research-orchestration
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
Best use case
research-orchestration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
Teams using research-orchestration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/research-orchestration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How research-orchestration Compares
| Feature / Agent | research-orchestration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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)
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