research

Orchestrate 3-20 AI sub-agents to conduct parallel research and synthesize findings.

Updated Aug 23, 2026

Search Tags:#research #investigation #parallel processing #analysis #information gathering #multi-agent #sonnet 4.5

One-click install

npx skills add https://github.com/peterkc/acf --skill research-peterkc

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/peterkc/acf/tree/main/.claude/skills/research
Command: npx skills add https://github.com/peterkc/acf --skill research-peterkc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Complex research often takes too long, is prone to bias, and struggles with breadth and depth. This skill solves this by orchestrating multiple AI agents to conduct parallel research, reducing time and increasing comprehensiveness, while minimizing manual oversight.

Core Features & Use Cases

Multi-Agent Orchestration: Utilizes an orchestrator-worker pattern, deploying 3-20 research sub-agents for parallel information gathering.
Accelerated Insights: Performs research up to 90% faster than sequential methods, optimized for advanced reasoning models like Sonnet 4.5.
Context-Aware: Automatically detects ACE (Anthropic Code Engine) context for specialized topics like Memgraph or Voyage AI, loading relevant internal documentation.
Use Case: Imagine you need to compare several database technologies for a new project. Use this skill to deploy agents to research each one simultaneously, synthesizing findings into a concise report with citations, saving you days of manual investigation.

Quick Start

Use the research skill to investigate the pros and cons of serverless architectures for high-traffic web applications.