prompts.chat

Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.

Installation

npx claude-plugins install @f/prompts.chat/prompts.chat

Contents

Folders: bin, scripts, src

Files: API.md, README.md, package-lock.json, package.json, tsconfig.json, tsup.config.ts

Documentation

A comprehensive developer toolkit for building, validating, and parsing AI prompts. Create structured prompts for chat models, image generators, video AI, and music generation with fluent, type-safe APIs.

Reason

Building effective AI prompts is challenging. Developers often struggle with:

• Inconsistent prompt structure — Different team members write prompts differently, leading to unpredictable AI responses
• No type safety — Typos and missing fields go unnoticed until runtime
• Repetitive boilerplate — Writing the same patterns over and over for common use cases
• Hard to maintain — Prompts scattered across codebases without standardization
• Multi-modal complexity — Each AI platform (chat, image, video, audio) has different requirements

prompts.chat solves these problems by providing a fluent, type-safe API that guides you through prompt construction with autocomplete, validation, and pre-built templates for common patterns.

Installation

npm install prompts.chat

CLI

Create a New Instance

Scaffold a new prompts.chat deployment with a single command:

npx prompts.chat new my-prompt-library

This will:

1. Clone a clean copy of the repository (removes .github, .claude, packages/, dev scripts)
2. Install dependencies
3. Launch the interactive setup wizard to configure branding, theme, auth, and features

Interactive Prompt Browser

Browse and search prompts from your terminal:

npx prompts.chat

Navigation:

• ↑/↓ or j/k — Navigate list
• Enter — Select prompt
• / — Search prompts
• n/p — Next/Previous page
• r — Run prompt (open in ChatGPT, Claude, etc.)
• c — Copy prompt (with variable filling)
• C — Copy raw prompt
• o — Open in browser
• b — Go back
• q — Quit

Quick Start

import { builder, chat, image, audio, variables, quality } from 'prompts.chat';

// Build structured text prompts
const prompt = builder()
  .role("Senior TypeScript Developer")
  .task("Review the following code for bugs and improvements")
  .constraints(["Be concise", "Focus on critical issues"])
  .variable("code", { required: true })
  .build();

// Build chat prompts with full control
const chatPrompt = chat()
  .role("expert code reviewer")
  .tone("professional")
  .expertise("TypeScript", "React", "Node.js")
  .task("Review code and provide actionable feedback")
  .stepByStep()
  .json()
  .build();

// Build image generation prompts
const imagePrompt = image()
  .subject("a cyberpunk samurai")
  .environment("neon-lit Tokyo streets")
  .shot("medium")
  .lens("35mm")
  .lightingType("rim")
  .medium("cinematic")
  .build();

// Build music generation prompts  
const musicPrompt = audio()
  .genre("electronic")
  .mood("energetic")
  .bpm(128)
  .instruments(["synthesizer", "drums", "bass"])
  .build();

// Normalize variable formats
const normalized = variables.normalize("Hello {{name}}, you are [ROLE]");
// → "Hello ${name}, you are ${role}"

// Check quality locally (no API needed)
const result = quality.check("Act as a developer...");
console.log(result.score); // 0.85

Modules

• Variables — Variable detection and normalization
• Similarity — Content deduplication
• Builder — Structured text prompts
• Chat Builder — Chat/conversational prompts
• Image Builder — Image generation prompts
• Video Builder — Video generation prompts
• Audio Builder — Music/audio generation prompts
• Quality — Prompt validation
• Parser — Multi-format parsing

🔧 Variables

Universal variable detection and normalization across different formats.

import { variables } from 'prompts.chat';

// Detect variables in any format
const detected = variables.detect("Hello {{name}}, welcome to [COMPANY]");
// → [{ name: "name", pattern: "double_curly" }, { name: "COMPANY", pattern: "single_bracket" }]

// Normalize all formats to ${var}
const normalized = variables.normalize("Hello {{name}}, you are [ROLE]");
// → "Hello ${name}, you are ${role}"

// Extract variables from ${var} format
const vars = variables.extractVariables("Hello ${name:World}");
// → [{ name: "name", defaultValue: "World" }]

// Compile template with values
const result = variables.compile("Hello ${name:World}", { name: "Developer" });
// → "Hello Developer"

// Get pattern descriptions
variables.getPatternDescription("double_bracket"); // → "[[...]]"

Supported Formats

…(truncated)

Source

View on GitHub