Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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recursive-string-diagrams
recursive-string-diagrams
majiayu000/claude-skill-registry 163
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obsidian-bases
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
majiayu000/claude-skill-registry 163
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MCP Architecture Expert
Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices
majiayu000/claude-skill-registry 163
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gpui-global
Global state management in GPUI. Use when implementing global state, app-wide configuration, or shared resources.
majiayu000/claude-skill-registry 163
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tech-writer
Technical Writer for documentation. Creates and maintains technical and user documentation. Use this skill for documentation, README, API docs, or user guides.
majiayu000/claude-skill-registry 163
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info-search-knowledge
针对新产品、新技术进行多渠道信息搜索和验证，并将可靠信息保存到知识库。优先选择权威科技媒体，忽略过时信息源。当用户提到"最新信息"、"新产品"、"新技术"、"搜索资料"、"查资料"、"了解XX"时使用此技能。
majiayu000/claude-skill-registry 163
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auto-commit
Automatically commits and pushes significant changes to git after completing features, fixes, or milestones. This skill should be used proactively by Claude when meaningful work is completed, or invoked manually via /auto-commit. Triggers on feature completion, bug fixes, configuration changes, documentation updates, or when explicitly requested.
majiayu000/claude-skill-registry 163
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coding-conventions
Provides coding style rules for Python and PowerShell. Apply when writing, editing, reviewing, or debugging code.
majiayu000/claude-skill-registry 163
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moai-domain-uiux
Domain UI/UX Expert - Enterprise design systems, component architecture, accessibility, icons, and theming integration
majiayu000/claude-skill-registry 163
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python-data-engineering
Comprehensive Python data engineering patterns for AWS Data Lake, including PySpark, Pandas, Apache Airflow, AWS Glue, ETL pipelines, data quality, schema management, performance optimization, FastAPI services, streaming with Kafka/Kinesis, data validation with Great Expectations, testing strategies, error handling, logging, and production deployment on AWS EMR and Glue.
majiayu000/claude-skill-registry 163
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Pr Review
Review pull requests against team standards and best practices
majiayu000/claude-skill-registry 163
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ux-audit-walkthrough
Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma prototype or web interface, evaluating usability based on principles like fewer clicks, less UI elements, no hidden logic, and self-explanatory design.
majiayu000/claude-skill-registry 163
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ideation
majiayu000/claude-skill-registry 163
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dmitrii-writing-style
Captures Dmitrii's distinctive writing voice and preferences for all written outputs. Use when creating case studies, blog posts, articles, documents, emails, proposals, PRDs, specifications, messages, or any written content on Dmitrii's behalf. MUST be invoked for any mid-to-long form content creation.
majiayu000/claude-skill-registry 163
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writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
majiayu000/claude-skill-registry 163
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de3-decompose-task
Apply DE3 decomposition to split a task into smaller, independent units.
majiayu000/claude-skill-registry 163
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Directus UI Extensions Mastery
Build Vue 3 UI extensions for Directus with modern patterns, real-time data, and responsive design
majiayu000/claude-skill-registry 163
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doc-consistency
This skill provides guidance for maintaining documentation consistency with implementation in the vscode-sidebar-terminal project. Use this skill when creating or updating documentation, verifying documentation accuracy, preparing releases, or when the codebase has changed and documentation may need updates. This skill should be used proactively after implementing features or bug fixes.
majiayu000/claude-skill-registry 163
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implementation-verification
Use after implementation complete to verify all tasks done, update roadmap, run full test suite, and create final report - ensures implementation completeness before finishing development branch
majiayu000/claude-skill-registry 163
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nesting-optimization
When the user wants to nest irregular shapes on sheets, pack non-rectangular parts optimally, or solve nesting problems for manufacturing. Also use when the user mentions "nesting," "irregular shape packing," "polygon nesting," "shape nesting," "marker making," "leather nesting," "sheet metal nesting," "garment cutting optimization," or "CNC nesting." For rectangular items, see 2d-cutting-stock. For 1D problems, see 1d-cutting-stock.
majiayu000/claude-skill-registry 163
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codebase-research
Orchestrates comprehensive codebase research by decomposing user queries into parallel sub-agent tasks and synthesizing findings. This skill should be used when users ask questions about how code works, where functionality exists, how components interact, or need comprehensive documentation of existing implementations. It focuses exclusively on documenting and explaining the codebase as it exists today.
majiayu000/claude-skill-registry 163
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nuxt-ui
Use when building styled UI with @nuxt/ui v4 components (Button, Modal, Form, Table, etc.) - provides ready-to-use components with Tailwind Variants theming. Use vue skill for raw component patterns, reka-ui for headless primitives.
majiayu000/claude-skill-registry 163
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active-directory
Query and manage Active Directory: users, groups, computers, OUs, GPO status. Use when user asks about AD objects or domain information.
majiayu000/claude-skill-registry 163
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sap-hana-ml
SAP HANA Machine Learning Python Client (hana-ml) development skill.
Use when: Building ML solutions with SAP HANA's in-database machine learning
using Python hana-ml library for PAL/APL algorithms, DataFrame operations,
AutoML, model persistence, and visualization.
Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics,
HANA DataFrame, ConnectionContext, classification, regression, clustering,
time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
majiayu000/claude-skill-registry 163