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compose-prompt

Convert discussion outcomes into structured agent prompts with required sections.

Updated Aug 14, 2025
Search Tags:#prompt engineering#requirements#agent workflow#conversation#templating#compose
One-click install
npx skills add https://github.com/kaikojima05/ai-agent-rules --skill compose-prompt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: compose-prompt
Source: https://github.com/kaikojima05/ai-agent-rules/tree/main/skills/compose-prompt
Command: npx skills add https://github.com/kaikojima05/ai-agent-rules --skill compose-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The compose-prompt skill solves the problem of translating ongoing discussions and changing requirements into a consistent, actionable prompt that an agent can follow.

Core Features & Use Cases

  • Interactive prompt drafting: Builds a prompt by iterating with the user to clarify objectives and requirements.
  • Optional argument-driven scope: Accepts an argument to focus the prompt construction on a provided overview.
  • Required target integration: Ensures the agent updates @.[agent_name]/prompt/.prompt.md by converting the gathered requirements into the required sections and guidance.

Quick Start

Call /compose-prompt with an outline of the changes you want, and the agent will draft and structure the prompt content for @.[agent_name]/prompt/.prompt.md for your review.

Frequently Asked Questions about compose-prompt

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

FAQPage Schema
How do I turn conversation outcomes into a structured agent prompt?▼

To turn conversation outcomes into a structured agent prompt, use an interactive drafting process that captures evolving requirements and formats them into required sections like target file, reference rules, and completion conditions for prompt files.

What is the best way to draft prompts when requirements evolve during collaboration?▼

Drafting prompts when requirements evolve involves iterating with the user to clarify objectives, then translating the gathered discussion points into actionable guidance that updates the target agent prompt file directly.

How do I create agent prompts from an overview or outline?▼

To create agent prompts from an overview, provide an argument to focus the prompt construction on your provided summary, allowing the agent to structure the content into the required sections for the target prompt file.

Does prompt templating require updating specific agent files?▼

Yes, prompt templating requires updating the target @.[agent_name]/prompt/.prompt.md file, ensuring the generated prompt includes mandatory sections for target files, reference rules, and completion conditions.

What sections are required when generating agent prompt files?▼

Generating agent prompt files requires including specific sections for 対象ファイル, 参照ルール, and 完了条件 to ensure the structured prompt provides complete actionable guidance for the agent workflow.

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