Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Directorio de skills
Descubre skills reutilizables para AI agents.
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Resultados de búsqueda: photo-composition
Directorio en inglésA Codex skill for generating minimal zine-style editorial poster prompts and images.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
A self-hosted open source photo management service.
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Manage your photos with Piwigo, a full featured open source photo gallery application for the web. Star us on Github! More than 200 plugins and themes available. Join us and contribute!
An HTTP router and reverse proxy for service composition, including use cases like Kubernetes Ingress
A free portable photo editor focused on pro-grade features, high performance, and maximum usability.
Agent skills for VueUse to help AI agents use Vue Composition utilities efficiently with minimal token usage.
An offline-first photo manager for large local libraries
Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.
Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.