --topic "Spatial Forcing" \
  --mode lite \
  --iterations 3 \
  --output both

Parameters

Parameter	Default	Description
`--topic`	(required)	Paper/project name or arXiv ID
`--mode`	`lite`	`lite` or `full`
`--iterations`	`3`	Report revision iterations
`--output`	`both`	`md`, `pdf`, or `both`
`--project-path`	(auto)	Local code directory (optional)
`--workspace`	(current)	Workspace directory

Workflow

Phase 1: Discovery

Search arXiv + project pages
Fetch related papers (citations + references)
Identify key technologies and dependencies

Phase 2: Analysis

Read source code (if --project-path provided)
Analyze architecture from docs/code
Map technology stack

Phase 3: Report Writing (× iterations)

Draft outline
Write sections iteratively
Add diagrams (Mermaid/ASCII)
Refine explanations

Phase 4: Export (Full mode only)

Setup conda env
Install dependencies
Run experiments
Append results to report

Phase 5: PDF Generation

Call md2pdf skill
Send to user via Telegram

Output Structure

<workspace>/
├── reports/
│   ├── <topic>_report_v1.md
│   ├── <topic>_report_v2.md
│   ├── <topic>_report_final.md
│   └── <topic>_report_final.pdf
├── memory/YYYY-MM-DD.md (appended)
└── logs/<topic>_research.log

Report Template

The generated report follows this structure:

**Ex...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/huaruoji/research-report
Version: —
Commit: 90aea213c90b2b98a5498c1eaabc530d07e25d19
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 Report Generator

Analyze technical projects/papers and produce comprehensive reports with PDF export.

## Modes

### Lite Mode (default)
- Literature search + paper analysis
- Code reading (local or remote)
- Multi-iteration report writing
- PDF generation via md2pdf skill
- **No environment setup or experiment runs**

### Full Mode
- Everything in lite mode +
- Conda/virtualenv setup
- Dependency installation
- Experiment execution
- Result analysis

## Usage

```bash
bash {baseDir}/scripts/research-report.sh \
  --topic "Spatial Forcing" \
  --mode lite \
  --iterations 3 \
  --output both
```

## Parameters

| Parameter | Default | Description |
|-----------|---------|-------------|
| `--topic` | (required) | Paper/project name or arXiv ID |
| `--mode` | `lite` | `lite` or `full` |
| `--iterations` | `3` | Report revision iterations |
| `--output` | `both` | `md`, `pdf`, or `both` |
| `--project-path` | (auto) | Local code directory (optional) |
| `--workspace` | (current) | Workspace directory |

## Workflow

### Phase 1: Discovery
1. Search arXiv + project pages
2. Fetch related papers (citations + references)
3. Identify key technologies and dependencies

### Phase 2: Analysis
1. Read source code (if `--project-path` provided)
2. Analyze architecture from docs/code
3. Map technology stack

### Phase 3: Report Writing (× iterations)
1. Draft outline
2. Write sections iteratively
3. Add diagrams (Mermaid/ASCII)
4. Refine explanations

### Phase 4: Export (Full mode only)
1. Setup conda env
2. Install dependencies
3. Run experiments
4. Append results to report

### Phase 5: PDF Generation
1. Call md2pdf skill
2. Send to user via Telegram

## Output Structure

```
<workspace>/
├── reports/
│   ├── <topic>_report_v1.md
│   ├── <topic>_report_v2.md
│   ├── <topic>_report_final.md
│   └── <topic>_report_final.pdf
├── memory/YYYY-MM-DD.md (appended)
└── logs/<topic>_research.log
```

## Report Template

The generated report follows this structure:

1. **Ex...

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