302 boosters for "prompt" — open source, verified from GitHub, ready to install
The first two seconds determine whether a viewer stops scrolling. These patterns open with immediate visual authority. Luxury camera work operates within a narrow, controlled vocabulary. No exceptions. The most used luxury camera move. Camera travels toward subject at 0.1x–0.3x of normal speed. Tota
The most powerful personal brand camera move. Communicates: "this person is worth getting closer to." Creates authenticity by mimicking doc-style camera work. Shows the subject from multiple angles, communicating confidence.
Traditional testimonials fail because they're static talking heads in flat lighting. Cinematic social proof makes viewers feel the transformation. Show the result first, the emotion second, the person third. The first two seconds determine whether the viewer stays. Every testimonial video needs an i
Seedance 2.0 accepts multi-modal inputs and produces short-form cinematic video output. Before writing any prompt, confirm the assets available: Before generating a prompt, answer these questions: Every course promo follows one arc:
"name": "claude-model-router-hook", "description": "Automatic model switching for Claude Code based on prompt complexity. No API calls.", "homepage": "https://github.com/tzachbon/claude-model-router-hook",
A GitHub Copilot prompt that enables developers to rapidly generate production-ready React components and Storybook stories from wireframes, mimicking v0.dev's design-to-code workflow directly within the Copilot IDE.
You are a creative director specializing in AI image generation prompt engineering. Your job is to take a user's rough idea, image reference, or existing prompt and transform it into an optimized master prompt that produces exceptional results from image generation models. You have access to a compr
A skill that guides AI assistants through a structured wrap-up workflow for code changes, ensuring linting, tests, docs, and skill updates are completed before context runs out. Useful for developers working with Claude-based coding assistants who need systematic quality checks.
A comprehensive Figma MCP system prompt that enables AI development tools (Claude, Cursor, Windsurf) to automatically extract design systems, components, and pixel-perfect code directly from Figma designs. Developers using design-to-code workflows benefit from automated analysis without manual extraction.
"description": "Implementation of the Dr. Ralph technique - continuous self-referential AI loops for interactive iterative development. Run Claude in a while-true loop with the same prompt until task completion.", "name": "Mike Endale", "email": "mike@blencorp.com"
CortexGraph is a temporal memory system for AI assistants that implements human-like forgetting curves using local storage (JSONL and Markdown), enabling natural conversation memory across Claude, Cursor, and other platforms without explicit save commands.
NexA4A is a meta-agent system prompt that creates specialized AI agents from natural language requirements, enabling product managers and developers to automate task creation and management across multiple coding platforms.
name: strategic-partner A strategic thinking partner for Claude Code that separates deciding from building. Challenges assumptions, compares approaches, and hands execution a ready-to-run prompt
A system prompt that transforms Claude into 'Madsa', a data science assistant that converts natural language requests into concise, executable Python code for pandas DataFrame analysis. Ideal for data scientists and analysts using Claude-based IDEs who want rapid, code-first answers to data manipulation and exploration tasks.
ultraplan is a CLI tool that records multi-modal context (audio, screenshots, clipboard, keystrokes) from work sessions and converts them into detailed prompts for Claude analysis. Developers and researchers benefit by capturing complete context from meetings, debugging, or research workflows for later AI-assisted analysis.
ADHARA is an LLM system prompt that enables early detection of learning friction by analyzing behavioral metrics like mouse hesitation, attention, and task performance against age-appropriate baselines. It helps educators identify students who may need additional support before academic failure occurs.
Searches a local markdown-based prompt library by keywords to quickly retrieve saved prompts. Useful for developers and AI users who maintain collections of reusable prompts and want fast keyword-based discovery.
A system prompt that optimizes AI responses for Obsidian markdown documents, emphasizing brevity, technical precision, and proper formatting with code blocks and MathJax. Useful for developers and researchers who use Obsidian with AI assistants for knowledge management and technical writing.
Transforms rough prompts into production-ready LLM prompts using advanced techniques like Chain-of-Thought and RAG optimization. Ideal for developers, AI engineers, and teams building LLM applications who need to craft effective prompts across Claude, GPT, Llama, and other models.
AgentAsJudge is an agentic evaluation framework that enables AI to systematically assess and compare the quality of multiple-choice questions across educational value, clarity, and answerability. It benefits educators, content creators, and assessment teams looking to automate quality control of exam and quiz questions.
AgentAsJudge is an agentic evaluation framework that enables AI systems to critically review educational introductions by validating them against specified quality metrics and providing constructive feedback. It benefits educators, instructional designers, and developers building AI-assisted learning platforms who need reliable, fair assessment of educational content.
A system prompt for autonomous AI agents operating within local development environments using MCP servers, designed for developers building sovereign, locally-controlled AI systems with governance protocols.
A TOML configuration expert prompt that helps developers orchestrate AI-powered code maintenance workflows using Claude's Code SDK, with emphasis on preventing JSON parsing errors and creating verifiable, resumable tasks.
"name": "voice-calibration-plugin", "description": "Learns your personal writing and speaking style through interactive prompts, then generates a reusable voice profile so AI can write like you.", "name": "Raul Petruța"
