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Manage agent skills across collection, recommendation, voting, and continuous evolution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "skills-vote" yet — see the docs or source repo.
Help me design an agent skill governance workflow to collect team-submitted skill candidates, then classify and prioritize them by use case, quality, reusability, and maintenance cost.
A skill collection and evaluation workflow with classification dimensions, prioritization rules, and governance recommendations.
Based on these team roles and common tasks, create agent skill recommendation rules: developers focus on code generation and testing, product managers on requirement analysis and documents, and researchers on search and summarization.
A role- and task-based skill recommendation strategy for distributing the most suitable skills.
Design a continuous evolution mechanism for our agent skill library, including user voting, feedback attribution, version retirement, upgrade criteria, and ways to identify low-value skills.
A skill iteration framework covering voting, feedback, version management, and retirement criteria.
Intelligently selects, loads, and manages the best AI skill for tasks.
Generate test scenarios and measure how well agents follow skills and rules.
Design, evaluate, refine, and package AI skills with an architecture-first workflow.
Semantically search a local skill library and load only relevant skills on demand.
Design, review, and package reusable Agent Skills and SKILL.md files.
Upgrade any AI agent with expert skills and built-in context management.