Leonxlnx/taste-skill
Taste Skill provides portable AI Agent Skills designed to enhance the quality of AI-generated frontends and image-based design references, aiming to eliminate generic UI outputs.
Awesome AI Agents › AI Developer Toolkit
SkillPort is a toolkit for managing Agent Skills, the SKILL.md-plus-resources packages that coding agents load as reusable instructions. It covers the whole lifecycle: validation against the Agent Skills specification, installation from GitHub repositories, local directories or zip archives, updating installed skills from their original sources, listing and removing them, and editing skill metadata programmatically through meta commands. Validation reports missing frontmatter fields, naming problems and specification violations, and a JSON output mode makes it usable as a continuous integration check before skills are deployed. For delivery, SkillPort exposes installed skills to agents that have no native skill support: it runs as an MCP server so any MCP client can discover and load skills as tools, and it also works as a plain command line tool or as an importable Python library for agents built in house. When a collection grows past a few dozen skills, SkillPort applies a search-first loading pattern, where the agent searches for the relevant skill instead of having every skill description occupy the context window. The project targets developers who maintain many skills across several agent runtimes, teams that want a repeatable install and validation step in their pipelines, and authors of custom agents who need a ready-made skill loader. It requires Python 3.10 or newer and is distributed under the MIT license. The repository documents commands for validating, adding, updating, listing and removing skills, and states compatibility with the public Agent Skills specification, so skills authored for Claude Code and similar tools can be reused unchanged.
https://github.com/gotalab/skillport
Taste Skill provides portable AI Agent Skills designed to enhance the quality of AI-generated frontends and image-based design references, aiming to eliminate generic UI outputs.
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