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.
Alanlee0323 AI Skills
GitHub ↗Explorez les skills IA publiés de Alanlee0323 et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
19Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
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...
GitHub
magicui
A collection of high-performance React UI components using Tailwind CSS and Framer Motion.
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.
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.
GitHub
planning-tasks
Use when you have a spec or requirements for a multi-step task, before touching code.
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.
GitHub
creating-agent-skills
Expert system for generating official Antigravity/Gemini Agent Skills. Enforces folder structure, YAML standards, and best practices.
GitHub
using-ultralytics
Expert system for Ultralytics YOLOv8/v9/v10. Provides documentation on training, detection, segmentation, and deployment.
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".
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.
GitHub
using-mlflow
Provides MLflow documentation covering Tracking, Projects, Models, and Registry. Use when the user asks about MLflow features, APIs, implementation, or debugging.
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".
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.
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...
GitHub
auditing-code
Performs static analysis, security scanning, and code linting. Use to detect bugs, API key leaks, and anti-patterns before committing.
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.
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.
GitHub
managing-environment
Infrastructure Architect acting as the guardian of reproducibility. Manages package installations, environment setup, and containerization decisions with a "Docker First" mentality.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.