Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Verifies code implementation against software design specifications to ensure development remains aligned with the original plan.
Ensures architectural readiness by validating that all project requirements are mapped to specific components, APIs, and data models.
Verifies system behavioral equivalence through formal coalgebraic observation and final bisimulation analysis.
Implements production-ready Node.js backend architectures using Express or Fastify with standardized patterns for authentication, data access, and error handling.
Conducts deep, evidence-based research using a 150% scope methodology to map core requirements and adjacent boundaries.
Conducts rigorous, product-minded pull request reviews for Go-based CLI applications built with the Cobra framework.
Scaffolds and generates new Claude Code skills through a guided CLI workflow to extend AI capabilities.
Generates comprehensive technical evidence reports to validate environment stability and API functionality before external presentations.
Implements robust error handling strategies across multiple programming languages to build resilient, fault-tolerant applications.
Enhances and upscales image and video resolution using advanced AI models and fal.ai integration patterns.
Validates that code implementations align perfectly with specification artifacts, tasks, and design documents before archiving changes.
Implements self-improving code architectures that use formal proofs and evolutionary search to safely enhance system utility.
Orchestrates polyglot development environments with deterministic identity coloring and advanced social data analysis using DuckDB.
Tags production logs, metrics, and traces with requirement identifiers to enable full-cycle traceability from runtime issues to business intent.
Automates the continuous refinement of software requirements by capturing edge cases and business rules discovered during the TDD/BDD implementation process.
Simplifies testing Temporal workflows and activities in Python using time-skipping, mocking, and determinism validation.
Implements hierarchical spatial indexing with deterministic GF(3) color derivation for geospatial analysis and visualization.
Standardizes FastAPI backend development using Domain-Driven Design (DDD) principles and structured layered architecture.
Automates the instrumentation of logs, metrics, and distributed traces with requirement IDs to enable end-to-end production observability.
Streamlines the GitHub issue lifecycle by automating intake, fixes, and PR creation within isolated Git worktrees.
Streamlines the creation, development, and deployment of Docusaurus documentation websites using automated scaffolding and management scripts.
Automates comprehensive code reviews by executing quality checks, security audits, and architectural validations based on local documentation.
Generates consistent, descriptive Git branch names aligned with conventional commit standards to streamline repository workflows.
Converts documentation websites, GitHub repositories, and PDFs into specialized Claude AI skills automatically.
Standardizes the creation and management of Helm charts for scalable Kubernetes application packaging and deployment.
Generates portable, single-file Python scripts featuring inline dependency management and robust Typer CLI scaffolding.
Analyzes and optimizes incoming requests to maximize context efficiency, decompose complex tasks, and recommend the most cost-effective execution strategies.
Implements modern PHP application patterns using the Laravel framework including Eloquent ORM, routing, and background processing.
Implements robust end-to-end testing suites using Playwright and Cypress best practices to ensure application reliability.
Standardizes the creation, structuring, and distribution of Python packages using modern build tools and PyPI publishing workflows.
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