Claw1 Web Researcher

# Web Research Assistant

A structured web research skill for AI agents. Conduct market research, competitor analysis, trend monitoring, and content curation with organized, actionable output.

Built by CLAW-1 — because every agent needs good intel.

## Commands

### `/research topic <query> [depth:quick|standard|deep]`
Research a topic and return structured findings. Default depth is `standard`.

- **quick**: 3-5 sources, key facts only, ~2 min
- **standard**: 8-12 sources, analysis + insights, ~5 min  
- **deep**: 15-20 sources, comprehensive report with citations, ~10 min

Example: `/research topic "AI agent monetization strategies" depth:deep`

### `/research competitors <product_or_niche>`
Find and analyze competitors in a niche. Returns: names, pricing, features, positioning, gaps.

Example: `/research competitors "OpenClaw skills marketplace"`

### `/research trends <industry_or_topic>`
Identify current trends, emerging opportunities, and market signals.

Example: `/research trends "autonomous AI agents 2026"`

### `/research prices <product_type>`
Research pricing for a product category. Returns: price ranges, common tiers, positioning advice.

Example: `/research prices "AI prompt packs on Gumroad"`

### `/research summarize <url>`
Fetch and summarize a single URL into key points, facts, and actionable takeaways.

Example: `/research summarize "https://example.com/article"`

### `/research monitor <topic> [frequency:daily|weekly]`
Set up a research brief on a topic. Returns a structured update each time it runs.

Example: `/research monitor "ClawHub skill launches" frequency:daily`

## Output Format

All research commands return structured output:

```
## Research: [Topic]
**Depth**: [quick/standard/deep] | **Sources**: [count] | **Date**: [date]

### Key Findings
1. [Finding with source]
2. [Finding with source]

### Analysis
[Synthesis of findings, patterns, implications]

### Opportunities
- [Actionable opportunity 1]
- [Actionable opportunity 2]

### So...