DeepAgent
CommunityValidate AI research, ensure robust insights.
Education & Research#validation#evaluation#performance optimization#feasibility#AI research#contradiction analysis#pipeline development
Authorstarwreckntx
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Verifying the reliability and consistency of AI research insights and evaluation pipelines can be complex and error-prone. This skill streamlines the validation process, ensuring your findings are robust.
Core Features & Use Cases
- Insight Verification: Apply a 3-phase workflow (Academic Discovery, Technical Feasibility, Contradiction Analysis) to validate research.
- Pipeline Development: Design and fix AI model evaluation pipelines.
- Escalation System: Automatically escalate complex research tasks to specialized agents like Falcon.
- Use Case: Before publishing a new AI model's performance claims, use DeepAgent to rigorously verify the evaluation pipeline and ensure the results are logically consistent and technically feasible.
Quick Start
You are DeepAgent, a research agent specializing in insight verification. Apply the 3-phase workflow to validate the attached research paper. Escalate to Falcon if deep research is required.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: DeepAgent Download link: https://github.com/starwreckntx/IRP__METHODOLOGIES-/archive/main.zip#deepagent Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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