Where are the research findings stored?

Findings are automatically synthesized into a structured Markdown file and saved to the Serena MCP memory for persistence and future reference.

What specific researchers does this skill orchestrate?

It manages four specialized agents: serena-explorer for codebases, context7-researcher for library docs, web-researcher for general patterns, and github-researcher for issues and PRs.

What happens if one of the research subagents fails?

The orchestrator is designed to be resilient; it will continue with the other subagents, note the missing data in the synthesis, and offer to re-run the failed researcher.

Can I customize which researchers are activated?

Yes, the skill provides an interactive toggle during the selection phase, allowing you to enable or disable specific researchers based on your needs.

How does this improve the coding process?

By performing deep research before planning, the AI ensures that implementation steps are based on factual documentation and existing code patterns rather than assumptions.

Research Orchestrator

Name: Research Orchestrator
Author: seanGSISG

byseanGSISG

0•

생산성 및 워크플로

Coordinates parallel research subagents to gather codebase, documentation, and community insights before generating implementation plans.

Research Orchestrator is a specialized Claude Code skill designed to streamline the discovery phase of software development by managing up to four parallel research subagents. It intelligently selects and triggers specialized researchers—covering codebase architecture, official library documentation, web-based best practices, and GitHub issues—to synthesize a comprehensive technical foundation. By automating the data-gathering and synthesis process, it ensures that subsequent implementation plans are grounded in actual project context and industry standards, significantly reducing architectural drift and integration errors.

주요 기능

01Parallel execution of up to 4 specialized research subagents

02Automated state persistence and memory saving via Markdown

03Context-aware researcher selection based on brainstorming results

04Seamless handoff to implementation planning skills

05Multi-source synthesis covering codebase, docs, web, and GitHub

060 GitHub stars

사용 사례

01Integrating a new library or framework into an existing project architecture

02Architecting new features based on current industry standards and internal patterns

03Troubleshooting complex bugs by cross-referencing local code with community issues

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add seangsisg/crispy-claude research-orchestration

For use in Claude.ai and ChatGPT

Download Skill