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# Academic Deep Research 🔬
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**Transparent, rigorous, self-contained research** — not a black-box API wrapper.
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## Why This Skill Exists
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Most "deep research" tools are wrappers around external APIs. You send a query, get a report, and have no idea what happened in between.
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**This skill is different:**
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- ✅ **Full methodology visible** — Every step documented, reproducible
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- ✅ **No external dependencies** — Runs entirely on OpenClaw native tools
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- ✅ **User control** — 3 explicit checkpoints for approval
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- ✅ **Academic rigor** — APA citations, evidence hierarchy, confidence levels
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- ✅ **Works offline** — No API keys, no cloud services
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## Comparison with Cloud-Based Research Tools
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| Feature | This Skill | Cloud API Wrappers |
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|---------|------------|-------------------|
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| Methodology | Fully documented | Black box |
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| Dependencies | None | External API + key |
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| Offline | ✅ Yes | ❌ No |
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| User Checkpoints | 3 approval points | Usually none |
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| Citation Format | APA 7th edition | Varies/unspecified |
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| Evidence Hierarchy | Explicit (meta-analyses → opinion) | Unspecified |
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| Output Control | Strict prose, no bullet points | Varies |
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| Reproducibility | ✅ Same inputs = same process | ❓ Unknown |
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## Core Features
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### Mandated Research Cycles
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Every theme gets **minimum 2 full research cycles**:
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1. Broad landscape search → Analysis → Gap identification
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2. Targeted deep dive → Challenge assumptions → Synthesis
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No shortcuts. No single-pass summaries.
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### Evidence Standards
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- **Every conclusion cites multiple sources**
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- **Contradictions must be addressed** — not hidden
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- **Confidence annotations:** [HIGH], [MEDIUM], [LOW], [SPECULATIVE]
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- **Evidence hierarchy:** Meta-analyses > RCTs > Observational > Expert opinion
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### Academic Output
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- Flowing narrative prose (no bullet point dumps)
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- APA 7th edition citations (1-2 per paragraph)
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- Proper paragraph structure: claim → evidence → analysis → transition
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- Executive summary, methodology, findings, limitations, references
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### User Control
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Three mandatory stop points:
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1. **Initial Engagement** — Clarify scope before research
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2. **Research Planning** — Approve themes and approach
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3. **Final Report** — Review completed analysis
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## Quick Start
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```
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/research "Comprehensive analysis of [your topic]"
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```
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Or just ask for "deep research on..." or "exhaustive analysis of..."
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## Research Protocol
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### Phase 1: Clarification
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Agent asks 2-3 essential questions, confirms understanding, **waits for you**.
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### Phase 2: Planning
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Agent presents:
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- Major themes identified (3-5)
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- Research execution plan (table format)
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- Expected deliverables
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**You approve before execution begins.**
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### Phase 3: Execution (Auto)
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For each theme, two full cycles:
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- `web_search` (count=20) for landscape
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- Analysis and gap identification
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- `web_fetch` on primary sources
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- Synthesis and assumption challenging
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- Repeat for depth
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**Required:** Explicit analysis between every tool call showing evolution of understanding.
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### Phase 4: Report
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Academic narrative with:
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- Executive Summary
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- Knowledge Development
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- Comprehensive Analysis
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- Practical Implications
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- APA References
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## File Structure
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```
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deep-research/
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├── SKILL.md # Full methodology (500+ lines)
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├── README.md # This file
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├── quickref.md # One-page cheat sheet
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├── example.md # Complete workflow example
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└── LICENSE # Apache 2.0
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```
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## When to Use This
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- Literature reviews requiring academic rigor
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- Competitive intelligence with source verification
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- Complex topics needing multi-source synthesis
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- Any research where you need to **show your work**
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- When you don't trust black-box AI summaries
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## License
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Apache 2.0 — See [LICENSE](LICENSE)
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---
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**Built for researchers who care about methodology, not just outputs.**
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