VerifiedPlugin
prompt-mini
A Claude Code plugin that stops vague prompts before they run. Detects your stack, asks targeted questions, and forges a structured prompt. Zero credits wasted.
1 skill1 hook29
@nidhinjsProductivity
Plugin
prompt-master
A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
Plugin Signal68/100Solid
maintained86
capable14
documented100
adopted88
Install
$ npx -y skills add nidhinjs/prompt-master --agent claude-code
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Maintenance
MIT
License
28d ago
Last commit
6mo ago
Created
Repo: nidhinjs/prompt-master
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README
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.
🚀 Installation
RECOMMENDED - Claude.ai (browser)
- Download this repo as a ZIP
- 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:
- Detects the target tool — figures out which AI system the prompt is for and routes silently to the right approach
- Extracts 9 dimensions of intent — task, input, output, constraints, context, audience, memory, success criteria, examples
- Asks targeted clarifying questions — max 3 questions if critical info is missing, never more
- Routes to the right framework — picks and applies the correct prompt architecture automatically, never shown to the user
- Applies safe techniques only — role assignment, few-shot examples, XML structure, grounding anchors, memory block as needed
- Checks model recency — verifies exact models and controls against official provider docs when the request depends on "latest"
- Runs a token efficiency audit — strips every word that doesn't change the output
- 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.
| 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 |
📐 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.
| 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 |
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More plugins by @nidhinjs.
View @nidhinjs’s profile@nidhinjsFAQ
prompt-master is a Claude Code plugin with 1 hand-picked skill for productivity work, indexed on Flowy. Install it with the command on its page. It includes prompt-master. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.
- What is prompt-master?
- A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
- How do I install prompt-master?
- Run these in Claude Code: npx -y skills add nidhinjs/prompt-master --agent claude-code. Then prompt normally.
- Does prompt-master auto-invoke its skills?
- Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.
- Is prompt-master free?
- Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.
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