research

Orchestrate five sub-skills to run research pipelines with state tracking.

Updated Feb 27, 2026

Search Tags:#workflow #research #logging #ai #orchestration #backtesting #hypothesis

Ready to run

npx skills add https://github.com/danny0926/NLP-data-for-trading --skill research-danny0926

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/danny0926/NLP-data-for-trading/tree/main/.claude/skills/research
Command: npx skills add https://github.com/danny0926/NLP-data-for-trading --skill research-danny0926

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating end-to-end research pipelines across hypothesis definition, experimental design, backtesting, analysis, and reporting to ensure reproducible results.

Core Features & Use Cases

End-to-end orchestration of five sub-skills (scope, design, run, analyze, log) to complete a research cycle.
Flexible execution modes: step-by-step with human confirmations or one-click full pipeline executions.
Persistent state tracking via docs/research_state.json and automatic logging to a research_log for auditability.

Quick Start

Initiate a new /research session with your topic and choose either the guided step-by-step flow or a full one-shot execution.

Frequently Asked Questions about research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I orchestrate end-to-end research pipelines with AI?▼

You orchestrate end-to-end research pipelines by coordinating sub-skills for hypothesis definition, experimental design, backtesting, analysis, and documentation. Choose between a guided step-by-step flow with human checkpoints or a one-click full pipeline execution.

How does state tracking work for hypothesis testing and backtesting workflows?▼

State tracking for hypothesis testing works by maintaining a persistent state JSON file at docs/research_state.json. This records your pipeline progress across stages, ensuring reproducible results and enabling seamless resumption of structured research workflows.

What is the best way to log research results for auditability?▼

The best way to log research results for auditability is to use structured prompts that write conclusive entries directly to a research_log. This ensures your hypothesis exploration and AB testing outcomes are persistently documented for later review.

Can I run AB testing and experimental design without manual confirmation?▼

Yes, you can run AB testing and experimental design without manual confirmation by selecting the one-click full execution mode. This automates the entire orchestration cycle from hypothesis definition to analysis, bypassing guided step-by-step human checkpoints.

Do I need any specific dependencies to coordinate structured research workflows?▼

No specific dependencies are required to coordinate structured research workflows. The orchestration operates independently, managing your state file and research log natively to cover hypothesis exploration, AB testing, and results logging without external tools.