Beautiful & consistent icon toolkit made by the community. Open-source project and a fork of Feather Icons.
Skill ディレクトリ
AI Agent のための再利用可能な Skill を見つける。
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
検索結果: eventually-consistent
英語版ディレクトリBuild reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
A solution for implementing efficient and consistent software delivery to Kubernetes facilitating best practices.
Build consistent, themeable React apps based on constraint-based design principles
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Baklava is a design system provided by Trendyol to create a consistent UI/UX for app users.
AI Agent Skill for Prompting Video Models
Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".
Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design".
A Claude Code plugin providing 16 visual content workflows with AI image generation, aesthetic routing, and brand customization.
A consistent code style guide for SQL to ensure legible and maintainable projects
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.