Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Monitors GPU performance, VRAM usage, and inference metrics for local Ollama models.
Automates the generation of terminal recordings and documentation galleries for Bazzite AI command lifecycles.
Optimizes machine learning models using automated grid, random, and Bayesian search strategies to maximize predictive performance.
Generates production-ready Infrastructure as Code configurations for multiple cloud providers and platforms using natural language prompts.
Automates the collection and visualization of comprehensive infrastructure performance metrics across multi-layer systems and cloud services.
Identifies potential security vulnerabilities by scanning source code for missing or insufficient input validation and sanitization.
Scans source code for security vulnerabilities related to improper input validation, sanitization, and common web exploits.
Scans source code to identify and mitigate input validation vulnerabilities like SQL injection and cross-site scripting.
Automates the creation of high-quality pull requests by drafting titles, generating structured descriptions, and submitting via the GitHub CLI.
Scans source code to identify and mitigate input validation vulnerabilities like SQL injection, XSS, and command injection.
Automates the execution of complex integration test suites by managing environment setup, database migrations, and service orchestration.
Systematically processes and resolves pull request feedback with automated fixes and thread replies.
Automates the setup, execution, and cleanup of comprehensive integration test suites within the Claude Code environment.
Generates production-ready Kubernetes manifests including deployments, services, and ingress configurations following industry best practices.
Provides instant 30-second cryptocurrency market summaries using institutional-grade on-chain metrics from CryptoQuant.
Generates production-ready configurations for AWS ALB/NLB, Nginx, and HAProxy to automate infrastructure deployment and traffic management.
Manages git worktrees to enable simultaneous feature development and parallel coding sessions within isolated workspaces.
Automates the validation of traffic distribution, failover mechanisms, and health checks for load balancing configurations.
Validates load balancing strategies by testing traffic distribution, failover scenarios, and session persistence.
Validates GDScript changes by refreshing the Godot language server cache and performing diagnostic checks.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Aggregates and centralizes performance metrics from diverse systems to streamline observability and real-time monitoring.
Automates the machine learning lifecycle by analyzing datasets, selecting optimal algorithms, and training models with cross-validation.
Manages the chittad background daemon to control persistent AI background processes within the cc-soul framework.
Automates the end-to-end machine learning workflow by analyzing datasets, selecting optimal model types, and generating production-ready model artifacts.
Compiles and installs the chitta core binaries and embedding models from source code.
Navigates complex memory graphs using RLM-style recursive search to find deep context without excessive token usage.
Automates mobile application testing across iOS and Android platforms using industry-standard frameworks like Appium and Detox.
Automates end-to-end testing for iOS and Android applications using frameworks like Appium, Detox, and XCUITest.
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