Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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package-review
Public package tester for GitHub repositories. Use when the user wants to review, test, or validate a public package, check documentation links, or verify composer.json quality.
majiayu000/claude-skill-registry 163
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database-schema-guide
VaultCPA database schema reference with 50+ Prisma models, relationships, and query patterns. Use when working with database models, designing features, or understanding data structure.
majiayu000/claude-skill-registry 163
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obsidian-safe-changes
Cambios seguros en archivos del vault: mover, renombrar, editar o eliminar con trazabilidad y recuperacion.
majiayu000/claude-skill-registry 163
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Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
majiayu000/claude-skill-registry 163
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ftpc-storage-write
Full read-write access to remote storage backends (local, FTP, SFTP, S3, Azure). Upload files, delete files, create directories, in addition to listing and downloading. Use when you need to modify files on cloud storage, FTP servers, or remote filesystems.
majiayu000/claude-skill-registry 163
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phoenix-precision-guard
Precision and type-safety hardening for Phoenix calculation paths. Use when configuring ESLint/TypeScript, replacing parseFloat in P0 files, or validating Decimal.js precision.
majiayu000/claude-skill-registry 163
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escape-room-balance-engineer
Balance escape room difficulty, timing, and hint systems to achieve 60-70% completion rate. Designs progressive difficulty curves, three-tier hint systems, stuck-point analysis, and playtest metrics. Use when balancing game difficulty, designing hint systems, analyzing playtest data, or optimizing escape room completion rates.
majiayu000/claude-skill-registry 163
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python-dev-handbook
當要開發或修改 Python 程式碼時使用。
majiayu000/claude-skill-registry 163
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traefik
Traefik v3 reverse proxy and load balancer for Kubernetes and Docker. Use when configuring Traefik entrypoints, HTTP/TCP/UDP routing, IngressRoute CRDs, middlewares (auth, rate limiting, headers, redirects), load balancing, TLS/ACME certificates, or Kubernetes Ingress annotations.
majiayu000/claude-skill-registry 163
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moai-alfred-expertise-detection
Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching
majiayu000/claude-skill-registry 163
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activating-memories
Loads project-specific memories at session start and triggers onboarding for new projects. Use when starting a new coding session or when the user says "activate" or asks about project context.
majiayu000/claude-skill-registry 163
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conditional-encapsulation
This rule enforces encapsulating nested conditionals into functions to improve clarity.
majiayu000/claude-skill-registry 163
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kobo-translation
Translation and localization guidelines for KoboToolbox content in French, Spanish, and Arabic. Use when translating KoboToolbox materials including: (1) Academy courses and educational content, (2) User interface text and documentation, (3) Support articles, (4) Marketing materials, (5) Form building terminology, or (6) XLSForm technical terms. Covers tone, pronouns (tú/usted, tu/vous), gender-inclusive language, and official translations for brand terms and UI elements.
majiayu000/claude-skill-registry 163
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enhance
Enhance frontend to pixel-perfect standards with mobile responsiveness and industry-leading design quality
majiayu000/claude-skill-registry 163
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hubble-cloud-api
This skill should be used when the user needs to integrate with Hubble Network Platform API for IoT device management, packet data retrieval, webhook configuration, metrics tracking, user management, or billing. Triggers include 'Hubble API', 'Hubble devices', 'Hubble packets', 'register IoT devices', 'configure webhooks for Hubble', 'Hubble Network integration', 'stream packet data'.
majiayu000/claude-skill-registry 163
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commit
Format commit messages following conventional commits standard.
Use when: writing commit messages, git commit, reviewing commit history.
Keywords: commit, git, message, conventional, feat, fix, refactor.
majiayu000/claude-skill-registry 163
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smgrep
Semantic code search using natural language queries. Use when users ask "where is X implemented", "how does Y work", "find the logic for Z", or need to locate code by concept rather than exact text. Returns file paths with line numbers and code snippets.
majiayu000/claude-skill-registry 163
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repeller
Invariant set repelling nearby trajectories
majiayu000/claude-skill-registry 163
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cto-architecture-decision
Expert methodology for making and documenting critical architectural decisions using ADRs, trade-off analysis, migration planning, and technical debt management.
majiayu000/claude-skill-registry 163
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app-knowledge
When any part of the application needs to be found or understood.
majiayu000/claude-skill-registry 163
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skill-compliance-auditor
Validates that the generated skill adheres to the Antigravity Folder Structure and Blueprint requirements.
majiayu000/claude-skill-registry 163
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n8n-workflow-testing-fundamentals
Comprehensive n8n workflow testing including execution lifecycle, node connection patterns, data flow validation, and error handling strategies. Use when testing n8n workflow automation applications.
majiayu000/claude-skill-registry 163
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bootstrap-project
Initialize a new backend project with TypeScript, ESLint, Prettier, and Hono. Use when starting a new service from scratch. Triggers on "new project", "bootstrap", "start from scratch", "initialize project".
majiayu000/claude-skill-registry 163
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ml-pipeline-workflow
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
majiayu000/claude-skill-registry 163