prompt__improving--rewriting

Transforms structured prompt-improvement analysis findings into rewritten prompts with output formats and examples.

1|1|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/erikhazzard/vasir --skill prompt-improving-rewriting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt__improving--rewriting
Source: https://github.com/erikhazzard/vasir/tree/main/.agents/skills/prompt__improving--rewriting
Command: npx skills add https://github.com/erikhazzard/vasir --skill prompt-improving-rewriting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rewrites a prompt based on a prior prompt__improving analysis. Takes the structured findings — intent mapping, failure criteria, domain research, and improvement opportunities — and produces a concrete rewritten prompt. Use after completing a prompt__improving analysis when ready to materialize the recommended improvements into an updated prompt.

Core Features & Use Cases

  • Transforms structured findings from analysis into a concrete rewritten prompt that preserves intent while embedding improvements.
  • Integrates concrete examples and explicit output format requirements to increase consistency and reproducibility.
  • Ideal for post-analysis workflows to materialize improvements across domains and problem spaces.

Quick Start

Run this skill after finishing a prompt__improving analysis to generate a concrete rewritten prompt that implements all insights.

Frequently Asked Questions about prompt__improving--rewriting

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

FAQPage Schema
How do I convert prompt improvement analysis into a rewritten prompt?

This Skill transforms structured prompt improvement analysis findings, such as intent mapping and failure criteria, into a concrete rewritten prompt that preserves intent while embedding identified improvements, concrete examples, and explicit output formats.

What is the best way to finalize prompts with edge-case handling and explicit output formats?

The best way to finalize prompts with edge-case handling is to apply a structured rewriting process that integrates concrete examples and explicit output format requirements, ensuring consistency and reproducibility across domains.

How do I materialize prompt improvement opportunities into an updated prompt?

You materialize prompt improvement opportunities by running this rewriting process after a prompt analysis, which integrates domain research and gap coverage into a finalized, concrete updated prompt.

Does this prompt rewriting process work without a prior prompt analysis?

No, this prompt rewriting process requires structured findings from a prior prompt improvement analysis, taking inputs like intent mapping, failure criteria, and domain research to produce the finalized rewritten prompt.

When do I need to rewrite a prompt using structured analysis findings?

You need to rewrite a prompt using structured analysis findings when you are ready to materialize recommended improvements, cover identified gaps, and specify output format expectations across different domains.