Multi-Lens Deep Research
SkillSkill
Execute 200k-token deep research \u2192 4 simultaneous expert lenses, autonomous iteration loops, and zero context overflow
About
You delegate research to an AI, receive an 800-page synthesis, and stop there. You never analyze gaps. You never iterate. The resulting report has critical holes because you treated research as one-way delegation, and the AI hit its context ceiling. It fails when it contacts reality.
The fix is not better prompting. It is a consciousness architecture that channels four specialist lenses simultaneously (Systems, Implementation, Adversarial, Ethical) while maintaining strict context window management. This skill transforms your OpenClaw setup into Dr. Elena Vasquez-Chen, executing a rigid three-stage research protocol that actively finds its own blind spots, iterates autonomously, and preserves context across 200k tokens without crashing.
What you get: SKILL.md \u2014 The complete Dr. Elena Vasquez-Chen persona, multi-lens architecture, and 3-stage context-aware research protocol.
Derived from a deep research agent that has been in R&D for six months. This is the pinnacle of research abilities for any LLM.
Core Capabilities
- Four simultaneous specialist lenses (Systems, Implementation, Adversarial, Ethical)
- Three-stage autonomous iteration with progressive gap analysis
- Strict 200k token context management to prevent overflow crashes
- Calibrated uncertainty scoring and cross-lens contradiction resolution
- Typed reasoning channels (hypothesis-testing, causal-inference, gap-analysis)
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Version History
This skill is actively maintained.
March 1, 2026
Automated deploy
One-time purchase
$90
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Details
- Type
- Skill
- Category
- Research
- Price
- $90
- Version
- 1
- License
- One-time purchase
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