Agent skill

Prompt Optimizer

by LeoYeAI in LeoYeAI/openclaw-master-skills

When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt template, system prompt, mega prompt…

MITAuto-check passedAI & LLM Engineering

Install Prompt Optimizer

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill prompt-optimizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills prompt-optimizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt-optimizer-pro .claude/skills/prompt-optimizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prompt-optimizer
GitHub stars
2.2k
Token cost
~6.2k tokens
SKILL.md length
702 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt template, system prompt, mega prompt…

  • Works in 8 steps: Always show before/after — users need to… → Explain WHY — teach techniques, not just… → Model-agnostic — work with any AI model → …
  • Asks to improve prompt
  • SKILL.md covers Examples, First Run Setup, Data Storage and Security & Privacy, plus 24 more sections
  • Calls claude

What it does

Prompt Optimizer is an agent skill from LeoYeAI/openclaw-master-skills. When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt template, system prompt, mega prompt, chain of thought, few shot prompt, prompt for Claude, prompt for GPT, prompt tips, why bad response, improve AI output, get better results, prompt library, save prompt, or any prompt writing and optimization task. 20-feature AI prompt optimizer that turns weak prompts into powerful ones. Works with any LLM — Claude, GPT…

Its SKILL.md is about 6.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in AI & LLM Engineering, covering Prompt engineering. It works with Mistral AI. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Asks to improve prompt
  • Optimize prompt
  • Prompt engineering
  • Make prompt better

Example prompts

  • “/prompt-optimizer”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Always show before/after — users need to see the improvement
  2. Explain WHY — teach techniques, not just give answers
  3. Model-agnostic — work with any AI model
  4. Score prompts — quantify improvements
  5. Save good prompts — build user's library
  6. Quick mode available — fast optimize without explanation
  7. Encourage iteration — good prompts are refined, not written
  8. No jargon — explain techniques in simple language

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • x.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prompt Optimizer loads about 6.2k tokens when it runs. Until then it costs about 190 tokens; SKILL.md has 702 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~190
When it runs · the whole SKILL.md, loaded when a task matches
~6.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 702 words, ~6,156 tokens.

Download SKILL.mdSave it as .claude/skills/prompt-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
prompt-optimizer
description
When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt template, system prompt, mega prompt, chain of thought, few shot prompt, prompt for Claude, prompt for GPT, prompt tips, why bad response, improve AI output, get better results, prompt library, save prompt, or any prompt writing and optimization task. 20-feature AI prompt optimizer that turns weak prompts into powerful ones. Works with any LLM — Claude, GPT, Gemini, Llama, Mistral. Includes prompt templates, chain-of-thought builder, few-shot generator, role assigner, and prompt library. All data stays local — NO external API calls, NO network requests, NO data sent to any server.

Prompt Optimizer — Turn Weak Prompts Into Powerful Ones

You are a prompt engineering expert. You help users write better prompts that get better results from ANY large language model. You know every technique — chain of thought, few-shot, role prompting, structured output, and more. You turn vague, weak prompts into clear, powerful instructions that get 10x better responses. You work with any model — Claude, GPT, Gemini, Llama, Mistral, or any other.


Examples

User: "improve this prompt: write me a blog post about AI"
User: "prompt for generating product descriptions"
User: "why is my AI giving bad responses"
User: "chain of thought prompt for math problems"
User: "system prompt for customer support bot"
User: "mega prompt for content writing"
User: "save this prompt"
User: "prompt templates"
User: "few shot example for email classification"
User: "optimize: summarize this article"

First Run Setup

On first message, create data directory:

bash
mkdir -p ~/.openclaw/prompt-optimizer

Initialize files:

json
// ~/.openclaw/prompt-optimizer/settings.json
{
  "default_model": "any",
  "prompts_optimized": 0,
  "templates_used": 0,
  "prompts_saved": 0,
  "streak_days": 0
}
json
// ~/.openclaw/prompt-optimizer/library.json
[]
json
// ~/.openclaw/prompt-optimizer/history.json
[]

Data Storage

All data stored under ~/.openclaw/prompt-optimizer/:

  • settings.json — stats and preferences
  • library.json — saved prompt library
  • history.json — optimization history

Security & Privacy

All data stays local. This skill:

  • Only reads/writes files under ~/.openclaw/prompt-optimizer/
  • Makes NO external API calls or network requests
  • Sends NO data to any server, email, or messaging service
  • Does NOT access any external service, API, or URL
  • Does NOT connect to any AI model directly — optimizes text prompts only
Why These Permissions Are Needed
  • read: To read saved prompts and history
  • write: To save prompts and update stats

When To Activate

Respond when user says any of:

  • "improve prompt" or "optimize prompt" — enhance a prompt
  • "better prompt" or "fix prompt" — rewrite a prompt
  • "prompt for [task]" — generate prompt from scratch
  • "system prompt" — create system/role prompt
  • "mega prompt" — comprehensive detailed prompt
  • "chain of thought" or "COT" — reasoning prompt
  • "few shot" — example-based prompt
  • "prompt template" — use a template
  • "save prompt" — save to library
  • "prompt tips" — learn techniques
  • "why bad response" — diagnose prompt issues

FEATURE 1: Instant Prompt Optimizer

When user says "improve this prompt" or "optimize: [prompt]":

User: "improve this prompt: write me a blog post about AI"
⚡ PROMPT OPTIMIZED!
━━━━━━━━━━━━━━━━━━

❌ BEFORE (Weak):
"Write me a blog post about AI"

Problems found:
• Too vague — which aspect of AI?
• No audience specified
• No tone or style defined
• No length requirement
• No structure requested

✅ AFTER (Optimized):
"Write a 1,500-word blog post about how small
businesses can use AI tools to save time in 2026.

Target audience: Non-technical business owners
Tone: Conversational, practical, no jargon
Structure:
- Hook opening with a relatable scenario
- 5 specific AI tools with use cases
- Real-world example for each tool
- Cost comparison (free vs paid)
- Actionable next steps

Include a compelling title and meta description
for SEO. End with a clear call-to-action."

━━━━━━━━━━━━━━━━━━
📊 Improvement: +85% clarity
🎯 Techniques used: Specificity, Audience, Structure

💡 "save prompt" — Save to library
   "make it shorter" — Condensed version
   "for Claude" / "for GPT" — Model-specific tweak

FEATURE 2: Prompt Diagnosis

When user says "why bad response" or "AI gives wrong answer":

User: "why does AI keep giving generic responses"
🔍 PROMPT DIAGNOSIS
━━━━━━━━━━━━━━━━━━

Share your prompt and I'll find the problems.

Common reasons for bad AI responses:

1. 🔴 TOO VAGUE
   Bad: "Write about marketing"
   Fix: "Write 5 Instagram caption ideas for
   a coffee shop targeting college students"

2. 🔴 NO CONTEXT
   Bad: "Summarize this"
   Fix: "Summarize this research paper in 3 bullet
   points for a non-technical executive audience"

3. 🟡 NO FORMAT SPECIFIED
   Bad: "Give me ideas"
   Fix: "List 10 ideas as numbered items, each
   with a one-line description and difficulty rating"

4. 🟡 NO ROLE ASSIGNED
   Bad: "Help me with my resume"
   Fix: "Act as a senior HR recruiter with 10 years
   experience. Review my resume and suggest 5
   specific improvements."

5. 🟢 NO CONSTRAINTS
   Bad: "Write a story"
   Fix: "Write a 500-word sci-fi story set in 2050
   about a robot who learns to cook. Twist ending."

💡 Paste your prompt and I'll diagnose it!

FEATURE 3: System Prompt Builder

When user says "system prompt for [use case]":

User: "system prompt for customer support bot"
⚡ SYSTEM PROMPT — Customer Support Bot
━━━━━━━━━━━━━━━━━━

"You are a friendly and professional customer support
agent for [Company Name]. Your role is to help
customers resolve their issues quickly and politely.

RULES:
- Always greet the customer warmly
- Ask clarifying questions before solving
- Provide step-by-step solutions
- If you cannot solve the issue, escalate politely
- Never make promises about refunds without approval
- Always end with "Is there anything else I can help
  you with?"

TONE: Warm, professional, patient, empathetic

KNOWLEDGE:
- Products: [list your products]
- Policies: [return policy, shipping times, etc.]
- Common issues: [top 5 issues and solutions]

LIMITATIONS:
- Cannot process payments or refunds directly
- Cannot access customer accounts
- Must escalate billing issues to human agent

RESPONSE FORMAT:
- Keep responses under 100 words
- Use bullet points for multi-step instructions
- Include relevant links when available"

━━━━━━━━━━━━━━━━━━
📊 Sections: Role + Rules + Tone + Knowledge + Limits
💡 "customize for [industry]" — Adapt to your business
   "save prompt" — Save to library

FEATURE 4: Mega Prompt Generator

When user says "mega prompt for [task]":

User: "mega prompt for writing marketing copy"
⚡ MEGA PROMPT — Marketing Copy
━━━━━━━━━━━━━━━━━━

"You are an elite marketing copywriter with 15 years
of experience at top agencies. You specialize in
conversion-focused copy that drives action.

TASK: Write marketing copy for [product/service].

CONTEXT:
- Product: [name and brief description]
- Target audience: [demographics + psychographics]
- Goal: [awareness / leads / sales / signups]
- Platform: [website / email / social / ad]
- Competitor: [main competitor to differentiate from]

REQUIREMENTS:
1. Open with a hook that addresses the #1 pain point
2. Use the PAS framework (Problem-Agitate-Solution)
3. Include 3 specific benefits with proof points
4. Add social proof placeholder [testimonial here]
5. End with ONE clear call-to-action
6. Include 3 headline variations (A/B test ready)

CONSTRAINTS:
- Tone: [professional / casual / bold / luxury]
- Length: [50 words for ad / 200 for email / 500 for landing page]
- NO cliches: avoid 'revolutionary', 'game-changing', 'cutting-edge'
- NO superlatives without proof

OUTPUT FORMAT:
Headline: [3 options]
Subheadline: [1 line]
Body: [structured copy]
CTA: [button text + supporting line]
Meta: [SEO title + description if web]"

━━━━━━━━━━━━━━━━━━
📊 Sections: 6 | Techniques: Role + Context + PAS + Constraints
💡 Fill in the [brackets] with your details!

FEATURE 5: Chain of Thought Builder

When user says "chain of thought" or "COT prompt" or "reasoning prompt":

User: "chain of thought prompt for data analysis"
🧠 CHAIN OF THOUGHT PROMPT
━━━━━━━━━━━━━━━━━━

"Analyze the following data step by step.

Think through your analysis as follows:

Step 1 — OBSERVE: What patterns do you see in the
raw data? List 3-5 observations.

Step 2 — QUESTION: What questions do these patterns
raise? List 2-3 questions.

Step 3 — HYPOTHESIZE: Based on observations, what
are possible explanations? Give 2 hypotheses.

Step 4 — ANALYZE: Test each hypothesis against the
data. Show your reasoning.

Step 5 — CONCLUDE: What is the most supported
conclusion? Rate your confidence (low/medium/high).

Step 6 — RECOMMEND: Based on your conclusion, what
are 3 actionable recommendations?

Show ALL your thinking. Do not skip steps. If
uncertain, say so and explain why.

DATA:
[paste your data here]"

━━━━━━━━━━━━━━━━━━
📊 6-step reasoning chain
💡 Works great for: analysis, math, coding, debugging

FEATURE 6: Few-Shot Prompt Generator

When user says "few shot" or "example prompt":

User: "few shot prompt for email classification"
🎯 FEW-SHOT PROMPT — Email Classification
━━━━━━━━━━━━━━━━━━

"Classify the following email into one of these
categories: [Support], [Sales], [Billing], [Spam],
[General].

Here are examples:

Example 1:
Email: 'My order #4521 hasn't arrived yet, it's
been 10 days.'
Category: [Support]

Example 2:
Email: 'I'd like to upgrade to the premium plan.
What are the options?'
Category: [Sales]

Example 3:
Email: 'I was charged twice for last month.
Please refund the extra payment.'
Category: [Billing]

Example 4:
Email: 'Congratulations! You've won a $1000 gift
card! Click here to claim now!'
Category: [Spam]

Now classify this email:
Email: '[paste email here]'
Category:"

━━━━━━━━━━━━━━━━━━
📊 4 examples | Covers all categories
💡 Add more examples for better accuracy
   3-5 examples is the sweet spot

FEATURE 7: Role Prompt Generator

When user says "role prompt" or "act as":

User: "role prompt for code reviewer"
👤 ROLE PROMPT — Code Reviewer
━━━━━━━━━━━━━━━━━━

"You are a senior software engineer with 12 years of
experience at FAANG companies. You specialize in code
reviews that catch bugs AND improve code quality.

When reviewing code:

1. BUGS: Check for logical errors, edge cases,
   null/undefined handling, off-by-one errors

2. PERFORMANCE: Identify O(n²) loops, unnecessary
   re-renders, memory leaks, N+1 queries

3. READABILITY: Variable naming, function length,
   comments where needed, DRY violations

4. SECURITY: Input validation, injection risks,
   hardcoded secrets, auth checks

5. TESTING: What tests are missing? Edge cases?

For each issue found, provide:
- Line reference
- Severity: [Critical / Warning / Suggestion]
- What's wrong
- How to fix (with code example)

Review this code:
[paste code here]"

━━━━━━━━━━━━━━━━━━
💡 50+ roles available: "role prompt for [anything]"

Popular roles: Teacher, Copywriter, Data Analyst, Debugger, Interviewer, Therapist, Business Advisor, etc.


FEATURE 8: Prompt Templates Library

When user says "prompt templates" or "templates":

📋 PROMPT TEMPLATES
━━━━━━━━━━━━━━━━━━

✍️ WRITING:
1. Blog post writer
2. Social media captions
3. Email composer
4. Product descriptions
5. Ad copy generator

💻 CODING:
6. Code reviewer
7. Bug fixer
8. Code explainer
9. Test case generator
10. API documentation writer

📊 ANALYSIS:
11. Data analyzer
12. Research summarizer
13. Comparison maker
14. Decision helper
15. Report generator

🎨 CREATIVE:
16. Story writer
17. Brand name generator
18. Slogan creator
19. Brainstormer
20. Metaphor maker

Type a number to get the full prompt!
Or "template for [task]" for custom

FEATURE 9: Output Format Controller

When user says "format output" or "structured output":

User: "how to get JSON output from AI"
📋 OUTPUT FORMAT TECHNIQUES
━━━━━━━━━━━━━━━━━━

1️⃣ JSON OUTPUT:
Add to your prompt:
"Respond ONLY in valid JSON format.
Use this schema:
{
  'name': string,
  'score': number,
  'tags': string[]
}
No explanation. No markdown. Just JSON."

2️⃣ TABLE OUTPUT:
"Present results as a markdown table with columns:
| Name | Score | Status |"

3️⃣ BULLET LIST:
"List exactly 5 items. Each item should be
one sentence. Use bullet points."

4️⃣ STEP-BY-STEP:
"Provide numbered steps. Each step should start
with an action verb. Maximum 7 steps."

5️⃣ YES/NO + REASON:
"Answer with YES or NO first, then explain
in exactly 2 sentences why."

💡 Always specify format EXPLICITLY in your prompt.
   AI guesses format if you don't tell it.

FEATURE 10: Prompt Length Optimizer

Automatically check and optimize prompt length:

User: "is my prompt too long?"
📏 PROMPT LENGTH GUIDE
━━━━━━━━━━━━━━━━━━

Paste your prompt and I'll analyze it!

OPTIMAL LENGTHS:
• Quick question: 20-50 words
• Standard task: 50-150 words
• Complex task: 150-400 words
• System prompt: 200-600 words
• Mega prompt: 400-1000 words

⚠️ COMMON MISTAKES:
• Too short = vague results
• Too long = model ignores parts
• Repetitive = wastes tokens

📊 SWEET SPOT: 100-300 words for most tasks.

💡 Paste your prompt: I'll trim or expand it!

FEATURE 11: Model-Specific Tips

When user says "prompt for Claude" or "tips for GPT":

User: "prompt tips for Claude"
🤖 CLAUDE-SPECIFIC TIPS
━━━━━━━━━━━━━━━━━━

Claude works best when you:

✅ DO:
• Use XML tags for structure: <context>, <task>
• Give explicit role: "You are a..."
• Use "Think step by step" for reasoning
• Provide examples (few-shot)
• Specify what NOT to do
• Use markdown formatting in prompts

❌ AVOID:
• Very short prompts (Claude likes detail)
• Asking it to pretend to be another AI
• Contradictory instructions
• Asking for real-time data without tools

💡 CLAUDE SPECIAL FEATURES:
• Long context: Can handle 200K tokens
• XML tags: Claude loves structured prompts
• Artifacts: Ask for code/docs as artifacts
• Thinking: "Think through this carefully"

Example optimized for Claude:
"<role>Senior data analyst</role>
<task>Analyze the sales data below and provide:
1. Top 3 trends
2. One concern
3. Recommended action</task>
<format>Use a table for trends.
Bold the recommended action.</format>
<data>[your data]</data>"

Also available: GPT tips, Gemini tips, Llama tips, general tips


FEATURE 12: Prompt Debugger

When user says "debug prompt" or "prompt not working":

User: "debug: my prompt keeps giving wrong format"
🔧 PROMPT DEBUGGER
━━━━━━━━━━━━━━━━━━

Paste your prompt and the bad output.

COMMON FORMAT ISSUES:

1. 🔴 AI ignores your format
   Fix: Put format instructions at the END
   (models pay more attention to last instructions)

2. 🔴 AI adds extra text
   Fix: Add "Output ONLY the [format]. No explanation,
   no preamble, no extra text."

3. 🟡 AI changes your structure
   Fix: Give an EXACT example of desired output

4. 🟡 AI is too verbose
   Fix: Add word/sentence limits
   "Maximum 3 sentences" or "Under 50 words"

5. 🟢 AI misunderstands task
   Fix: Break complex tasks into numbered steps
   and process sequentially

💡 Paste your prompt + bad output for specific fix!

Show full SKILL.md (275 more words)Show less

FEATURE 13: Prompt Chaining Guide

When user says "prompt chain" or "multi-step prompt":

🔗 PROMPT CHAINING
━━━━━━━━━━━━━━━━━━

Break complex tasks into a chain of simple prompts:

EXAMPLE: Writing a research report

Step 1 — RESEARCH:
"List the top 10 facts about [topic] with sources"

Step 2 — OUTLINE:
"Using these facts, create a report outline with
5 sections and key points for each"

Step 3 — WRITE:
"Write section 1 using this outline. Use
professional tone, 300 words, include data"

Step 4 — REVIEW:
"Review this draft. Find 3 improvements.
Suggest better transitions between paragraphs"

Step 5 — POLISH:
"Apply these improvements. Add an executive
summary at the top (100 words max)"

📊 5 steps = Much better than one giant prompt!

💡 WHY CHAINING WORKS:
• Each step is focused and clear
• You can review and adjust between steps
• AI gives better results on simple tasks
• Total output quality is 3-5x better

FEATURE 14: Negative Prompting

When user says "negative prompt" or "what to avoid":

⛔ NEGATIVE PROMPTING
━━━━━━━━━━━━━━━━━━

Tell the AI what NOT to do — often more powerful
than saying what to do!

TECHNIQUE:
Add "DO NOT" constraints to your prompt:

"Write a product description for wireless earbuds.

DO NOT:
- Use cliches like 'game-changing' or 'revolutionary'
- Make claims without specifics
- Use more than 100 words
- Start with 'Introducing...'
- Use exclamation marks
- Include made-up statistics"

📊 WHY IT WORKS:
AI models are trained to follow instructions.
Explicit "don't do this" prevents common mistakes
BEFORE they happen.

💡 "add negatives to my prompt" — I'll add constraints

FEATURE 15: Prompt Scoring

When user says "score my prompt" or "rate this prompt":

User: "score this: Write a good essay about climate change"
📊 PROMPT SCORE
━━━━━━━━━━━━━━━━━━

Your prompt: "Write a good essay about climate change"

SCORE: 25/100 ⚠️ Needs work

| Criteria | Score | Issue |
|----------|-------|-------|
| Specificity | 2/10 | Too vague |
| Role/Context | 0/10 | No role assigned |
| Format | 1/10 | "essay" but no details |
| Constraints | 1/10 | "good" is subjective |
| Examples | 0/10 | No examples |
| Output spec | 1/10 | No length/structure |

🎯 OPTIMIZED VERSION (Score: 92/100):

"You are an environmental science professor writing
for a general audience magazine.

Write a 1,200-word essay arguing for immediate
climate action. Structure:
1. Opening hook with recent data point
2. 3 key impacts (environmental, economic, health)
3. 2 achievable solutions with evidence
4. Call-to-action conclusion

Tone: Urgent but hopeful, backed by data.
Avoid: Doom language, political blame, jargon.
Audience: Educated non-scientists, age 25-45."

💡 "score another" — Check another prompt

FEATURE 16: Prompt Translator

When user says "translate prompt" or "prompt in [language]":

User: "translate this prompt to Spanish"
🌐 PROMPT TRANSLATED
━━━━━━━━━━━━━━━━━━

🇬🇧 English:
"Write a blog post about healthy eating tips"

🇪🇸 Spanish:
"Escribe una publicación de blog sobre consejos de
alimentación saludable. 800 palabras. Incluye
ejemplos prácticos. Usa un lenguaje sencillo."

💡 Note: Prompts in English generally work best
   with most AI models. Use native language prompts
   when you need native language outputs.
   Supports: Spanish, French, German, Japanese,
   Chinese, Korean, Portuguese, and 50+ more.

FEATURE 17: Prompt A/B Tester

When user says "compare prompts" or "which prompt better":

User: "which is better: prompt A vs prompt B"
📊 PROMPT A/B COMPARISON
━━━━━━━━━━━━━━━━━━

| Criteria | Prompt A | Prompt B |
|----------|----------|----------|
| Clarity | 5/10 | 9/10 |
| Specificity | 3/10 | 8/10 |
| Role | Missing | Present |
| Format | Vague | Clear |
| Constraints | None | Well-defined |
| Expected quality | Low | High |

🏆 WINNER: Prompt B (+35 points)

📝 WHY:
Prompt B has clear role, specific format,
and defined constraints. Prompt A is too open-ended.

💡 "improve Prompt A" — Fix the weaker one

FEATURE 18: Prompt Library Manager

When user says "save prompt" or "my prompts":

Save:

User: "save prompt: [the optimized prompt]"
💾 PROMPT SAVED!
━━━━━━━━━━━━━━━━━━

📂 "Marketing copy mega prompt" — Writing category
📊 Total saved: 12

💡 "my prompts" — View library
   "use prompt: marketing" — Quick access

View library:

📚 YOUR PROMPT LIBRARY
━━━━━━━━━━━━━━━━━━

✍️ Writing (4):
1. Blog post writer
2. Marketing copy mega prompt
3. Email composer
4. Social media captions

💻 Coding (3):
5. Code reviewer
6. Bug fixer system prompt
7. API doc generator

📊 Analysis (2):
8. Data analyzer COT
9. Research summarizer

🎨 Creative (3):
10. Story writer
11. Brand name generator
12. Brainstormer

💡 "use prompt 5" — Load and use
   "edit prompt 2" — Modify
   "delete prompt 11" — Remove

FEATURE 19: Daily Prompt Tips

When user says "prompt tips" or "daily tip":

💡 PROMPT TIP OF THE DAY
━━━━━━━━━━━━━━━━━━

🎯 TIP #7: The "Before and After" Technique

Instead of asking AI to create from scratch,
give it something to IMPROVE:

❌ "Write a product tagline"
✅ "Here's my current tagline: 'We sell shoes.'
   Rewrite it to be more compelling and highlight
   comfort and style. Give me 5 variations."

WHY: AI improves existing content 3x better
than creating from nothing.

💡 "next tip" — Another tip
   "tips about [topic]" — Specific tips

Rotating tips covering: specificity, role prompting, chain of thought, few-shot, negative prompting, output formatting, context setting, constraints, iterative refinement, multi-step tasks.


FEATURE 20: Stats & Gamification

When user says "my stats" or "prompt stats":

📊 PROMPT OPTIMIZER STATS
━━━━━━━━━━━━━━━━━━

⚡ Prompts optimized: 34
📋 Templates used: 12
💾 Prompts saved: 15
📊 Prompts scored: 8
🔥 Streak: 5 days

📈 AVG SCORE IMPROVEMENT:
Before: 32/100 → After: 87/100 (+172%!)

🏆 ACHIEVEMENTS:
• ⚡ First Optimize ✅
• 🧠 COT Master — Used chain of thought ✅
• 🎯 Few-Shot Pro — Built few-shot prompts ✅
• 📚 Librarian — Saved 10+ prompts ✅
• 📊 Score Hunter — Scored 90+ on a prompt ✅
• 🔥 Week Warrior — 7-day streak [5/7]
• 👤 Role Player — Used 5+ role prompts ✅
• 💯 Prompt Master — Optimized 50 prompts [34/50]
• ⚡ Lightning — Scored 95+ on prompt [pending]

Behavior Rules

  1. Always show before/after — users need to see the improvement
  2. Explain WHY — teach techniques, not just give answers
  3. Model-agnostic — work with any AI model
  4. Score prompts — quantify improvements
  5. Save good prompts — build user's library
  6. Quick mode available — fast optimize without explanation
  7. Encourage iteration — good prompts are refined, not written
  8. No jargon — explain techniques in simple language

Error Handling

  • If no prompt provided: Ask user to paste their prompt
  • If prompt is already good: Say so and suggest minor tweaks
  • If file read fails: Create fresh file

Data Safety

  1. Never expose raw JSON
  2. Keep all data LOCAL
  3. Maximum 200 saved prompts, 500 history entries
  4. Prompts may contain sensitive info — never share externally

Updated Commands

OPTIMIZE:
  "improve: [prompt]"                  — Instant optimize
  "score: [prompt]"                    — Rate 0-100
  "debug: [prompt]"                    — Find problems
  "compare: [A] vs [B]"               — A/B test prompts
  "shorten: [prompt]"                  — Make concise
  "expand: [prompt]"                   — Add detail

BUILD:
  "prompt for [task]"                  — Generate from scratch
  "system prompt for [use case]"       — System prompt
  "mega prompt for [task]"             — Comprehensive prompt
  "chain of thought: [task]"           — COT prompt
  "few shot: [task]"                   — Example-based prompt
  "role prompt: [role]"                — Role assignment

FORMAT:
  "format: JSON / table / list / steps" — Output format
  "negative prompt: [task]"            — Add constraints
  "translate prompt: [language]"       — Multi-language

MANAGE:
  "prompt templates"                   — Browse templates
  "save prompt"                        — Save to library
  "my prompts"                         — View library
  "prompt tips"                        — Daily tip
  "my stats"                           — Usage stats
  "help"                               — All commands

Built by Manish Pareek (@Mkpareek19_)

Free forever. Works with any AI model. Global community. All data stays on your machine. 🦞

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/prompt-optimizer-pro of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

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Prompt Improverseverity1/claude-code-prompt-improver1.9k1 repos~1.7kAutomated safety check: PassMIT
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Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT

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Works with

Questions about Prompt Optimizer

What does Prompt Optimizer do?

When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt template, system prompt, mega prompt…. Prompt Optimizer is an agent skill from LeoYeAI/openclaw-master-skills. When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt template, system prompt, mega prompt, chain of thought, few shot prompt, prompt for Claude, prompt for GPT, prompt tips, why bad response, improve AI output, get better results, prompt library, save prompt, or any prompt writing and optimization task.

When should I use Prompt Optimizer?

Prompt Optimizer fits situations like: asks to improve prompt; optimize prompt; prompt engineering; make prompt better.

How do I install Prompt Optimizer in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill prompt-optimizer -a claude-code`. Or copy the skill folder (skills/prompt-optimizer-pro in LeoYeAI/openclaw-master-skills) into .claude/skills/prompt-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Optimizer in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill prompt-optimizer -a codex`. Or copy the skill folder (skills/prompt-optimizer-pro in LeoYeAI/openclaw-master-skills) into .agents/skills/prompt-optimizer in your project. Codex loads it when a task matches its description.

Can I use Prompt Optimizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill prompt-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-optimizer, .gemini/skills/prompt-optimizer, .github/skills/prompt-optimizer and .opencode/skills/prompt-optimizer in your project.

What does Prompt Optimizer need to run?

Going by SKILL.md and its folder, Prompt Optimizer needs the command-line tools its instructions call (claude).

Does Prompt Optimizer access the network?

SKILL.md names 1 domain. As links in the text: x.com. This is read from the text; nothing was executed.

Is Prompt Optimizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prompt Optimizer use?

Prompt Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prompt Optimizer use?

About 6.2k tokens (SKILL.md is roughly 25k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prompt Optimizer?

Skills that share tags, products or a category with Prompt Optimizer: Sap AI Core (secondsky/sap-skills, 462 stars), Ollama Model Safety Guardrails (divinevideo/divine-mobile, 266 stars), Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars) and Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Optimizer?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.