Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Guides users through the security incident response lifecycle, from initial classification and containment to forensic evidence collection and remediation.
Analyzes project dependencies to identify security vulnerabilities, outdated packages, and license compliance issues across multiple ecosystems.
Analyzes project dependencies across multiple languages to identify security vulnerabilities, outdated packages, and license compliance risks.
Automates the scaffolding, file generation, and marketplace integration of new Claude Code plugins with standardized structures.
Automates the scaffolding and marketplace integration of new Claude Code plugins with standardized structures and validation.
Analyzes project dependencies for security vulnerabilities, outdated packages, and license compliance across multiple programming languages.
Analyzes project dependencies across multiple package managers to identify security vulnerabilities, outdated versions, and license compliance issues.
Audits codebase session management to identify security vulnerabilities like session fixation and weak ID generation.
Optimizes deep learning models by refining architectures, tuning hyperparameters, and implementing advanced training strategies to improve performance and efficiency.
Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and efficient code generation.
Performs automated security audits to detect vulnerabilities like SQL injection, XSS, and insecure dependencies within your codebase.
Performs automated security audits to identify vulnerabilities like SQL injection, XSS, and insecure dependencies within your codebase.
Automates SOC2 audit preparation by gathering security evidence, identifying compliance gaps, and generating detailed readiness reports.
Transforms raw data into insightful visual representations like charts, plots, and graphs through intelligent automated selection and analysis.
Automates the enforcement of database integrity through rigorous data type, range, and format validation rules.
Automates the partitioning of datasets into training, validation, and testing sets for machine learning workflows.
Partitions raw datasets into training, validation, and testing sets to streamline machine learning model development.
Provisions production-grade Vertex AI Agent Engine infrastructure and secure code execution sandboxes using Terraform.
Automates data cleaning, transformation, and validation to streamline the preparation of raw datasets for machine learning and analysis.
Automates data cleaning, transformation, and validation through robust ETL pipelines tailored for machine learning and advanced analysis.
Centralizes and organizes performance metrics from across your infrastructure into unified observability dashboards.
Designs and implements horizontal database sharding strategies to scale applications beyond single-server limitations.
Automates the transition of machine learning models from development to production through API generation, containerization, and cloud deployment.
Automates regression modeling and predictive data analysis to identify trends and relationships between variables.
Analyzes website HTTP headers to identify potential vulnerabilities and provides actionable security improvement recommendations.
Scans container images and running environments for vulnerabilities using industry-standard security tools like Trivy and Snyk.
Automates the design, implementation, and management of table partitioning strategies to optimize database performance for large-scale datasets.
Manages AI/ML model lineages and performance metrics within development workflows.
Automates the deployment and configuration of centralized log aggregation systems like ELK, Loki, and Splunk for production-grade observability.
Monitors and analyzes application error rates to improve system reliability through automated tracking and intelligent alerting thresholds.
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