prompt-master

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, Codex, Grok, 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.

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🚀 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.

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🎯 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

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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. Checks model recency — verifies exact models and controls against official provider docs when the request depends on "latest"
7. Runs a token efficiency audit — strips every word that doesn't change the output
8. Delivers the prompt — one clean copyable block with a one-line strategy note

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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.

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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.

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🤝 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 5 / current Claude	Reasoning and agentic LLM	Model-aware effort, scope, XML structure, and delegation control
ChatGPT / GPT-5.6	Reasoning and agentic LLM	Sol/Terra/Luna routing, lean contracts, autonomy and effort control
Codex	Coding agent	File scope, approval boundaries, verification, bounded subagents
Grok 4.6	Reasoning and agentic LLM	Search grounding, reasoning effort, tools, caching, and stop conditions
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 (M3 / M2.7)	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

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📐 13 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 13 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
Auditable Reasoning	Checkable math, logic, debugging, and analysis without hidden reasoning requests
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
Current Claude Task Brief	Complex, multi-step, or agentic tasks on current Claude models

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🛡️ 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
Auditable Reasoning	Requests conclusions, assumptions, evidence, and verification without hidden reasoning

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🚫 37 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 audit contract for logic task	"which approach is better?"	Request the recommendation, assumptions, criteria, evidence, and checks
27	Requesting hidden reasoning	"show your chain of thought"	Ask for a concise rationale, evidence, and verification instead
28	Expecting inter-session memory	"you already know my project"	Re-provide the Memory Block in every new session
29	Contradicting prior work	New prompt ignores earlier architecture	Include established decisions in the Memory Block
30	No grounding rule for factual tasks	"summarize what experts say about X"	Require verifiable sources and explicit uncertainty

Agentic Patterns (7)

#	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"
36	Vague first turn for an agentic model	"fix the auth bug" with no scope, files, or criteria	Front-load outcome, context, scope, boundaries, and acceptance criteria
37	Context rot on long sessions	Repeated corrections leave stale assumptions in context	Start fresh for unrelated work or compact around current decisions and state

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🧠 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.

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ℹ️ Version History

• 1.8.0 — Current-model refresh. Added Claude Fable 5, Opus 5, Sonnet 5, GPT-5.6 Sol/Terra/Luna, Codex, and Grok 4.6 routing. Replaced hidden chain-of-thought requests with auditable reasoning and generalized the Claude task brief for current adaptive-thinking models.
• 1.7.0 — Opus 4.8 compatibility. Made Claude 4.x routing version-aware: durable advice generalized across 4.6/4.7/4.8, added Opus 4.8 (current default) profile, kept Opus 4.7 labeled. De-hardcoded the effort-level note (now harness-managed). Template M and pattern 36 cover 4.7 and 4.8. Fixed a stray fragment in patterns.md.
• 1.6.0 — Opus 4.7 update. Added Template M (Opus 4.7 Task Brief). Updated Claude and Claude Code routing for literalism, adaptive thinking, xhigh effort, and session hygiene. Added patterns 36–37.
• 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

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📄 License

MIT: See LICENSE for details.

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⭐ Star History

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