What subagents are used in research orchestration?

It utilizes four specialized agents: serena-explorer for codebase analysis, context7-researcher for library documentation, web-researcher for general patterns/articles, and github-researcher for community issues and PRs.

How does it handle research findings?

The skill synthesizes findings into a structured markdown report, saves it to persistent memory, and then automatically hands off the context to the implementation planning phase.

Can I customize which researchers are active?

Yes, the skill provides an interactive recommendation system based on your brainstorm context, allowing you to toggle specific researchers on or off before the parallel execution begins.

When should I use this skill?

Use it immediately after a brainstorming session when you select the 'research-first' option to ensure your implementation plan is backed by comprehensive data.

Research Orchestration

Name: Research Orchestration
Author: seanGSISG

byseanGSISG

Productividad y Flujo de Trabajo

Orchestrates parallel research subagents across codebase, documentation, and web sources to build comprehensive technical context before implementation.

Acerca de

Research Orchestration is a specialized coordination skill designed for complex development tasks that require deep context gathering before coding begins. It intelligently manages up to four specialized subagents—covering internal codebase architecture, official library documentation, general web patterns, and GitHub community discussions—to perform simultaneous investigations. By synthesizing these diverse data points into a single, cohesive research document and automatically persisting it to memory, this skill ensures that implementation plans are grounded in best practices, existing patterns, and documented edge cases.

Características Principales

Intelligent researcher selection based on brainstorm context
Synthesis of codebase architecture, official docs, and web findings
Automated state persistence and research memory saving
Seamless handoff to implementation planning workflows
0 GitHub stars
Parallel execution of up to 4 specialized research subagents

Casos de Uso

Gathering official documentation and community solutions for complex library migrations
Conducting feasibility studies for new feature integrations
Analyzing existing codebase patterns to ensure architectural consistency for new modules

Acerca de

Características Principales

Intelligent researcher selection based on brainstorm context
Synthesis of codebase architecture, official docs, and web findings
Automated state persistence and research memory saving
Seamless handoff to implementation planning workflows
0 GitHub stars
Parallel execution of up to 4 specialized research subagents

Casos de Uso

Gathering official documentation and community solutions for complex library migrations
Conducting feasibility studies for new feature integrations
Analyzing existing codebase patterns to ensure architectural consistency for new modules