Workspace Protocol — Shared File-Based Agent Communication

Coordinate multi-agent workflows through a file-based shared workspace.

4|Updated Apr 28, 2026
One-click install
npx skills add https://github.com/vikisingh23/neuraforge-ai --skill workspace-protocol-shared-file-based-agent-communication
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Workspace Protocol — Shared File-Based Agent Communication
Source: https://github.com/vikisingh23/neuraforge-ai/tree/main/skills/workspace-protocol
Command: npx skills add https://github.com/vikisingh23/neuraforge-ai --skill workspace-protocol-shared-file-based-agent-communication

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrating multiple AI agents and tools often requires ad-hoc prompts and fragile handoffs. The Workspace Protocol provides a structured, file-based coordination model that makes the filesystem the single source of truth for a multi-agent workflow, reducing confusion and drift.

Core Features & Use Cases

  • Standardized directory layout for feature work: .kiro/workspace/{feature-name}/ with STATUS.md and per-stage outputs.
  • Deterministic handoffs between sub-agents via stage-specific files and folders (01-brs.md, 02-review.md, 03-arch-plan.md, 04-tests, 05-implementation, 06-code-review.md, 07-summary.md).
  • Supports parallel reviews and status tracking, enabling clear progress across complex pipelines and hand-off reporting.

Quick Start

Initialize a workspace under .kiro/workspace/your-feature and start populating STATUS.md and the stage directories to begin coordinating your multi-agent pipeline.

Frequently Asked Questions about Workspace Protocol — Shared File-Based Agent Communication

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

FAQPage Schema
How do I coordinate multi-agent workflows without ad-hoc prompts?

Multi-agent workflows can be coordinated using a file-based shared workspace that turns the filesystem into a deterministic coordination bus, replacing fragile handoffs with a fixed directory structure and STATUS.md-driven progress model for auditability.

What is a file-based shared workspace for AI pipeline orchestration?

A file-based shared workspace is a structured coordination model where the filesystem serves as the single source of truth for multi-agent orchestration, enforcing a fixed directory layout with stage-specific files for deterministic handoffs across BRS, architecture, implementation, and code review.

How do I set up a shared filesystem for multi-agent handoffs?

Initialize a workspace under .kiro/workspace/{feature-name}/ and populate STATUS.md alongside per-stage output directories like 01-brs.md and 05-implementation to begin coordinating deterministic multi-agent handoffs through the filesystem.

Does file-based workspace protocol support parallel reviews in a pipeline?

Yes, the workspace protocol supports parallel reviews and status tracking by utilizing the shared filesystem, allowing multiple agents to read and write only their designated stage-specific inputs and outputs while maintaining clear progress across complex pipelines.

When should I use a filesystem coordination bus for multi-agent pipelines?

Use a filesystem coordination bus when orchestrating complex multi-agent pipelines that require deterministic handoffs, auditability, and a single source of truth to prevent confusion and drift across stages like architecture planning, tests, and code review.