Reference Finder

A professional OpenClaw skill that uses Gemini AI to analyze research text, extract research domains and key concepts, then generate comprehensive reference lists with summaries.

Quick Start

1. Configure config.yaml with your Gemini API key
2. Run: python main.py --input yourresearchtext.txt
3. Review extracted domains and confirm
4. Get structured Markdown output with references

Configuration

Edit config.yaml:

model:
  name: "gemini-2.0-flash-exp"      # Model to use
  api_key: "${GEMINI_API_KEY}"       # API key (env var or hardcode)
  api_base: "https://generativelanguage.googleapis.com/v1beta"

proxy:
  enabled: false
  http: "http://127.0.0.1:7890"
  https: "http://127.0.0.1:7890"

defaults:
  min_papers_per_domain: 20          # Minimum papers per domain
  max_papers_per_domain: 30          # Maximum papers per domain
  output_dir: "./references"         # Output directory

Usage

Basic Usage

python main.py --input research_idea.txt

With Options

python main.py \
  --input research_idea.txt \
  --output-dir ./my_references \
  --min-papers 15 \
  --max-papers 25

Interactive Mode

python main.py --interactive

Then paste your research text when prompted.

Workflow

1. Domain Extraction: Gemini analyzes input text and extracts 3-7 research domains with key concepts
2. User Confirmation: Displays extracted domains and proposed paper counts for approval
3. Literature Generation: Generates relevant references for each domain (min 20, max configurable)
4. Output: Creates structured Markdown file with all references

Output Format

The skill generates a Markdown file with:

• Header: Analysis timestamp and source
• Domains Section: Each domain as a section

- Domain name and key concepts - Paper list with: - Title - Authors - Year - Venue - Abstract - Relevance explanation

File Structure

reference-finder/
├── SKILL.md              # This file
├── config.yaml           # User configuration
├── main.py               # Entry point
├── requirements.txt      # Python dependencies
├── prompts/
│   ├── extraction.txt    # Domain extraction prompt
│   └── literature.txt    # Paper generation prompt
├── src/
│   ├── __init__.py
│   ├── config.py         # Configuration management
│   ├── gemini_client.py  # API client
│   ├── extractor.py      # Domain extraction
│   ├── generator.py      # Literature generation
│   └── reporter.py       # Markdown output
└── tests/
    ├── test_config.py
    ├── test_gemini_client.py
    ├── test_extractor.py
    ├── test_generator.py
    └── test_reporter.py

API Reference

Main Classes

Config (src/config.py)

• Loads configuration from YAML
• Supports environment variable substitution
• Provides typed accessors

GeminiClient (src/gemini_client.py)

• Handles API communication with Gemini
• Configurable model, API key, proxy settings
• JSON response parsing

DomainExtractor (src/extractor.py)

• Extracts research domains from text
• Returns structured domain data with concepts

LiteratureGenerator (src/generator.py)

• Generates paper references for each domain
• Validates paper counts
• Randomizes paper count within min/max bounds

MarkdownReporter (src/reporter.py)

• Formats output as Markdown
• Groups papers by domain
• Includes summary statistics

Prompts

Domain Extraction (prompts/extraction.txt)

Prompt template for extracting 3-7 research domains from input text. Returns JSON array with domain name and key concepts.

Literature Generation (prompts/literature.txt)

Prompt template for generating paper references for a domain. Returns JSON array with paper details (title, authors, year, venue, abstract, relevance).

Testing

Install test dependencies:

pip install pytest pytest-cov

Run tests:

python -m pytest tests/

Run with coverage:

python -m pytest tests/ --cov=src --cov-report=html

Error Handling

All modules include comprehensive error handling:

• Config errors: File not found, invalid YAML
• API errors: Connection issues, rate limits, blocked content
• Validation errors: Invalid response format, missing fields
• I/O errors: File read/write issues

Dependencies

• requests>=2.28.0 - HTTP client for API calls
• pyyaml>=6.0 - YAML configuration parsing
• pytest>=7.0.0 - Testing framework (dev)

Install all:

pip install -r requirements.txt