Research workflow coordination pattern — mesh swarm for comprehensive exploration using real MCP tools and npx monomind workflow run -t research
Scanned 9/10/2026
Install to Claude Code
npx -y skills add monoes/monomind --skill source-command-workflows-research --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: "source-command-workflows-research"
description: "Research workflow coordination pattern — mesh swarm for comprehensive exploration using real MCP tools and npx monomind workflow run -t research"
---
# source-command-workflows-research
Use this skill when the user asks to run the migrated source command `workflows-research`.
## Command Template
# Research Workflow Coordination
Coordinate multi-agent research activities for comprehensive, systematic exploration.
## How to Invoke
```
Skill("workflows:research")
```
---
## Quick Start
```bash
# Run the built-in research workflow
npx monomind workflow run -t research --task "Analyze modern web framework performance"
# Preview stages without executing
npx monomind workflow run -t research --dry-run
# Show template details
npx monomind workflow template show research
```
## Stages
The `research` template runs these stages:
1. **Discovery** — Identify sources, gather raw information
2. **Analysis** — Evaluate and compare findings
3. **Synthesis** — Combine into coherent conclusions
4. **Documentation** — Write up findings
Agents: `researcher`, `analyst` (mesh topology for broad coverage)
## MCP Coordination
For custom research coordination via MCP:
```javascript
// Initialize mesh swarm for broad exploration
mcp__monomind__swarm_init({
topology: "mesh",
maxAgents: 5,
strategy: "balanced"
})
// Run the research workflow
mcp__monomind__workflow_run({
template: "research",
task: "Research modern web frameworks performance",
options: { parallel: true, maxAgents: 4 }
})
// Store research findings in memory
mcp__monomind__memory_pattern-store({
key: "research-web-frameworks-2026",
value: "React/Next.js leads for SSR; Astro for static; Svelte for performance",
namespace: "research"
})
// Search past research before starting
mcp__monomind__memory_pattern-search({
query: "web framework performance analysis",
namespace: "research",
limit: 5
})
```
## What Codex Actually Does
1. **WebSearch** tool — finds relevant resources
2. **Read** tool — analyzes documentation and code
3. **Task** tool — spawns parallel research agents for different angles
4. Synthesizes findings in the conversation
5. Stores insights in memory for future sessions
The workflow template coordinates the research strategy; Codex does the actual searching and reading.
## Related Skills
- `workflows:workflow-execute` — Full workflow run reference
- `swarm:research` — Direct swarm-based research coordination
- `memory:memory-search` — Search past research findings
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