research

Decompose research goals into parallel stages with scientist agents.

Updated Feb 15, 2026
One-click install
npx skills add https://github.com/leejaedus/pepcode --skill research-leejaedus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/leejaedus/pepcode/tree/main/skills/research
Command: npx skills add https://github.com/leejaedus/pepcode --skill research-leejaedus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research teams often struggle to manage complex, multi-stage investigations that require coordinating multiple parallel experiments and analyses. This skill automates decomposition, parallel execution, verification, and synthesis for comprehensive results.

Core Features & Use Cases

  • Decomposes a high-level research goal into independent stages and runs them in parallel with specialized agents.
  • Supports optional AUTO mode for autonomous end-to-end execution with iterative verification and session tracking.
  • Provides session management commands (status, resume, list, report, cancel) and structured findings for reproducibility.

Quick Start

Start a session with /pepcode:research <goal> to begin parallel investigations and autonomous progression.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate multi-stage research workflows with parallel agents?

Automate multi-stage research workflows by decomposing high-level goals into independent investigative stages, coordinating specialized scientist agents to gather, analyze, verify, and synthesize data in parallel.

How does cross-validation work during parallel investigations?

Cross-validation during parallel investigations works by applying iterative verification across concurrent agent outputs, ensuring synthesized findings are checked against multiple independent data sources.

Can I run autonomous end-to-end research tasks without manual intervention?

Yes, you can run autonomous end-to-end research tasks using the optional AUTO mode, which handles iterative verification and session tracking without requiring manual intervention.

How do I track and resume parallel research sessions?

Track and resume parallel research sessions using built-in session management commands like status, resume, list, report, and cancel to monitor autonomous progression and ensure reproducibility.

What is the best way to coordinate concurrent data gathering across codebases and documentation?

The best way to coordinate concurrent data gathering across codebases and documentation is to decompose the target into explicit investigative stages, invoking parallel agents for concurrent execution and synthesis.

When should I not use autonomous parallel agents for research decomposition?

You should not use autonomous parallel agents for research decomposition when your investigation lacks explicit stage definitions or requires strictly sequential, dependent data gathering without cross-validation.