Generate modular markdown prompts for agent skills from user-supplied modules.
npx skills add https://github.com/marioluciofjr/skills --skill prompt-skills
Please help me install this Agent Skill. Skill: prompt-skills Source: https://github.com/marioluciofjr/skills/tree/main/prompt-skills Command: npx skills add https://github.com/marioluciofjr/skills --skill prompt-skills
This skill eliminates inconsistency and repetitive work when creating prompts for agent skills by producing a modular, standardized prompt structure that covers persona, context, task, format, and rules.
Ask the skill to generate a new agent prompt by providing the skill name, a short description, and whether you will include scripts, references, or assets.
High-intent search queries and answers about installing and using this skill.
To create standardized prompts for agent skills, you provide a persona, context, task, format, and rules. The skill uses these inputs to generate a strict markdown prompt block ensuring consistency across scenarios like code review or documentation generation.
Modular prompt engineering structures prompts into discrete sections like persona, context, and rules. This approach eliminates repetitive work and ensures agents follow consistent, parseable instructions across various automation and workflow tasks.
You generate a prompt template for a code reviewer agent by supplying the skill name, a short description, and any required scripts or references. The skill assembles these details into a standardized markdown block tailored for code review automation.
Yes, you can include optional scripts, references, and assets when generating prompt templates. The skill accepts these supplementary files during its guided collection process and integrates them into the final standardized prompt output.
The best way to structure context and rules in an AI prompt is using a modular format. This skill separates persona, context, task, format, and rules into distinct markdown sections, producing repeatable and parseable prompt blocks for agent training.
Agent prompts behave inconsistently across different workflows due to unstructured instructions. Generating modular prompts with standardized persona, context, and rules sections eliminates this variability and ensures repeatable agent behavior.
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