Explorar Todas las Habilidades de Claude

Test Data Generator

Generates realistic test data, fixtures, and edge cases to ensure robust software testing and database seeding.

Article Queue Manager

Manages a structured article task queue to track creation, multi-language translations, and publishing workflows.

AI Image Generation

Generates high-quality images directly within the Claude Code terminal using Gemini via ZenMux.

Version Bumper

Automates semantic version updates across plugin manifests, marketplace catalogs, and git tags to ensure repository consistency.

Database Schema Designer

Architects normalized database schemas, generates visual ERD diagrams, and produces optimized SQL scripts for production environments.

Database Deadlock Detector

Identifies and resolves database lock contention and transaction deadlocks to improve system stability and performance.

Distributed Tracing Implementation

Implements and configures distributed tracing using Jaeger and Tempo to visualize request flows and identify performance bottlenecks across microservices.

LLM Performance Evaluation

Implements comprehensive evaluation frameworks for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.

Prompt Optimizer

Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.

Real User Monitoring (RUM) Assistant

Implements Real User Monitoring to capture and analyze Core Web Vitals and actual user performance data.

UV Package Manager

Streamlines Python project management using the ultra-fast uv tool for dependency resolution, virtual environments, and reproducible workflows.

Database Sharding Manager

Designs and implements horizontal database sharding strategies to scale high-traffic applications beyond single-server limitations.

Code Review Reception

Optimizes code review interactions by prioritizing technical verification and rigor over performative agreement.

YouTube Transcript Downloader

Extracts, downloads, and cleans YouTube video transcripts and captions for easy reading and analysis.

Defense-in-Depth Validation

Implements a multi-layered validation strategy to eliminate data-driven failures and make bugs structurally impossible.

Testing Anti-Patterns Prevention

Prevents common testing mistakes like mocking implementation details, polluting production code, and ignoring accessibility requirements.

Analyzing Implementations

Documents code functionality with surgical precision by tracing data flow and providing exact file and line references.

Design System Governance

Detects and tracks design token drift between Figma design systems and code implementations to ensure visual consistency.

Code Review Gatekeeper

Enforces a mandatory code review workflow by dispatching subagents to verify implementation quality and requirement alignment before work completion.

Strategic Web Researcher

Conducts deep, multi-perspective web research to find authoritative documentation, technical solutions, and best practices with cited sources.

Frontend Design

Generates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through bold, intentional design choices.

Constitutional Alignment Guard

Ensures feature requests and code changes adhere to project-defined core principles and design values to prevent scope creep.

Technical Specification Writer

Generates comprehensive, structured technical specifications and architectural designs integrated with the Wrangler issue management system.

Conversion Psychology

Optimizes marketing scripts and sponsored content using psychological triggers and persuasion principles to drive higher conversions.

Automated Data Preprocessing Pipeline

Streamlines data preparation for machine learning by building automated pipelines for cleaning, validation, and transformation.

Dataset Splitter & ML Partitioning

Automates the partitioning of datasets into optimized training, validation, and testing subsets for machine learning workflows.

Dataset Splitter for ML

Automates the partitioning of datasets into training, validation, and testing sets to streamline machine learning workflows.

Database Integrity & Validation

Ensures database reliability by automatically enforcing data types, ranges, formats, and complex business logic rules.

Deep Learning Optimizer

Optimizes deep learning model performance by refining architectures, tuning hyperparameters, and implementing efficient training strategies.

Dependency Analyzer & Security Auditor

Analyzes project dependencies to identify security vulnerabilities, outdated packages, and license compliance issues across multiple ecosystems.