Skill

system-prompt-creator

Generates production-ready system prompts from user requirements, determining single or multi-prompt architecture and querying for missing information.

developer-tools

ai-ml

npx claudepluginhub buyoung/skills --plugin backend-skills

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Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/backend-skills:system-prompt-creator

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Context Preview

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Generates ready-to-use system prompts based on user requirements.

Supporting Files

references/data_format_selection.mdreferences/multi_prompt_architecture.mdreferences/prompt_structure.mdreferences/quality_criteria.md

SKILL.md

51 lines · ~520 tokens

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3 tools

tac

Stats

LanguagePython

Stars13

Forks3

MaintenanceExcellent

Last CommitMay 19, 2026

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System Prompt Creator

Generates ready-to-use system prompts based on user requirements.

Trigger

Create a system prompt

Input

- field: Purpose/Role description: The core task the AI agent will perform required: true - field: Domain Context description: Background information, terminology, and rules of the target domain required: true - field: Expected Output description: The form and format of the final deliverable required: true - field: Constraints description: Tone, safety, length, prohibitions, etc. required: false

Input Sufficiency Criteria

Purpose: Specific task description (cannot be just a category name)

Domain: Information that identifies the target area of work

Expected Output: Information to determine what the final deliverable is

Complexity Judgment: Information to decide whether a single or multi-prompt is needed

If insufficient: Early termination → Query specifically for missing items

Output

System prompt(s): 1 to N production-ready system prompts

Architecture description: Relationships and data flow between prompts in a multi-prompt setup

Core Knowledge

Prompt Structure: Structural building blocks and assembly order of a system prompt. See prompt_structure.md

Quality Criteria: Quality standards and checklists for production-ready prompts. See quality_criteria.md

Multi-Prompt Architecture: Design patterns for cases requiring N prompts. See multi_prompt_architecture.md

Data Format Selection: Accuracy comparison of different formats when including data in prompts. See data_format_selection.md