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deep-research-prompt-architect

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Research-driven design for agentic LLM skills.

Software Engineering#workflow#design#research#prompt-design#prompt-architect#agentic-llm
AuthorGyroZepelix
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This guidance provides an interactive workflow to design or refine skills and commands for agentic coding LLMs. It orchestrates thorough research, structured questioning, and frontmatter preparation, ensuring a deterministic handoff to the prompt-architect for final prompt generation.

Core Features & Use Cases

  • Interactive analysis that clarifies requirements, surfaces edge cases, and eliminates ambiguity before drafting prompts.
  • Two-workflow option design that presents distinct implementation paths, with a recommended option identified upfront.
  • Structured frontmatter planning and generation of a programmatic delegation payload to feed prompt-architect.
  • End-to-end delegation to prompt-architect in Programmatic mode to produce the final prompt, ready for integration.
  • Research-driven synthesis that can incorporate web-domain knowledge, codebase examination, and domain APIs as needed.

Quick Start

Describe your desired agentic-LMM skill in detail and I will guide you through the research workflow to draft a final prompt-ready specification.

Dependency Matrix

Required Modules

None required

Components

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: deep-research-prompt-architect
Download link: https://github.com/GyroZepelix/.dotfiles/archive/main.zip#deep-research-prompt-architect

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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