# Research Orchestration

> Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.

- Skill: `majiayu000/research-orchestration-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/research-orchestration-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/research-orchestration-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/research-orchestration-2

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# Research Orchestration

## Overview

Orchestrates 5-10 parallel research agents for comprehensive, multi-source research. Achieves up to 90% faster results compared to sequential research through concurrent execution.

## Research Depths

| Depth | Agent Count | Use Case |
|-------|------------|----------|
| Shallow | 5 | Quick fact-finding, simple queries |
| Medium | 7 | Standard research, moderate complexity |
| Deep | 10 | Comprehensive analysis, complex queries |

## Process Flow

1. **Plan**: Decompose query into independent sub-queries
2. **Dispatch**: Run 5-10 research agents in parallel
3. **Synthesize**: Merge findings, identify consensus and conflicts
4. **Validate**: Cross-reference against codebase for accuracy

## Sources

- Codebase: source files, patterns, implementations
- Documentation: README, JSDoc, inline comments
- Configuration: package.json, tsconfig, CI/CD configs

## Confidence Scoring

Overall confidence is a weighted average of individual agent confidence scores, adjusted by validation results. Below 70% triggers human review.

## When to Use

- `/research [query]` slash command
- Before specification creation
- When investigating unfamiliar parts of the codebase

## Processes Used By

- `claudekit-research` (primary consumer)