Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Creates and configures specialized LearningAgents with automated directory scaffolding and domain-specific knowledge initialization.
Researches comprehensive technical documentation, best practices, and version-specific constraints for software libraries and frameworks.
Automates the resolution of GitHub pull request comments by processing multiple review threads simultaneously using parallel AI agents.
Extends Pi coding agent workflows with specialized capabilities for compound engineering tasks.
Generates executable Go/No-Go deployment checklists with SQL verification queries, rollback procedures, and monitoring plans for risky production changes.
Updates the LearningAgent's knowledge base by documenting investigated issues into core knowledge, topics, or learning files.
Performs comprehensive security audits and vulnerability scans to ensure codebases are production-ready and OWASP-compliant.
Generates distinctive, production-grade frontend interfaces with unique aesthetic identities that avoid generic AI design patterns.
Streamlines parallel development by managing isolated Git worktrees with automated environment setup and branch isolation.
Restricts model invocation capabilities to ensure strictly local processing or controlled execution environments.
Generates and edits high-resolution images using the Gemini API with support for multi-turn refinement and reference-based composition.
Automates linting, formatting, and security audits for Ruby and ERB files to ensure high code quality and consistency.
Generates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through intentional, high-quality design choices.
Manages file transfers, synchronization, and cloud storage operations across 40+ providers directly within Claude Code.
Simplifies and refactors source code by identifying YAGNI violations and eliminating unnecessary complexity.
Enforces elite-level TypeScript standards and type safety through rigorous code reviews and architectural guidance.
Automates the continuous improvement of AI agents by analyzing session transcripts, identifying errors, and refining agent definitions.
Simplifies Git worktree management for isolated parallel development and seamless context switching during code reviews and feature work.
Performs systematic, line-by-line copy editing and proofreading based on the Every style guide.
Architects autonomous software systems where features are emergent outcomes of agents operating through atomic tools and action parity.
Performs automated, rule-based code reviews on branches and files using custom project configurations.
Performs systematic line-by-line editorial reviews to ensure written content adheres to Every's specific style guide and professional standards.
Generates and edits high-quality visual assets using the Gemini API with support for custom resolutions, aspect ratios, and multi-turn refinement.
Analyzes codebases to identify design patterns, technical debt, and architectural inconsistencies.
Creates standardized issue logs to document and track failures observed during LearningAgent sessions.
Analyzes code changes to ensure architectural integrity, pattern compliance, and long-term system scalability.
Configures automated code review rules using YAML configuration files to streamline project quality assurance.
Applies the distinctive 37signals and DHH-inspired Ruby on Rails patterns for clean, RESTful, and maintainable codebases.
Synthesizes industry standards, official documentation, and community conventions to provide actionable implementation guidance.
Automates web browser interactions using a ref-based CLI optimized for AI agent workflows.
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