prompt-optimizer

Analyze draft prompts and generate optimized ECC-ready versions.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Leonard-Data/report-convertor --skill prompt-optimizer-leonard-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/Leonard-Data/report-convertor/tree/main/.agents/skills/prompt-optimizer
Command: npx skills add https://github.com/Leonard-Data/report-convertor --skill prompt-optimizer-leonard-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze draft prompts to identify intent and gaps, map ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself.

Core Features & Use Cases

  • Analyze a draft prompt and critique its clarity and coverage.
  • Map intent and scope to ECC components and suggest improvements for reliability and safety.
  • Output a complete, paste-ready optimized prompt along with a recommended workflow and model guidance.

Quick Start

Provide a draft prompt and I will optimize it for ECC according to the recommended workflow.

Frequently Asked Questions about prompt-optimizer

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

FAQPage Schema
How do I optimize a draft prompt for AI without running the task itself?

To optimize a draft prompt, the system analyzes intent, identifies coverage gaps, and applies a six-phase pipeline to output a ready-to-paste AI prompt and workflow. It acts in an advisory role only and never executes the actual task itself.

What is the best way to analyze an AI prompt for missing components before execution?

Analyzing an AI prompt involves mapping its scope to optimal ECC components like skills, commands, and hooks. The system critiques clarity and coverage to ensure the optimized prompt produces reliable and safe execution outputs.

How do I map workflow planning requirements to an existing prompt?

Mapping workflow planning requirements to an existing prompt involves a structured pipeline that extracts intent and suggests improvements. This generates a recommended workflow and model guidance alongside the optimized prompt.

Can I use prompt optimization for safe ECC component integration?

Yes, prompt optimization can be used for safe ECC component integration. It evaluates your draft prompt and suggests specific ECC components to improve reliability and safety without directly executing the user tasks.

Does the prompt analysis pipeline execute the generated workflow automatically?

No, the prompt analysis pipeline does not execute the generated workflow automatically. It strictly returns the analysis, the optimized prompt, and the recommended workflow, leaving the actual task execution to the user.