GitHub
magicui-design
Standardizes the adaptation of Magic UI components to the Curlew Finance "Organic/Editorial" aesthetic. Use this skill when implementing dynamic UI elements, animations, or micro-interactions.
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Alanlee0323 AI Skills
GitHub ↗浏览 Alanlee0323 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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19收录技能的仓库 Stars 合计
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0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
brand-identity
Provides the single source of truth for brand guidelines, design tokens, technology choices, and voice/tone. Use this skill whenever generating UI components, styling applications, writing copy, or creating use...
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GitHub
magicui
A collection of high-performance React UI components using Tailwind CSS and Framer Motion.
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GitHub
generating-new-skills
Creates a new skill for the Antigravity agent environment based on user requirements. Use when the user wants to create a new skill or standardize an existing one.
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GitHub
brainstorming-ideas
Explores user intent, requirements and design before implementation. You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior.
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GitHub
planning-tasks
Use when you have a spec or requirements for a multi-step task, before touching code.
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GitHub
managing-cicd-workflow
Acts as a DevOps & MLOps expert for the LB-ASM-X2648 project. Use when the user asks about deployment, branches, pipeline errors, or releasing new features.
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GitHub
creating-agent-skills
Expert system for generating official Antigravity/Gemini Agent Skills. Enforces folder structure, YAML standards, and best practices.
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GitHub
using-ultralytics
Expert system for Ultralytics YOLOv8/v9/v10. Provides documentation on training, detection, segmentation, and deployment.
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GitHub
brainstorming-product-design
Acts as a Socratic Product Manager to explore, clarify, and define new application ideas. Use when the user has a vague idea, wants to "brainstorm", or asks to "design this app".
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GitHub
evaluating-models
Expert system for evaluating machine learning models. Automates the analysis of Confusion Matrices, PR Curves, and MLflow history comparison to provide objective, data-driven recommendations.
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GitHub
using-mlflow
Provides MLflow documentation covering Tracking, Projects, Models, and Registry. Use when the user asks about MLflow features, APIs, implementation, or debugging.
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GitHub
planning-implementation
Converts approved designs or detailed requirements into actionable, atomic implementation steps. Use when the user approves a design or asks "how to implement".
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GitHub
using-dvc
Provides commands and patterns for Data Version Control (DVC). Use when the user asks about versioning large files, creating pipelines, or reproducing experiments.
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GitHub
handling-review
Use when receiving code review feedback to enforce engineering rigor. Ensures feedback is verified, understood, and technically evaluated before implementation, preventing performative agreement and blind chang...
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GitHub
auditing-code
Performs static analysis, security scanning, and code linting. Use to detect bugs, API key leaks, and anti-patterns before committing.
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GitHub
reviewing-agent-skills
Acts as a QA Auditor and Red Team for new Agent Skills. Verifies structure, safety guardrails, and compliance with global-rules.
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GitHub
conducting-postmortem
Implements a Knowledge Feedback Loop. Analyzes debugging sessions and project outcomes to identify systemic failures, then proactively updates `using-*` skills to prevent recurrence.
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GitHub
managing-environment
Infrastructure Architect acting as the guardian of reproducibility. Manages package installations, environment setup, and containerization decisions with a "Docker First" mentality.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。