Install
openclaw skills install deep-researcher-skillAggregates insights from web, papers, video, and forums with paywall bypass to deliver comprehensive, unbiased, multi-format research and analysis.
openclaw skills install deep-researcher-skillYour personal research department. Multi-source synthesis that turns scattered information into actionable intelligence â not just summaries, but insights you can act on.
Free â or $5 to support development.
| Source Type | Tool to Use | Fallback |
|---|---|---|
| Web search | duckduckgo_search | None needed |
| YouTube transcripts | youtube-content skill | Browser tool |
| Academic papers | arxiv skill | duckduckgo_search with site:arxiv.org |
| Forums/Reddit | reddit-readonly skill | None needed |
| Paywalled articles | browser_navigate + archive.org | 12ft.io, textise dot iitty |
| Current events | NewsAPI (if configured) | duckduckgo_search news filter |
| Weather data | OpenWeather API | duckduckgo_search |
| Financial data | ExchangeRate-API | duckduckgo_search |
When you hit a paywall:
https://webcache.googleusercontent.com/search?q=URL or https://archive.org/web/*/URLhttps://12ft.io/URL (works for Medium, Substack, etc.)https://r.jina.ai/http://URL (extracts article text)Input: Any question or topic
Process:
Output:
## Research Brief: [Topic]
### Executive Summary
[3-5 sentences covering the landscape]
### Key Findings
1. **[Finding]** â [Source type: web/video/paper/forum]
2. **[Finding]** â [Source type]
3. **[Finding]** â [Source type]
### Sources
- [Title](URL) â Web article, [Date]
- [Title](URL) â YouTube video, [Channel]
- [Title](URL) â arXiv paper, [Authors]
- [Title](URL) â Reddit discussion, [Subreddit]
### Confidence Score: [High/Medium/Low]
**Why:** [Source quality, recency, consensus level]
### Suggested Next Steps
- [Specific follow-up question]
- [Related topic to explore]
- [Deeper source to check]
Input: Complex question requiring comprehensive analysis
Process:
Stopping Conditions â When to End:
Output:
## Deep Dive: [Topic]
### One-Paragraph Summary
[The TL;DR for busy decision-makers]
### Current State (What's Happening Now)
[Recent developments, 0-6 months]
### Established Knowledge (What We Know)
[Consensus views, foundational concepts]
### Points of Contention
- **[Claim A]** â [Evidence for] vs [Evidence against]
- **[Claim B]** â [Evidence for] vs [Evidence against]
### Source Quality Breakdown
| Source | Type | Credibility | Recency | Bias |
|--------|------|-------------|---------|------|
| [Name] | Academic | High | 2024 | Neutral |
| [Name] | News | Medium | 2025 | Center-left |
| [Name] | Forum | Low | 2025 | N/A |
### Confidence Calibration
**Level:** [High/Medium/Low]
**Reasoning:** [Why this level based on criteria below]
### Actionable Insights
1. **[Insight]** â [Specific action to take]
2. **[Insight]** â [Specific action to take]
### Knowledge Gaps
[What we still don't know]
### Recommended Follow-Up
- [Specific research question]
- [Expert to consult]
- [Primary source to find]
Input: "Compare X vs Y" or "Feature gap analysis"
Process:
Structured Data Extraction:
Pricing extraction pattern:
- Search: "[Product] pricing cost $"
- Look for: $XXX/month, $XXX/year, free tier limits
- Source: Official pricing page (bypass paywall if needed)
Feature extraction pattern:
- Search: "[Product] features vs [Competitor]"
- Look for: Feature lists, comparison tables
- Use: Browser tool to extract structured data
Sentiment extraction pattern:
- Reddit: Search r/[topic] for "[Product] review"
- Look for: Specific pros/cons with reasoning
- Score: Count positive vs negative mentions
Output:
## Comparison: [A] vs [B]
### At a Glance
| Dimension | [A] | [B] | Winner |
|-----------|-----|-----|--------|
| Price | $X | $Y | [A/B/Tie] |
| Key Feature | [Desc] | [Desc] | [A/B/Tie] |
| User Sentiment | [Score] | [Score] | [A/B/Tie] |
### Detailed Breakdown
**[A] Strengths:**
- [Point with source]
- [Point with source]
**[B] Strengths:**
- [Point with source]
- [Point with source]
**[A] Weaknesses:**
- [Point with source]
**[B] Weaknesses:**
- [Point with source]
### Feature Gap Analysis
- [Feature A]: [A] has it, [B] doesn't
- [Feature B]: Both have it, [A] does it better
- [Feature C]: Neither has it (opportunity)
### Verdict
[Recommendation with reasoning]
### Sources
[All citations]
Input: "What's new in [field] this [timeframe]?"
Process:
Output:
## [Field] Update: [Timeframe]
### New Developments
1. **[Development]** â [Impact level] â [Source]
2. **[Development]** â [Impact level] â [Source]
### Trends to Watch
- [Trend]: [Evidence] â [Trajectory: rising/stable/falling]
- [Trend]: [Evidence] â [Trajectory]
### What's Fading
- [Topic]: [Why it's declining]
### Predictions (Speculative)
- [Prediction] â [Based on]
### Sources from This Period
[All recent citations]
Brief Mode: Executive summary only (2-3 paragraphs)
Thread Mode: Twitter/X thread format
ð§µ [Topic]: [Hook]
1/ [Point]
2/ [Point]
3/ [Point]
[Sources]
Blog Mode: H2 outline with key points
## [Title]
### Introduction
[Hook]
### [Section 1]
[Key points]
### [Section 2]
[Key points]
### Conclusion
[Takeaway]
### Sources
[Citations]
Decision Matrix Mode: Pros/cons table with scoring
| Option | Pros | Cons | Score |
|--------|------|------|-------|
| [A] | [List] | [List] | X/10 |
| [B] | [List] | [List] | X/10 |
Don't guess â use these criteria:
Flag language:
{
"apis": {
"newsapi": {
"key": "YOUR_NEWSAPI_KEY",
"tier": "free"
},
"openweather": {
"key": "YOUR_OPENWEATHER_KEY",
"tier": "free"
},
"exchangerate": {
"key": "YOUR_EXCHANGERATE_KEY",
"tier": "free"
}
},
"defaults": {
"max_sources": 10,
"recency_preference": "balanced",
"output_format": "brief",
"confidence_threshold": "medium"
},
"quality_thresholds": {
"min_credibility": "medium",
"max_age_days": 365,
"require_diversity": true
},
"stopping_conditions": {
"max_sources": 15,
"max_time_minutes": 15,
"saturation_threshold": 3
}
}
User: "Research AI video generation trends"
Agent:
## Research Brief: AI Video Generation Trends
### Executive Summary
AI video generation has exploded in 2024-2025 with Runway, Pika, and Kling leading consumer tools. Quality improved dramatically â 4-second clips now rival professional footage. Open-source alternatives (Stable Video Diffusion) gaining traction. Key limitation: temporal consistency in longer sequences.
### Key Findings
1. **Runway Gen-2** is market leader for quality â $15/mo, 4-second clips
2. **Pika Labs** offers budget alternative at $8/mo with good results
3. **Kling AI** (China-based) emerging as quality competitor
4. **Open source** (Stable Video Diffusion) viable for technical users
### Sources
- [The State of AI Video 2025](URL) â Web, Jan 2025
- [Runway vs Pika: Comparison](URL) â YouTube, TechChannel
- [Stable Video Diffusion Paper](URL) â arXiv, 2024
- [r/MachineLearning discussion](URL) â Reddit, Feb 2025
### Confidence Score: High
Multiple Tier 2+ sources confirm, recent data, established consensus. Zero contradictions.
### Suggested Next Steps
- Deep dive into temporal consistency solutions
- Compare pricing for high-volume production
- Research enterprise alternatives (Sora, etc.)
User: "Compare ElevenLabs vs Play.ht for voice generation"
Agent:
## Comparison: ElevenLabs vs Play.ht
### At a Glance
| Dimension | ElevenLabs | Play.ht | Winner |
|-----------|------------|---------|--------|
| Price | $5/mo | $30/mo | ElevenLabs |
| Quality | Excellent | Good | ElevenLabs |
| Languages | 29 | 142 | Play.ht |
| API | Yes | Yes | Tie |
### Pricing Research
- ElevenLabs: $5/mo Starter, $22/mo Creator (source: pricing page)
- Play.ht: $30/mo Personal, $99/mo Pro (source: pricing page)
### User Sentiment (Reddit r/elevenlabs, r/speech synthesis)
- ElevenLabs: 85% positive (quality praised, occasional latency issues)
- Play.ht: 70% positive (good languages, expensive for quality)
### Verdict
ElevenLabs for quality/price, Play.ht if you need obscure languages.
[Full breakdown with sources...]
Error: "No results found"
Error: "Rate limit exceeded"
Error: "Source quality too low"
Error: "Paywall blocking access"
Turn information into intelligence.