314 boosters for "prompt" — open source, verified from GitHub, ready to install
A skill booster that generates professional AI-enhanced photos and portraits using ByteDance's Seedream 4.5 model, enabling users to create styled portraits, group photos, edit images, and design posters. Useful for creators, designers, and anyone needing AI-powered image generation.
"name": "buildable", "description": "Local product-structure compiler, compact UI/UX brain, and quality gate for your coding agent. A prompt becomes the right archetype, selected design system, runnable build-verified starter, and reviewed result while loading only the references each prompt needs."
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.
A complete system for crafting Seedance 2.0 prompts on Higgsfield that feature AI avatars, digital personas, virtual presenters, and synthetic characters as the primary subject. This skill covers everything from photorealistic digital humans to stylized 3D characters, including hook patterns, enviro
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
Videos with 80%+ completion get 2-3x algorithmic reach. Your hook determines everything. Layer these elements for maximum impact: 1. Base Layer — Ambient bed (room tone, wind, hum) or silence
When generating a prompt, collect or infer: Seedance 2.0 prompt structure: Each prompt block should be 15–25 lines covering: scene, camera, lighting, timing breakdown, motion notes, and sound direction.
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:
Transform podcast audio into cinematic visual content using Seedance 2.0 on Higgsfield. This skill produces video prompts that replace static audiograms with storytelling-driven visual experiences built entirely from constructed imagery. The hook is the opening frame that stops the scroll. It must c
Transformation content is the highest-engagement format on social media. This skill generates precise Seedance 2.0 prompts that capture the full emotional arc of change: tension, reveal, payoff. Before generating prompts, establish: Show both states in rapid alternation — before/after/before — withi
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
1. Never show a flat screenshot. Always add depth — perspective, reflection, environment, motion. 2. The UI is the hero, not the narrator. Show the interface doing things, not someone explaining it. 3. Sound sells more than visuals. A satisfying click, a smooth transition sound, a bass hit on featur
"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
"name": "Ed Kennedy", "url": "https://github.com/latentwill" "description": "Ideonomy skills for AI agents — systematic idea expansion using Patrick Gunkel's framework, synthesized by Grace Kind",
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.
"name": "promptscout", "description": "Enrich coding agent prompts with codebase context using a local LLM", "name": "Omercan Balandi",
"name": "nuclear-grade", "description": "Risk-graded context engineering for AI-assisted software work — a catalog of agent skills, paste-ready command prompts, and change-record templates that keep agent work questioned, controlled, and reviewable.", "name": "FlyFission"
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.
"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.
