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outcome-based-system-prompt

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Audit prompts to cut duct-tape complexity.

Product & Management#system prompt#guardrails#pipeline audit#prompt bloat#compensating complexity#outcome-based design#deletion testing
Authordrewid74
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It helps you find and remove unnecessary, compensating complexity in a system prompt or AI pipeline so your system stays robust while your instructions get shorter.

Core Features & Use Cases

  • Outcome-first prompt auditing: Classifies each system-prompt component or pipeline stage into outcome logic, constraints, procedural scaffolding, or compensating complexity.
  • Deletion testing guidance: Recommends KEEP, TEST FOR DELETION, or LIKELY DELETE and specifies experiments to run with a newer model.
  • Complexity diagnostics dashboard: Computes a compensating-complexity ratio and highlights the top deletion tests to prioritize.
  • Failure-mode driven cleanup: Starts by gathering the system’s purpose and known failure modes so recommendations are evidence-based.

Quick Start

Paste your system prompt and a description of your AI pipeline, then ask the auditor to identify which instructions are compensating complexity and suggest specific deletion tests to run with a newer model.

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: outcome-based-system-prompt
Download link: https://github.com/drewid74/ai_skills/archive/main.zip#outcome-based-system-prompt

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