response-atomicity

Name: response-atomicity
Availability: InStock
Author: enduser123

Enforce phase-separated communication across planning, execution, and results phases.

Updated Apr 26, 2026

Search Tags:#multi-agent #workflow-orchestration #ai-communication #phase-transition #phase-separation #execution-guardrails

Ready to run

npx skills add https://github.com/EndUser123/cc-marketplace --skill response-atomicity

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: response-atomicity
Source: https://github.com/EndUser123/cc-marketplace/tree/main/plugins/cc-skills-meta/skills/response-atomicity
Command: npx skills add https://github.com/EndUser123/cc-marketplace --skill response-atomicity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that multi-instance AI workflows maintain strict phase separation between Planning, Execution, and Results, preventing leakage of planning reasoning into tool calls and improving reliability and auditability.

Core Features & Use Cases

Phase-separated communication: guarantees responses adhere to the Planning, Execution, and Results boundaries.
Guardrails for multi-agent coordination: prevents ambiguous handoffs and mixed content across instances.
Governance and auditability: aligns with orchestration tools to enable traceability and reproducibility across tasks.

Quick Start

Start with Planning Phase text only, then obtain explicit approval to proceed to Execution Phase for tool calls, and finish with a Results Phase summary.

Frequently Asked Questions about response-atomicity

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

FAQPage Schema

How do I enforce phase separation in multi-agent AI workflows?▼

Enforce phase separation in multi-agent AI workflows by applying strict rules that prevent mixing content types across Planning, Execution, and Results boundaries. This prevents planning reasoning from leaking into tool calls and improves reliability.

Why does planning reasoning leak into tool calls during multi-step AI execution?▼

Planning reasoning leaks into tool calls when multi-instance workflows lack strict phase-separated communication boundaries. Without execution guardrails, agents mix content types, causing ambiguous handoffs and reducing orchestration reliability.

What's the best way to start a phase-separated workflow with multiple AI instances?▼

Start a phase-separated workflow by providing Planning Phase text only, obtaining explicit approval to proceed to Execution Phase for tool calls, and finishing with a Results Phase summary to ensure traceability.

Can I use workflow orchestration guardrails for multi-agent governance and auditability?▼

Yes, you can use workflow orchestration guardrails for multi-agent governance and auditability. These guardrails align with orchestration tools to enable traceability and reproducibility across tasks by preventing ambiguous handoffs.

Does this approach work with existing workflow-orchestration tools?▼

Yes, enforcing phase-separated communication integrates with existing workflow-orchestration tools. It aligns with orchestration frameworks to guarantee strict phase separation rules and prevent mixed content across instances.

When do I need execution guardrails for AI communication?▼

You need execution guardrails for AI communication when managing multi-step tasks across multiple instances or orchestrators. They prevent mixed content types and ambiguous handoffs during phase transitions between planning and execution.