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- Kido Swarm Orchestrator — Maximum-Speed Subagent Batching & Domain Partitioning
Kido Swarm Orchestrator — Maximum-Speed Subagent Batching & Domain Partitioning
High-throughput autonomous subagent orchestration protocol for Claude Code, Codex, and Google Antigravity. Decomposes full-stack engineering tasks into isolated non-overlapping domain partitions (Spec
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About this skill
Kido Swarm Orchestrator — Maximum-Speed Subagent Batching & Domain Partitioning
High-throughput autonomous subagent orchestration protocol for Claude Code, Codex, and Google Antigravity. Decomposes full-stack engineering tasks into isolated non-overlapping domain partitions (Spec, Frontend UI, Backend Core, DevOps Infra, QA Telemetry) and dispatches them concurrently in a single batch tool call with zero inter-agent lock contention by Dương Phúc Khánh (Duong Phuc Khanh · Kido — blog.khanhdp.com | khanhdp.com)
Key Capabilities
- Single-turn batch tool invocation eliminating iterative conversation roundtrips
- Non-overlapping file tree partitioning to eliminate Git merge conflicts
- Tiered model selection: Argon 4 High (pro) for orchestrator, Flash 3.8 for executors
- Autonomous lifecycle completion signaling back to Master Agent
Author: Dương Phúc Khánh (Duong Phuc Khanh · Kido) — blog.khanhdp.com | khanhdp.com/about
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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