Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Retrieves comprehensive documentation for Go packages, types, and methods using the standard CLI.
Optimizes React Native and Expo applications through performance-driven patterns, fluid animations, and native-first UI strategies.
Automates TypeScript test execution using specialized agents with intelligent command fallback mechanisms.
Configures project instruction files to automate and standardize TypeScript development workflows for AI agents.
Deploys web applications and static sites to Vercel instantly with zero configuration or authentication required.
Transforms raw business data into compelling narratives and persuasive executive presentations using proven storytelling frameworks.
Orchestrates parallel teams of AI agents to autonomously complete complex, multi-file engineering tasks with independent verification.
Automates TypeScript and React code reviews with a focus on naming conventions and test code quality.
Summarizes and categorizes emails from Gmail and Exchange into actionable markdown reports for streamlined inbox management.
Automates the creation and optimization of specialized Claude Code skills according to Anthropic's architectural best practices.
Guides users through a structured, three-stage workflow to collaboratively draft, refine, and test high-quality technical documentation.
Orchestrates the TypeScript development lifecycle by enforcing structured planning, TDD cycles, and rigorous quality gates.
Refines implementation plans by mapping task dependencies and eliminating structural gaps through systematic connection tracing.
Creates and modifies specialized Claude Code sub-agents using automated validation and architectural best practices.
Analyzes marketing pages to provide actionable recommendations and copy alternatives that increase conversion rates.
Analyzes TypeScript and React codebases to detect and resolve performance bottlenecks using a measurement-first optimization approach.
Manages LogSeq infinite canvas whiteboards by creating and editing .edn files with shapes, connectors, and block portals.
Generates and optimizes LogSeq simple queries and advanced Datalog queries for complex graph data retrieval and task management.
Performs hypothesis-driven statistical analysis and data visualization on datasets, system metrics, and experiment logs.
Streamlines the creation and management of reusable LogSeq block structures with dynamic variables for efficient note-taking.
Orchestrates multi-agent parallel security audits to validate, analyze, and remediate complex vulnerabilities with evidence-based findings.
Manages and configures Temporal namespaces for workflow isolation, multi-tenancy, and resource organization.
Guides the creation and management of Hugo static sites with expert patterns for directory structure, configuration, and content organization.
Automates the process of merging GitHub pull requests and cleaning up local Git worktrees.
Converts Markdown documents into natural Korean speech audio using high-fidelity voice cloning and the Qwen3-TTS pipeline.
Generates and manages LogSeq-compatible markdown files using block-based outlining, properties, and specialized syntax.
Diagnoses and resolves complex Temporal workflow issues including non-determinism errors, activity timeouts, and worker connectivity problems.
Streamlines Haskell API client development using the Servant library with robust two-layer error handling and effectful patterns.
Transforms PRD functional requirements into actionable, prioritized implementation task lists with complexity estimates.
Initializes and scaffolds the Digital Cortex vault structure for organized AI-driven knowledge management.
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