dcarranza-cc/commandcc
Command Claude Code. Conquer. Deploy 4-128 AI agents in parallel from a single terminal. Pre-built operations, agent hierarchy (Opus/Sonnet/Haiku), and military C2 server.
Platform-specific configuration:
{
"mcpServers": {
"commandcc": {
"command": "npx",
"args": [
"-y",
"commandcc"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
16 agents. 4 features. 131 tests. 13 minutes.
Command Claude Code. Conquer.
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CommandCC is a military-grade orchestration system for Claude Code. One human commands 16 to 128 AI agents from a single terminal. You type objectives. The system deploys a coordinated fleet of specialized agents across parallel waves. You read the battle map when it is done.
This is not a framework. This is a doctrine.
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The operator typed four sentences. The system deployed 16 agents across 4 phases. When the operation completed 13 minutes later, 4 features had been implemented with 131 tests, all passing. Human cognitive load compression: 200x.
| Metric | Value | |---|---| | Human input | ~4 sentences | | Agents deployed | 16 | | Features implemented | 4 | | Tests written | 131 | | Tests passing | 131 | | Wall clock time | 13 minutes | | Cognitive load compression | 200x |
See BATTLE-MAP-OPBLITZ3.md for the full record. See examples/OPBLITZ3/ for the complete walkthrough.
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Nine sequential phases. Each phase fans out into parallel agents, then collapses into a shared artifact before the next phase begins. The arms of the octopus are your agents. The spine is the artifact chain.
OPERATOR
|
_______________v_______________
| |
| Phase 0: RECON |
| [scout] [scout] [scout] ... | <- Haiku, READ-ONLY, 30s
|_______________________________|
|
RECON-REPORT.md
|
_______________v_______________
| |
| Phase 1: STRATEGY |
| [strategist] | <- Opus, 2 min
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