Loading...
Loading...
Found 1,233 Skills
Implementation patterns for polizy authorization. Use when implementing team access, folder inheritance, field-level permissions, temporary access, revocation, or any specific authorization scenario.
Interactive hypothesis-driven debugging with documented exploration, understanding evolution, and analysis-assisted correction.
Robyn backend scaffolding and architecture guidance for projects using robyn-config. Use when creating or evolving Robyn services, choosing DDD vs MVC, choosing SQLAlchemy vs Tortoise, adding new entities/routes/repositories with robyn-config add, auditing Robyn backend quality, or authoring and improving skill markdown for Robyn engineering workflows.
Metodología completa para levantamiento de requerimientos de software y negocios. Usar cuando se necesite documentar un proyecto nuevo, validar una idea de negocio, crear especificaciones técnicas, o generar documentación completa que cubra visión de negocio, stakeholders, procesos, requerimientos funcionales y no funcionales, modelo de datos, integraciones, riesgos y roadmap. Ideal para proyectos que requieren cotización, desarrollo, delegación o presentación a inversores.
This skill provides comprehensive support for the writing process from ideation through revision. Use this skill when helping users write essays, articles, or creative pieces through interactive collaboration. The skill supports co-evolving outline and prose, voice-based input processing, multiple writing styles, and connection to the user's PKM system for enriched content.
Docusaurus build health validation and deployment safety for Claude Skills showcase. Pre-commit MDX validation (Liquid syntax, angle brackets, prop mismatches), pre-build link checking, post-build health reports. Activate on 'build errors', 'commit hooks', 'deployment safety', 'site health', 'MDX validation'. NOT for general DevOps (use deployment-engineer), Kubernetes/cloud infrastructure (use kubernetes-architect), runtime monitoring (use observability-engineer), or non-Docusaurus projects.
Automatically discover and recommend relevant Claude skills when users encounter tasks that could benefit from specialized capabilities. Use this skill proactively when detecting any of these patterns: (1) User mentions working with specific file formats (PDF, DOCX, Excel, images, etc.), (2) User describes repetitive or specialized tasks (data analysis, code review, deployment, testing, document processing), (3) User asks if there's a tool or capability for something, (4) User struggles with domain-specific work (React development, SQL queries, DevOps, content writing), (5) User mentions needing best practices or patterns for a technology, (6) Any situation where a specialized skill could save time or improve quality. Search using SkillsMP API (if configured), skills.sh leaderboard, or GitHub as fallback. Recommend 1-3 most relevant skills and offer to install via npx skills add.
Diagnose world-level story problems. Use when settings feel thin, institutions feel designed rather than evolved, economies don't make sense, or non-human species feel like humans in costume. Applies systemic worldbuilding principles to identify specific gaps and recommend interventions.
Schema migration strategies for evolving applications including adding new fields, backfilling data, removing deprecated fields, index migrations, and zero-downtime migration patterns
This skill should be used when writing or reviewing Swift code for iOS or macOS projects. Apply modern Swift 6+ best practices, concurrency patterns, API design guidelines, and migration strategies. Covers async/await, actors, MainActor, Sendable, typed throws, and Swift 6 breaking changes. Keywords: concurrency, async-await, actors, Sendable, typed-throws, Swift-6, migration, data-races, MainActor, nonisolated, isolated, iOS, macOS, SwiftUI, Combine, Swift-concurrency, actor-isolation, strict-concurrency, Swift-migration, modern-Swift, Swift-evolution, code-review, Swift-patterns, Apple-platforms, Xcode, iOS-development, macOS-development
Expert in Machine Learning Operations bridging data science and DevOps. Use when building ML pipelines, model versioning, feature stores, or production ML serving. Triggers include "MLOps", "ML pipeline", "model deployment", "feature store", "model versioning", "ML monitoring", "Kubeflow", "MLflow".
Designing Go libraries and packages for long-term evolution. Covers API surface management, dependency direction, backwards compatibility, trade-offs between parameter objects and functional options, and testability via deterministic simulation.