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prompt-design

Generate consolidated prompts that orchestrate multiple skills into ordered execution plans.

Updated Sep 14, 2026
Search Tags:#prompt engineering#llm#agent workflow#prompt design#skill orchestration#context pack#system instructions
One-click install
npx skills add https://github.com/Lawrence908/chiron --skill prompt-design-lawrence908
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-design
Source: https://github.com/Lawrence908/chiron/tree/main/plugins/meta/skills/prompt-design
Command: npx skills add https://github.com/Lawrence908/chiron --skill prompt-design-lawrence908

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Combining multiple skills into one coherent workflow often produces bloated, contradictory, or unstructured prompts that lead to unreliable agent behavior. This Skill merges skill workflows into a single deterministic prompt with clear ordering and verification steps. ## Core Features & Use Cases - Skill Orchestration: Extracts Purpose, Workflow, and Constraints from multiple skills and merges them into one unified execution plan. - Structured Prompt Generation: Produces prompts with task summary, constraints, ordered process, and output format sections. - Built-in Verification: Adds a verification step to check outputs for errors, omissions, and contradictions. - Use Case: Combine a Homelab Change Plan skill, a Proxmox Admin skill, and a Docker Compose Editing skill into one migration-plan prompt with an ordered process and guardrails. ## Quick Start Combine the Homelab Change Plan, Proxmox Admin, and Docker Compose Editing skills into a single prompt that produces a full migration plan with verification steps.

Frequently Asked Questions about prompt-design

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

FAQPage Schema
How do I combine multiple AI skills into one prompt?▼

Identify the required skills, extract their Purpose, Workflow, and Constraints, then merge overlapping workflows into one ordered execution plan. Structure the final prompt with a task summary, constraints, ordered process, and output format.

How to write system instructions for AI agents?▼

Define the objective, list the skills the agent should use, and specify constraints like tool limits and context window size. Keep instructions short, specific, and operational, and add a verification step to check for errors and contradictions.

What makes a multi-skill prompt fail or produce inconsistent results?▼

Prompts fail when they are overlong, contain vague or open-ended goals, include contradicting directions, or dump skills without structure. Merging overlapping workflows and enforcing an ordered process prevents these issues.

When should I not use a consolidated multi-skill prompt?▼

Avoid consolidation when a task only needs one skill or when merging would exceed the context window. In those cases, run skills sequentially with separate focused prompts instead of one large orchestration prompt.

Can prompt orchestration work for infrastructure and ML tasks?▼

Yes, the workflow supports Homelab, Django, ML, and infrastructure tasks. You provide the objective, the relevant skills, and constraints, and it produces an ordered plan with verification instructions tailored to that domain.

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