Rechercher

PythonReactSEOPDF
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.

huaruoji0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install huaruoji/research-report

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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
  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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/huaruoji/research-report
Version
—
Commit
90aea213c90b2b98a5498c1eaabc530d07e25d19
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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