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research

Decompose research goals into parallel investigations and synthesize verified findings into reports.

20|6|Updated Feb 13, 2026
Search Tags:#research#multi-agent#cross-validation#evidence synthesis#parallel analysis#autonomous workflow
One-click install
npx skills add https://github.com/realsigridjin/oh-my-codex --skill research-realsigridjin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/realsigridjin/oh-my-codex/tree/main/skills/research
Command: npx skills add https://github.com/realsigridjin/oh-my-codex --skill research-realsigridjin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns broad or complex research questions into structured, verifiable investigations instead of fragmented, inconsistent analysis.

Core Features & Use Cases

  • Parallel Research: Decompose a goal into 3–7 independent stages and assign scientist agents based on task complexity.
  • Verification and Synthesis: Cross-validate findings, identify contradictions, track evidence, and produce a comprehensive report.
  • Resumable Workflows: Support standard and autonomous AUTO mode research with persistent state, iteration limits, cancellation, and session recovery.
  • Use Case: Analyze an authentication system by investigating its files, token handling, session management, and security risks in parallel before synthesizing a cited report.

Quick Start

Use the research skill to investigate the authentication flow in this codebase and produce a verified report with evidence.

Frequently Asked Questions about research

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

FAQPage Schema
How do I conduct parallel analysis on a complex codebase architecture?▼

Multi-agent research decomposes complex goals into parallel investigations, uses verification loops to cross-validate evidence, and tracks contradictions before synthesizing a cited report.

How does cross-validation work during evidence synthesis?▼

Cross-validation during evidence synthesis works by having multiple agents verify extracted findings, identify contradictions, and track evidence sources before consolidating the verified data into a final comprehensive report.

Can I run autonomous workflows for security reviews and hypothesis testing?▼

Yes, autonomous workflows support an AUTO mode for security reviews and hypothesis testing, utilizing persistent session state, iteration limits, and session recovery to execute multi-stage investigations without manual intervention.

What is the best way to structure multi-stage investigations for documentation research?▼

The best way to structure multi-stage investigations for documentation research is through explicit stage planning and agent model routing, which assigns specific investigation tasks to agents based on complexity for parallel execution.

Does this approach support resumable workflows if a research session is interrupted?▼

Yes, resumable workflows are supported through persistent session state, allowing standard and autonomous research to recover sessions, handle cancellations, and resume multi-stage investigations without losing extracted evidence.

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