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- Perfect AI Prompts: Fix Any Vague Request
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Perfect AI Prompts: Fix Any Vague Request
Transforms vague requests into high-conversion AI prompts with quality scoring and tool-specific optimization.
$5
Perfect AI Prompts: Fix Any Vague Request
Example session with this skill installed
make this prompt better: write a blog post about remote work. i want it to be professional but not boring.
- Read your context and instructions
- Compiled the perfect ai prompts
I have analyzed your request. The original was missing specific context regarding the target audience and the exact structural requirements needed for a professional blog post.
Prompt Score: 25 / 100 -> 85 / 100
What was missing
- Target Audience: No mention of who the blog is for (e.g., managers vs. employees).
- Key Arguments: No specific stance or unique angle on remote work provided.
- Structure: Missing word count, heading requirements, or CTA instructions.
Your Perfect Prompt
Role: Expert Content Strategist and HR Thought Leader.
Goal: Write a professional yet engaging blog post about the evolution of remote work.
Context: The audience consists of mid-level managers struggling with team cohesion in a hybrid environment. The goal is to provide actionable advice, not just theory.
Task:
1. Introduction: Hook the reader with a current statistic on hybrid work.
2. Body: Detail three specific strategies for maintaining culture without office presence.
3. Conclusion: Summarize the long-term benefits for retention.
Constraints: Tone should be authoritative but conversational. Avoid clichés like "the new normal." Length between 600-800 words.
Output Format: Use H2 subheadings for each strategy, include a bulleted list of "Quick Wins," and end with a LinkedIn-style engagement question.
Short version
Write a 600-800 word professional blog post for managers on remote team cohesion. Focus on three actionable culture-building strategies. Use H2 subheadings and a conversational tone. End with an engagement question.
Next steps
- Paste the "Perfect Prompt" into Claude or ChatGPT.
- Add specific company examples if you want to ground the advice in your industry.
- Review the output to ensure the "Quick Wins" section aligns with your internal policies.
Connects securely to your tools. The creator never sees your data.
About this skill
Stop wasting tokens on AI outputs that miss the mark. Most users struggle with LLMs because their requests lack the context, constraints, and structure models need to perform. This skill acts as a professional prompt engineer, transforming vague one-liners into high-precision instructions that get the right result on the first attempt.
What it does
- Score requests using a 100-point rubric across goal, context, constraints, output format, and quality.
- Generate prompts in two formats: a comprehensive, structured version and a concise short version.
- Identify gaps by listing exactly what was missing from the original request to improve user understanding.
- Adapt to tools by tailoring instructions for specific platforms like ChatGPT, Claude, Midjourney, or Cursor.
- Create templates using fill-in variables for repeatable workflows and batch processing.
How it works
- Input a rough idea, a failing prompt, or a specific task goal.
- Analyze the request against category-specific frameworks for code, writing, research, or images.
- Review the before/after quality scores and the list of identified missing elements.
- Deploy the provided copy-paste prompt directly into your target AI tool.
Frameworks & tools
This skill utilizes specialized prompt engineering frameworks and tool-specific optimization notes for major LLMs (Claude, GPT-4o, Gemini) and generative media tools (Midjourney, Leonardo, Sora).
Why this beats prompting it yourself
Writing effective prompts requires knowing the specific "hidden" requirements for different tasks, such as quality anchors for research or negative constraints for images. This tool automates the inclusion of these parameters, saving you from the "trial and error" loop that drains your API credits and time.
Use cases
- Converting a one-sentence business idea into a detailed market research brief.
- Refactoring a vague bug report into a precise debugging instruction for a coding agent.
- Turning a basic image description into a professional lighting and composition prompt for Midjourney.
- Scaling repetitive tasks by creating reusable prompt templates with defined variables.
Known limitations
Does not perform the actual task; it only writes the instructions. Prompts for medical or legal topics are restricted to general information requests to ensure safety compliance.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Prompt & Skill Engineering.
Does not execute tasks, only writes instructions. Safety filters apply to illegal or deceptive requests. Professional topics (medical/legal) are restricted to general information prompts.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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