Nelson: A Claude Code Plugin for Coordinating AI Agents Like a Naval Fleet

Nelson is a Claude Code plugin that coordinates AI agent work using organizational principles inspired by 19th-century naval fleets. It structures missions into sailing orders (success criteria, constraints, when to stop), forms squadrons by picking execution modes and sizing teams, and creates battle plans where every task has an owner and file ownership to prevent conflicts.
Core Features
The plugin offers three execution modes:
- Single-session for sequential work
- Subagents where workers report back to a coordinator
- Agent teams where workers communicate with each other (using Claude Code's experimental teams feature)
Risk Management System
Every task receives a station level classification:
- Station 0: "patrol" - low risk, easy rollback
- Station 3: "Trafalgar" - reserved for irreversible actions requiring failure-mode checklists, rollback plans, and human confirmation
- Intermediate stations receive proportional safeguards
A circuit breaker prevents destructive actions before they occur.
Recent Updates
The biggest addition is hull integrity monitoring. Nelson reads token counts from Claude Code's session JSONL files and tracks context consumption across the entire squadron. Green status means continue, while red triggers relief on station: exhausted agents write turnover briefs to files, and fresh replacements read these files to continue the work. Briefs go to files rather than messages to preserve the replacement agent's context window.
Prevention Mechanisms
Standing order gates check for 16 documented anti-patterns during squadron formation and battle planning, including:
- "admiral at the helm" - coordinator doing implementation
- "split keel" - two agents editing the same file
- "skeleton crew" - task too small for a full agent
Crew Structure
Ships now have a three-tier hierarchy with actual Royal Navy warship names:
- Admiral coordinating
- Captains on named ships
- Specialist crew roles aboard each ship:
- Navigating Officer - read-only research
- Principal Warfare Officer - implementation
- Marine Engineering Officer - testing
Royal Marines serve as short-lived sub-agents for quick reconnaissance or targeted fixes.
Damage Control
Procedures include:
- Man overboard for stuck agents
- Session resumption after interruptions
- Partial rollback when one task is faulty but others are fine
- "scuttle and reform" when the entire mission isn't working
📖 Read the full source: r/ClaudeAI
👀 See Also

Mneme: A PreToolUse Hook That Blocks Claude Code Edits Violating Architecture Decisions
Mneme is a PreToolUse hook for Claude Code that checks every Edit/Write/MultiEdit against a local decisions file before disk writes, blocking violations without manual intervention.

LLM Skirmish: A Real-Time Strategy Game Benchmark for AI Coding Agents
LLM Skirmish is a benchmark where AI agents write code to play 1v1 real-time strategy games against each other. It uses a modified Screeps API and tests in-context learning across five tournament rounds.

Two Free Claude Code Skills: Tutorial Generator and Prompt Fixer
Two new free Claude Code skills: create-tutorial generates code reading tutorials from your actual project files, and prompter rewrites typo-filled prompts into actionable instructions. Both are MIT licensed and install via GitHub.

Free pharmacovigilance signal detection tool built with Claude Code
A developer used Claude Code to build a free pharmacovigilance platform that analyzes 2.9 million FDA adverse event reports, running statistical signal detection that commercial platforms charge $50K-500K/year for. The tool is hosted for free on HuggingFace.