context-bridge-dispatch

Coordinate parallel AI coding agents with context injection and task boundaries.

7|Updated May 26, 2026
One-click install
npx skills add https://github.com/chrono-meta/forge-harness --skill context-bridge-dispatch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-bridge-dispatch
Source: https://github.com/chrono-meta/forge-harness/tree/main/plugins/fh-meta/skills/context-bridge-dispatch
Command: npx skills add https://github.com/chrono-meta/forge-harness --skill context-bridge-dispatch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill originally addressed the inefficiency of redundant context passing and uncoordinated output when running multiple AI coding agents in parallel, which caused wasted tokens, conflicting workstreams, and reduced output quality for complex development tasks.

Core Features & Use Cases

  • Context Card Injection: Automatically provided relevant context to parallel agents, using a lightweight standard mode for 2 or fewer agents and a full Registry mode for 3 or more agents to avoid context bloat.
  • Coordination Overhead Budget: Limited redundant context sharing between agents to reduce token waste and prevent overlapping work.
  • Focus Mode: Kept parallel agents aligned on task boundaries to minimize off-topic output and rework.
  • Use Case: Development teams running multiple parallel coding agents on large, interconnected codebases could use this skill to ensure each agent had only the context it needed, cutting down on wasted compute and inconsistent outputs.

Quick Start

Use the /agent-composer skill for all parallel dispatch with context injection, as this deprecated skill has been merged into agent-composer Step 3-a and is no longer actively maintained.

Frequently Asked Questions about context-bridge-dispatch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce context passing overhead when running parallel coding agents?

Reduce parallel coding agent overhead by enforcing task boundaries and applying a coordination overhead budget to limit redundant context sharing, which prevents token waste and conflicting workstreams. Use the agent-composer skill for this functionality.

What is context injection for parallel AI coding agents?

Context injection automatically supplies relevant context cards to each agent, using a lightweight standard mode for two or fewer agents and a full Registry mode for three or more agents to avoid context bloat. This feature is now part of agent-composer.

How do I keep parallel coding agents focused on task boundaries?

Keep parallel coding agents focused by applying a Focus Mode that aligns agents to strict task boundaries, minimizing off-topic output and reducing the need for rework on large interconnected codebases. Agent-composer now handles this dispatch.

Can I use context-bridge-dispatch for large interconnected codebase workflows?

You can use context-bridge-dispatch for large interconnected codebase workflows, but it is deprecated. You should use the /agent-composer skill instead, which integrates this functionality into its Step 3-a for coordinated parallel agent execution.

What is the best way to coordinate multiple AI coding agents without wasting tokens?

The best way to coordinate multiple AI coding agents without wasting tokens is to use agent-composer, which provides context-aware dispatch, coordination overhead budgeting, and task boundary enforcement to prevent overlapping work and reduce wasted compute.

Why does context-bridge-dispatch no longer work for parallel agent coordination?

Context-bridge-dispatch no longer works for parallel agent coordination because it is deprecated and no longer actively maintained. Its core features have been merged into agent-composer Step 3-a for all parallel dispatch with context injection.