What is Prompt Architecting for Claude Code?

It is a specialized skill that analyzes or transforms unstructured prompts into highly effective, constrained instructions using proven architectural patterns and research-validated strategies.

What is the difference between OPTIMIZE and CONSULT modes?

OPTIMIZE mode generates a rewritten, production-ready prompt based on your input, while CONSULT mode provides an analytical assessment and strategic recommendations without modifying the original text.

Does this skill help reduce LLM hallucinations?

Yes. By providing cognitive anchors and structured pattern consistency, it reduces the ambiguity that often leads to LLM hallucinations and improves overall task thoroughness.

How does the complexity scoring work?

The skill evaluates tasks based on sequential steps, conditional branching, and user gates to recommend the appropriate level of structure, from natural language to full Execution Flow Control.

Can I use it to clean up existing documentation?

Absolutely. The skill is designed to identify verbosity and 'meta-discussion' in documentation, refactoring it into concise, actionable instructions that are easier for both humans and AI to follow.

Prompt Architecting

Name: Prompt Architecting
Author: bcasci

bybcasci

生産性とワークフロー

Optimizes and analyzes prompts using research-backed strategies to improve LLM accuracy and reduce output verbosity.

概要

Prompt Architecting is a sophisticated Claude Code skill designed to transform raw, unstructured instructions into high-performance prompts. By applying a research-validated complexity scoring system and selecting from over 15 distinct strategies, it identifies bloat, reduces hallucination risks, and ensures prompts are formatted for maximum cognitive clarity. Whether you are building autonomous agents, complex workflows, or simple documentation tasks, this skill provides the architectural framework necessary to ensure your AI instructions are concise, constrained, and structurally sound.

主な機能

Detection and removal of 'prompt bloat' and common instruction anti-patterns
Architecture-aware refactoring to align prompts with specific organizational standards
Research-validated complexity scoring to determine optimal prompt structure
Dual-mode functionality: OPTIMIZE for rewriting and CONSULT for deep analysis
Library of 15+ specialized strategies including Directive Hierarchy and EFC patterns
0 GitHub stars

ユースケース

Analyzing existing prompts to identify structural weaknesses or ambiguity
Refining complex multi-step workflows to prevent over-generation and token waste
Standardizing team-wide prompting patterns using specific architecture references

概要

主な機能

Detection and removal of 'prompt bloat' and common instruction anti-patterns
Architecture-aware refactoring to align prompts with specific organizational standards
Research-validated complexity scoring to determine optimal prompt structure
Dual-mode functionality: OPTIMIZE for rewriting and CONSULT for deep analysis
Library of 15+ specialized strategies including Directive Hierarchy and EFC patterns
0 GitHub stars

ユースケース

Analyzing existing prompts to identify structural weaknesses or ambiguity
Refining complex multi-step workflows to prevent over-generation and token waste
Standardizing team-wide prompting patterns using specific architecture references