Skill UI

Maps architectural components within a codebase, computes statement-based size metrics, flags oversized or undersized modules, and generates an inventory to guide decomposition planning.

This skill automatically generates comprehensive and highly structured Pull Request (PR) descriptions directly from Git diffs. It goes beyond simple summaries by automatically adding detailed change categories (e.g., source, test, config), security risk assessments, and required review checklists based on the modified file types. Use this when submitting complex code changes or when the diff is large and requires explicit structure for thorough review.

This skill converts vague coding requests into a highly structured, actionable, and atomic development plan. It guides the user through defining the approach, scope (In/Out), and breaking down the task into a mandatory checklist of ordered, concrete steps (e.g., discovery, implementation, validation). Ideal for ensuring comprehensive and traceable project development workflows.

Automates configuration reference generation within technical documentation, offering guidance, best practices, and production-ready code while validating outputs against standards to support API docs, user guides, architecture docs, and automation workflows.

Generates production-ready auto-scaling configurations for apps and infrastructure, covering Kubernetes HPAs and scaling policies so you can handle load spikes, enforce high availability, and keep resource usage efficient.

Generate production-ready load balancer configurations for ALB, NLB, Nginx, or HAProxy based on requirements, and provide ready-to-deploy files for DevOps automation.

Automates Istio and Linkerd configuration for microservices, generating production-ready manifests and setup code tailored to your infrastructure, emphasizing security, observability, and traffic management best practices.

Automated guidance for Confluence page generator tasks within enterprise workflows, delivering best-practice patterns plus production-ready code and configuration validation.

Assists ML Training workflows by automatically activating on confusion matrix generator requests, offering structured guidance, best-practice checks, and ready-to-use code snippets.

Connect Claude to 1000+ services via the Composio Tool Router so you can actually send emails, file issues, post messages, or update docs and data directly from chat instead of just generating instructions.

Automates connection pool analyzer tasks for performance testing, offering best-practice guidance, code/config generation, and validation during load, stress, and benchmarking activities.

Guides setting up Constitutional AI by combining self-critique SL with RLAIF training to align generative models without human labels and reduce harmful outputs in systems like Claude.