From prompt-tools
Transform prompts into optimized, production-ready versions. PROACTIVELY activate for: (1) prompt engineering, (2) prompt improvement, (3) making prompts more effective, (4) prompt debugging. Triggers: "optimize prompt", "improve prompt", "better prompt", "fix prompt", "prompt engineering", "refine prompt", "enhance prompt"
How this skill is triggered — by the user, by Claude, or both
Slash command
/prompt-tools:optimize-promptThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Transform prompts into production-ready versions using prompt engineering best practices.
Transform prompts into production-ready versions using prompt engineering best practices.
Use this skill when you need to:
Invoke the improve-prompt skill for analysis and optimization.
$ARGUMENTS
Evaluate for:
| Dimension | Check |
|---|---|
| Clarity | Is the task unambiguous? |
| Completeness | Is all necessary context provided? |
| Structure | Is it well-organized? |
| Constraints | Are boundaries defined? |
| Examples | Are few-shot examples provided if needed? |
| Output format | Is expected output specified? |
Common problems to address:
Structure:
<context>, <task>, <output>)Framing:
Output Control:
Produce the improved version with:
## Prompt Analysis
**Original prompt issues:**
1. [Issue 1 with specific example]
2. [Issue 2 with specific example]
**Improvements applied:**
1. [Improvement 1 and rationale]
2. [Improvement 2 and rationale]
---
## Optimized Prompt
[The improved prompt, ready to copy]
---
## Usage Notes
- **Best for**: [model/use case recommendations]
- **Expected output**: [description of what the prompt produces]
- **Variations**: [suggested modifications for different contexts]
npx claudepluginhub agentient/vibekit --plugin prompt-toolsTransforms rough prompts, task descriptions, or jobs into optimized AI instruction prompts using best practices. Activates on requests to improve, optimize, or refine prompts for Claude/GPT.
Rewrites user requests into detailed, structured prompts optimized for AI model consumption. Useful when users explicitly ask for prompt improvement or engineering.
Improves prompts via Anthropic best practices: queries official docs first, applies 4-step workflow with chain-of-thought, XML tags, and examples for accuracy and structure.