structured-ai-communication
CommunityEnhance AI-to-AI communication.
Content & Communication#prompt engineering#clarity#ai communication#ai collaboration#guidelines#structured output
Authormsageha
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of inconsistent and unclear communication between AI agents, ensuring that commands, tasks, and results are understood precisely, leading to more reliable and efficient AI workflows.
Core Features & Use Cases
- Contextual Clarity: Ensures all necessary information (What, Where, Why, Boundary, Dependencies) is provided for AI tasks.
- SMART Acceptance Criteria: Defines clear, measurable, and achievable success metrics for tasks using a Given-When-Then format.
- Structured Referencing: Uses unique IDs for requirements and tasks to prevent ambiguity.
- Ambiguity Detection: Provides patterns to identify and resolve vague language in AI communications.
- Use Case: When assigning a task to a worker AI, this Skill ensures the prompt includes all necessary context, such as the specific file path, the exact function to modify, and the reason for the change, preventing misinterpretations and rework.
Quick Start
Use the structured-ai-communication skill to ensure your AI prompts include a clear 'What', 'Where', 'Why', 'Boundary', and 'Dependencies' section.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: structured-ai-communication Download link: https://github.com/msageha/maestro_v2/archive/main.zip#structured-ai-communication Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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