Can the subagent commit code to Git?

No, the protocol explicitly forbids the subagent from committing changes or altering Git states, leaving final review and version control to the orchestrator.

What happens if the subagent encounters a blocker?

The protocol includes specific escalation rules that require the agent to stop execution and report the blocker after three failed attempts or when encountering ambiguous requirements.

What is the Subagent Protocol?

It is a set of rules and communication patterns that allow an AI agent to act as a delegated worker, providing concise updates to an orchestrator while handling implementation details in the background.

How does this skill save tokens?

By enforcing terse summaries in the main chat and moving verbose logs, traces, and implementation details to a local history directory, it prevents the main context from becoming bloated.

When should I use the Subagent Protocol skill?

Use this skill whenever you are delegating specific, scoped tasks to Claude within a larger development process that requires clear boundaries and high efficiency.

Subagent Protocol

Name: Subagent Protocol
Author: rbergman

byrbergman

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Productividad y Flujo de Trabajo

Establishes a structured, low-overhead communication protocol for delegated AI agents to implement tasks efficiently.

Acerca de

The Subagent Protocol skill optimizes multi-agent workflows by transforming Claude into a focused executor under an orchestrator's guidance. It enforces strict file ownership boundaries, requires terse summaries to minimize token consumption, and offloads verbose implementation details to a dedicated history directory. This skill is essential for complex software projects where task delegation, clear escalation paths, and non-destructive operations are critical for maintaining codebase integrity and maximizing productivity.

Características Principales

Terse output summaries to reduce token usage and noise
1 GitHub stars
Strict file ownership and READ-ONLY boundary enforcement
Automated history logging for detailed execution tracking
Standardized escalation triggers for blockers and configuration changes
Pre-defined quality gate verification for multiple languages

Casos de Uso

Automating repetitive refactoring tasks across restricted file sets
Delegating specific module implementations in large-scale codebases
Coordinating multi-agent development where one agent orchestrates and others execute

Acerca de

Características Principales

Terse output summaries to reduce token usage and noise
1 GitHub stars
Strict file ownership and READ-ONLY boundary enforcement
Automated history logging for detailed execution tracking
Standardized escalation triggers for blockers and configuration changes
Pre-defined quality gate verification for multiple languages

Casos de Uso

Automating repetitive refactoring tasks across restricted file sets
Delegating specific module implementations in large-scale codebases
Coordinating multi-agent development where one agent orchestrates and others execute