Skill UI

Automatically evaluates Claude Code sessions at the Stop hook, identifies reusable patterns, and stores them as learned skills for future reuse, helping you capture troubleshooting steps, debugging techniques, and project conventions without manual effort.

This advanced system transforms session interactions into reusable, atomic knowledge units called "Instincts." By hooking into tool usage and session activity, it observes patterns (like preferred coding styles, error fixes, or repeated workflows). These instincts are then clustered and "evolved" into structured Skills, Commands, or specialized Agents, capturing deep contextual knowledge with weighted confidence scoring to enhance development productivity.

This skill acts as a compatibility alias for pull request (PR) creation. It is designed to handle requests using the legacy name 'create-pr', redirecting the user to the canonical and updated workflow found in 'sentry-skills:pr-writer'. Use this when referencing the old skill name to ensure the latest PR writing standards are applied.

Guides Claude Code skill authors through designing and structuring workflow-based skills with numbered phases, decision routing, subagent delegation, and progressive disclosure so multi-step automations remain predictable and auditable.

Offers a reference structure for Claude Code plugin skills, describing triggers, file layouts, and best practices so you can craft new skills quickly and consistently.

Automated Firestore index guidance for GCP Skills, triggering on index creator requests to deliver best-practice configs, validation, and production-ready code for Firebase/BigQuery/Vertex AI workloads.

Automates firewall rule generation within GCP Skills by responding when you mention firewall rule generator, delivering best-practice guidance, production-ready configs, and validation for compute, storage, BigQuery, Vertex AI, and related services.

This orchestrator skill provides comprehensive core principles for game development, covering topics like the Game Loop, design patterns (State Machine, ECS), performance budgeting, and input abstraction. It guides users by routing them to specialized sub-skills based on required platforms (Web, Mobile, PC), dimensions (2D, 3D), and specialty areas (AI, Networking, Art). Ideal for structuring complex game projects from concept to implementation.

Automated guidance for GKE cluster configuration within GCP Skills, offering step-by-step instructions, best practices, and production-ready code for compute, storage, BigQuery, Vertex AI, and other GCP services.

This skill automatically gathers and structures comprehensive context for Apple product development. It analyzes existing project files (like README, Info.plist, and code) and prompts the user for details across product overview, target platforms, technology stack, design system, and accessibility requirements. The output is a structured context document used by other specialized skills to ensure consistent, informed design and development decisions.

Automates iam policy creation for AWS Skills, activating when you mention the trigger, guiding best practices, generating production-ready configs, and validating outputs for compute, storage, networking, and serverless scenarios.

This workflow facilitates comprehensive candidate sourcing using the Juicebox platform. It enables users to execute highly specific people searches by applying robust filters (e.g., location, years of experience, specific skills). Furthermore, the system scores the identified candidates based on relevance and allows bulk export of top profiles to major Applicant Tracking Systems (ATS) like Greenhouse or Lever, streamlining the entire recruiting pipeline.