Skillry is a curated library of Agent Skills designed for popular AI coding assistants such as Claude Code, Codex, and Cursor. Instead of rebuilding the same prompts and workflows from scratch, developers can browse a growing collection of reusable SKILL.md files and install them directly into their preferred assistant.
What it offers
The core idea is simple: package repeatable tasks as portable skills that any supported agent can pick up. Each skill is distributed as a SKILL.md workflow, making it easy to read, adapt, and drop into an existing setup. The library currently spans several practical output types, including:
- Slide decks and presentation-style content
- Web pages and landing layouts
- Image generation and editing workflows
- Video creation and post-production tasks
Because the skills are plain markdown workflows, they stay transparent and editable. Users can inspect exactly what a skill does before installing it, then tweak the steps to match their own stack or style guide.
Who it is for
Skillry targets developers, technical creators, and AI power users who already work inside Claude Code, Codex, or Cursor. It is especially useful for people who want consistent results across repeated tasks without rewriting prompts every time. Teams that standardize on one of these assistants can also use the library to share a common set of workflows across members.
Typical use cases
A developer might install a slide-generation skill to turn a rough outline into a structured deck, or use a web page skill to scaffold a landing page from a short brief. Content creators can apply image and video skills to speed up asset production, while engineers can adapt existing SKILL.md files as templates for their own internal automations. The common thread is turning one-off prompts into reusable, versionable assets.
What makes it different
Many prompt collections are tied to a single model or a single interface. Skillry focuses on portability across multiple coding assistants and on a consistent SKILL.md format. That makes it closer to a package registry for agent workflows than a generic prompt dump. The curation angle also helps: rather than scrolling through thousands of untested prompts, users get a smaller set of skills organized around concrete output types like slides, pages, images, and video.
For anyone building a personal or team library of agent workflows, Skillry offers a practical starting point that can be extended with custom skills over time.
