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A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention. No re-prompting your way to an answer you should have gotten on attempt one.

Works with: Claude, ChatGPT, Gemini, o1/o3, MiniMax, Cursor, Claude Code, GitHub Copilot, Windsurf, Bolt, v0, Lovable, Devin, Perplexity, Midjourney, DALL-E, Stable Diffusion, ComfyUI, Sora, Runway, ElevenLabs, Zapier, Make, and any AI tool you throw at it.


🚀 Installation

RECOMMENDED - Claude.ai (browser)

  1. Download this repo as a ZIP
  2. Go to claude.ai → Sidebar → Customize → Skills → Upload a Skill

OR Clone directly into Claude Code skills directory (Not Suggested)

mkdir -p ~/.claude/skills
git clone https://github.com/nidhinjs/prompt-master.git ~/.claude/skills/prompt-master

🔥 The Problem This Solves

Every AI user wastes credits the same way:

Write vague prompt → get wrong output → re-prompt → get closer → re-prompt again → finally get what you wanted on attempt 4

That's 3 wasted API calls. Multiply by 50 prompts a day. That's real money and real time gone.

The key insight

"The best prompt is not the longest. It's the one where every word is load-bearing."

Most "prompt generators" make prompts longer. This skill makes them sharper.


🎯 Usage

In Claude, you can invoke the skill naturally:

Write me a prompt for Cursor to refactor my auth module
I need a prompt for Claude Code to build a REST API — ask me what you need to know
Here's a bad prompt I wrote for GPT-4o, fix it: [paste prompt]
Generate a Midjourney prompt for a cyberpunk city at night
I have a reference image — help me write a prompt to edit just the head angle
Break this prompt down and adapt it for Stable Diffusion

Or explicitly invoke it:

/prompt-master

I want to ask Claude Code to build a todo app with React and Supabase

How It Works

Prompt Master runs a structured pipeline on every request:

  1. Detects the target tool — figures out which AI system the prompt is for and routes silently to the right approach
  2. Extracts 9 dimensions of intent — task, input, output, constraints, context, audience, memory, success criteria, examples
  3. Asks targeted clarifying questions — max 3 questions if critical info is missing, never more
  4. Routes to the right framework — picks and applies the correct prompt architecture automatically, never shown to the user
  5. Applies safe techniques only — role assignment, few-shot examples, XML structure, grounding anchors, memory block as needed
  6. Runs a token efficiency audit — strips every word that doesn't change the output
  7. Delivers the prompt — one clean copyable block with a one-line strategy note

Full Example #1: Generating Prompts for Images

User Input

Write me a midjourney prompt for a realistic samurai standing in the rain at night

Generated Prompt

lone samurai standing in heavy rain at night, traditional armor, 
neon reflections on wet cobblestone street, cinematic lighting, 
dramatic shadows, fog, ultra detailed, photorealistic, 
shallow depth of field --ar 16:9 --v 6 --style raw

negative: blurry, low quality, watermark, cartoon, anime, extra limbs

🎯 Target: Midjourney · ⚡ Framework: Visual Descriptor · 💰 Tokens: Light (~60) · 💡 Strategy: Comma-separated descriptors over prose, lighting and mood anchored early, aspect ratio and version locked, negative prompt prevents style drift.


Full Example #2: Generating Prompts for Coding

User Input

Build a claude code prompt for a landing page for a business 
dashboard that looks and feels exactly like notion - smooth animations, 
clean ui

Generated Prompt

Objective:
Build a fully detailed, production-quality static landing page for a 
business dashboard product. Design must match Notion's exact aesthetic — 
clean, minimal, typographic, with smooth animations throughout.

Stack:
Single HTML file with embedded CSS and vanilla JS. No frameworks. 
No external dependencies except Google Fonts (Inter).

Design Spec — match these exactly:
- Background: #ffffff
- Primary text: #1a1a1a
- Secondary text: #6b7280
- Border color: #e5e7eb
- Accent: #000000
- Font: Inter, weights 400 / 500 / 600 / 700
- Base spacing unit: 8px
- Border radius: 6px on cards, 4px on buttons
- Box shadows: 0 1px 3px rgba(0,0,0,0.08) only — no dramatic shadows
- Buttons: black fill, white text, no border radius above 6px

Sections to build in order:
1. Navbar — logo left, nav links center, "Get started free" CTA right. 
   Sticky on scroll, adds subtle border-bottom on scroll with JS.
2. Hero — large left-aligned heading (max 3 lines), subtext, two CTAs 
   (primary black + secondary outlined), hero screenshot mockup 
   placeholder (gray rounded card, 16:9 ratio).
3. Logos bar — "Trusted by teams at..." with 5 placeholder company names 
   in muted gray, centered.
4. Features — 3-column grid. Each card: icon (use emoji), bold title, 
   2-line description. Hover state: border darkens to #d1d5db, 
   translateY(-2px), transition 200ms ease.
5. How it works — alternating left/right layout, 3 steps. Number badge, 
   heading, description, placeholder screenshot card.
6. Pricing — 2 tiers side by side. Free tier: outlined card. Pro tier: 
   black background, white text, "Most popular" badge. List 4 features 
   each with checkmarks.
7. CTA banner — full-width dark section, centered heading, subtext, 
   single CTA button.
8. Footer — 4-column links, copyright line, minimal.

Animations — implement all of these:
- Fade-in + translateY(20px) to translateY(0) on scroll for every section, 
  using IntersectionObserver. Threshold 0.15. Duration 500ms ease-out.
- Staggered animation on feature cards: 100ms delay between each card.
- Navbar CTA button: background transitions from black to #333 on hover, 
  200ms ease.
- Hero CTA primary: same hover transition. Secondary: background goes from 
  transparent to #f3f4f6 on hover.
- Smooth scroll on all anchor links.
- Navbar border-bottom fades in on scroll past 60px using JS scroll event.

Constraints:
- Single file only — all CSS and JS embedded, no external files
- No dependencies except Google Fonts via CDN link tag
- All placeholder images replaced with styled gray div elements
- Must be pixel-perfect at 375px mobile and 1440px desktop
- No CSS frameworks, no utility classes from external sources

Done When:
- All 8 sections render correctly at both breakpoints
- All animations trigger on scroll without layout shift
- Navbar sticks and border appears on scroll
- Hover states work on all interactive elements
- Opens in browser with zero console errors

🎯 Target: Claude Code · 💰 Tokens: Medium (~380) · 💡 Strategy: Every vague Notion aesthetic cue translated into exact hex values and pixel specs — Claude Code cannot guess wrong. Animations defined with exact timing, method, and trigger so there is no interpretation needed.


🤝 Works With Any AI Tool

Prompt Master includes specific profiles for 20+ tools. For anything not on the list, it uses a Universal Fingerprint: 4 questions that let it write a quality prompt for any AI system it has never seen before.

Click to view all 30+ tool profiles

Tool Category What Prompt Master Fixes
Claude Reasoning LLM Removes padding, adds XML structure, specifies length
ChatGPT / GPT-5.x Reasoning LLM Output contract, verbosity control, completion criteria
Gemini 2.x Reasoning LLM Grounding anchors, citation rules, format locks
o3 / o4-mini Thinking LLM Short clean instructions only — never adds CoT (they think internally)
Ollama Local LLM Asks which model is loaded, includes system prompt for Modelfile
Qwen 2.5 / Qwen3 Open-weight LLM Chat template format, thinking vs non-thinking mode detection
Local models (Llama, Mistral) Open-weight LLM Shorter prompts, simpler structure, no complex nesting
DeepSeek-R1 Reasoning LLM Short clean instructions, strips CoT, suppresses thinking output if needed
MiniMax (M2.7 / M2.5) Reasoning LLM Temperature clamping, thinking tag control, structured output optimization
Claude Code Agentic AI Stop conditions, file scope, checkpoint output
Cursor / Windsurf IDE AI File path, function name, do-not-touch list, sequential prompt guidance
Cline (formerly Claude Dev) Agentic IDE File scope, approval gates, stop conditions, task breakdown
GitHub Copilot Autocomplete AI Exact function contract as docstring
Antigravity Agentic IDE Task-based prompting, Artifact verification, autonomy level
Bolt / v0 / Lovable Full-stack generator Stack spec, version, what NOT to scaffold
Figma Make Full-stack generator Component name references, frame-to-code scope
Google Stitch Full-stack generator Interface goal over implementation, Material Design 3 spec
Devin / SWE-agent Autonomous agent Starting state, target state, stop conditions
Manus Autonomous agent Task outcome focus, permission scope, memory anchors
OpenAI Computer Use Computer-use agent Screen state, allowed apps, stop before irreversible actions
Perplexity Computer Computer-use agent Artifact-first prompting, scoped permissions, verification steps
OpenClaw Computer-use agent Conversational precision, persistent memory, security constraints
Perplexity / SearchGPT Search AI Mode spec: search vs analyze vs compare
Midjourney Image AI Comma-separated descriptors, parameters, negative prompts
DALL-E 3 Image AI Prose description, text exclusion — edit vs generate detection
Stable Diffusion Image AI Weight syntax (word:1.3), CFG guidance, mandatory negative prompt
SeeDream Image AI Art style first, mood and atmosphere descriptors, negative prompt
ComfyUI Image AI Positive/negative node split, checkpoint-specific syntax
Meshy / Tripo / Rodin 3D AI Style + export format + polygon budget + rig requirements
BlenderGPT 3D AI Python script output, Blender version, scene context
Unity AI 3D / Game AI Game genre, platform target, mechanic description over code
Sora / Runway Video AI Camera movement, duration, cut style
LTX / Dream Machine / Kling Video AI Cinematic language, motion intensity, style reference
ElevenLabs Voice AI Emotion, pacing, emphasis, speech rate
Zapier / Make / n8n Workflow automation Trigger app + event, action app + field mapping

📐 12 Prompt Templates (Auto-Selected)

Prompt Master picks the right architecture for every task automatically and routes silently — you never see the framework name, just the prompt.

Click to view all 12 templates

Template Best For
RTF (Role, Task, Format) Fast one-shot tasks
CO-STAR (Context, Objective, Style, Tone, Audience, Response) Professional documents, reports, business writing
RISEN (Role, Instructions, Steps, End Goal, Narrowing) Complex multi-step projects
CRISPE (Capacity, Role, Insight, Statement, Personality, Experiment) Creative work, brand voice, iterative content
Chain of Thought Math, logic, debugging, multi-step analysis
Few-Shot Consistent structured output, pattern replication
File-Scope Template Cursor, Windsurf, Copilot — any code editing AI
ReAct + Stop Conditions Claude Code, Devin, AutoGPT — any autonomous agent
Visual Descriptor Midjourney, DALL-E, Stable Diffusion, Sora — generation
Reference Image Editing Editing an existing image — detects edit vs generate automatically
ComfyUI Node-based image workflows — positive/negative split per checkpoint
Prompt Decompiler Breaking down, adapting, simplifying, or splitting existing prompts

🛡️ 5 Safe Techniques, Applied When Needed

Prompt Master only uses techniques with reliable, bounded effects. Methods known to produce hallucinations or unpredictable output (Tree of Thought, Graph of Thought, Universal Self-Consistency, prompt chaining) are explicitly excluded.

Technique What It Does
Role Assignment Assigns a specific expert identity to calibrate depth and vocabulary
Few-Shot Examples Adds 2-5 examples when format consistency matters more than instructions
XML Structural Tags Wraps sections in XML for Claude-based tools that parse it reliably
Grounding Anchors Adds anti-hallucination rules for factual and citation tasks
Chain of Thought Forces step-by-step reasoning for logic tasks — never applied to o1/o3

🚫 35 Credit-Killing Patterns Detected (with Before/After Examples)

Task Patterns (7)

# Pattern Before After
1 Vague task verb "help me with my code" "Refactor getUserData() to use async/await and handle null returns"
2 Two tasks in one prompt "explain AND rewrite this function" Split: explain first, rewrite second
3 No success criteria "make it better" "Done when function passes existing unit tests and handles null input"
4 Over-permissive agent "do whatever it takes" Explicit allowed + forbidden actions list
5 Emotional task description "it's totally broken, fix everything" "Throws uncaught TypeError on line 43 when user is null"
6 Build-the-whole-thing "build my entire app" Break into Prompt 1 (scaffold), Prompt 2 (feature), Prompt 3 (polish)
7 Implicit reference "now add the other thing we discussed" Always restate the full task, never reference "the thing we discussed"

Context Patterns (6)

Context Patterns

# Pattern Before After
8 Assumed prior knowledge "continue where we left off" Include Memory Block with all prior decisions
9 No project context "write a cover letter" "PM role at B2B fintech, 2yr SWE experience, shipped 3 features as tech lead"
10 Forgotten stack New prompt contradicts prior tech choice Always include Memory Block
11 Hallucination invite "what do experts say about X?" "Cite only sources you are certain of. If uncertain, say so."
12 Undefined audience "write something for users" "Non-technical B2B buyers, no coding knowledge, decision-maker level"
13 No mention of prior failures (blank) "I already tried X and it failed because Y. Do not suggest X."

Format Patterns (6)

# Pattern Before After
14 Missing output format "explain this concept" "3 bullet points, each under 20 words, one-sentence summary at top"
15 Implicit length "write a summary" "Write a summary in exactly 3 sentences"
16 No role assignment (blank) "You are a senior backend engineer specializing in Node.js and PostgreSQL"
17 Vague aesthetic adjectives "make it look professional" "Monochrome palette, 16px base font, 24px line height, no decorative elements"
18 No negative prompts (image AI) "a portrait of a woman" Add: "no watermark, no blur, no extra fingers, no distortion, no text"
19 Prose prompt for Midjourney Full descriptive sentence "subject, style, mood, lighting, --ar 16:9 --v 6"

Scope Patterns (6)

# Pattern Before After
20 No scope boundary "fix my app" "Fix only login form validation in src/auth.js. Touch nothing else."
21 No stack constraints "build a React component" "React 18, TypeScript strict, no external libraries, Tailwind only"
22 No stop condition for agents "build the whole feature" Explicit stop conditions + checkpoint after each step
23 No file path for IDE AI "update the login function" "Update handleLogin() in src/pages/Login.tsx only"
24 Wrong template for tool GPT-style prose used in Cursor Adapted to File-Scope Template with path + scope
25 Pasting entire codebase Full repo context every prompt Scoped to relevant function and file only

Reasoning Patterns (5)

# Pattern Before After
26 No CoT for logic task "which approach is better?" "Think through both approaches step by step before recommending"
27 Adding CoT to reasoning models "think step by step" sent to o1/o3 Removed, reasoning models think internally and CoT instructions degrade output
28 No self-check on complex output (nothing) "Before finishing, verify output against the constraints above"
29 Expecting inter-session memory "you already know my project" Always re-provide the Memory Block
30 Contradicting prior decisions New prompt ignores earlier architecture Memory Block with all established facts

Agentic Patterns (5)

# Pattern Before After
31 No starting state "build me a REST API" "Empty Node.js project, Express installed, src/app.js exists"
32 No target state "add authentication" "/src/middleware/auth.js with JWT verify. POST /login and POST /register in /src/routes/auth.js"
33 Silent agent No progress output "After each step output: ✅ [what was completed]"
34 Unlocked filesystem No file restrictions "Only edit files inside src/. Do not touch package.json, .env, or any config file."
35 No human review trigger Agent decides everything "Stop and ask before: deleting any file, adding any dependency, or touching the database schema"

🧠 Memory Block System

When your conversation has history, Prompt Master pulls out prior decisions and prepends a Memory Block so the AI never contradicts earlier work:

## Memory (Carry Forward from Previous Context)
- Stack: React 18 + TypeScript + Supabase
- Auth uses JWT stored in httpOnly cookies, not localStorage
- Component naming convention: PascalCase, no default exports
- Design system: Tailwind only, no custom CSS files
- Architecture: no Redux, context API only

This is the single biggest fix for long sessions. Most wasted re-prompts come from the AI forgetting what you already decided.


ℹ️ Version History

  • 1.5.0 — Added more tool routing. New Agentic AI and 3D Model AI routing added. Fixed description to 189 chars. Removed token estimate from output. Added instruction layer and copywriting placeholders
  • 1.4.0 — Added reference image editing detection, ComfyUI support, Prompt Decompiler mode. Fixed trigger description to invoke correctly in Claude Code. 3 new templates added to references folder
  • 1.3.0 — Rebuilt around PAC2026 positional structure (30/55/15). Silent routing replaces user-facing framework selection. References folder introduced
  • 1.2.0 — Restructured for attention architecture. Removed fabrication-prone techniques (ToT, GoT, USC, prompt chaining). Templates and patterns moved to references folder
  • 1.1.0 — Expanded tool coverage, added memory block system, 35 credit killing patterns
  • 1.0.0 — Initial release

📄 License

MIT: See LICENSE for details.


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A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention

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