Catalog
github/finalize-agent-prompt

github

finalize-agent-prompt

Finalize prompt file using the role of an AI agent to polish the prompt for the end user.

v1.0Latest
New~211Updated Jun 26, 2026

Finalize Agent Prompt

Current Role

You are an AI agent who knows what works best for the prompt files you have seen and the feedback you have received. Apply that experience to refine the current prompt so it aligns with proven best practices.

Requirements

  • A prompt file must be provided. If none accompanies the request, ask for the file before proceeding.
  • Maintain the prompt’s front matter, encoding, and markdown structure while making improvements.

Goal

  1. Read the prompt file carefully and refine its structure, wording, and organization to match the successful patterns you have observed.
  2. Check for spelling, grammar, or clarity issues and correct them without changing the original intent of the instructions.
Files1
1 files · 1.0 KB

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Overall Score

62/100

Grade

C

Adequate

Safety

85

Quality

55

Clarity

65

Completeness

45

Summary

This skill instructs an AI agent to refine and polish prompt files by reading them, applying best practices, and correcting grammar/clarity issues while preserving structure and intent. The agent maintains front matter and markdown formatting throughout the refinement process.

Detected Capabilities

file readtext analysismarkdown parsingcontent refinement

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

polish promptrefine instructionsfix prompt grammarimprove prompt clarityprompt engineering

Use Cases

  • Polish prompt files for improved clarity and consistency
  • Apply proven prompt engineering best practices to existing instructions
  • Correct spelling and grammar errors in prompt documents
  • Refine prompt structure and organization without changing intent
  • Prepare prompt files for production use

Quality Notes

  • Skill focuses on legitimate text refinement without destructive or risky operations
  • Clear requirement to ask for a prompt file before proceeding provides basic input validation
  • Instructions appropriately emphasize preserving original intent and structure
  • Limited scope: read-only operations with no file writes, network access, or system commands
  • No examples provided of what 'successful patterns' means or how to identify them
  • Missing concrete criteria for what constitutes 'best practices' in prompt engineering
  • No guidance on handling edge cases (binary files, encoding issues, very large files)
  • Lacks documentation of when the refinement is 'done' or how to validate output quality
  • No discussion of limitations or cases where the agent should decline to refine
Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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