Search Skills

Automates GitHub project management tasks including issue tracking, sprint planning, and board updates via GitHub Projects v2 API integration.

Generates reusable AI skills with specialist agents optimized via evidence-based prompting for consistent high-quality performance in Claude Code.

Identifies performance bottlenecks including N+1 queries, memory leaks, and inefficient algorithms to optimize code efficiency.

Optimizes embedding models and chunking strategies for semantic search and RAG applications in AI systems.

Creates comprehensive technical documentation via TSDoc, Storybook, and TypeDoc for codebases and APIs.

Diagnoses and mitigates context degradation in AI agent systems to maintain performance during large context growth or unexpected failures.

Integrates with Jira Cloud to automate issue management tasks including creation, updates, and status transitions via REST API and JQL.

Provides comprehensive patterns for Zod validation in TypeScript applications to ensure consistent and secure input validation.

Comprehensive MERN stack code review focusing on security, performance, maintainability, and architecture.

Conducts security audits, vulnerability assessments, and OWASP compliance reviews to identify and report security risks in code.

Enforces optimization of Core Web Vitals (LCP, FID/INP, CLS) to improve web application performance and user experience.

Provides structured three-phase checklists for remote Linux system maintenance, including disk space, package cleanup, and diagnostics.

Provides step-by-step guidance for non-technical users navigating development tasks via natural language queries like 'how do I use this?' or 'what should I do next?'

Performs basic and complex mathematical calculations for productivity tasks.

Advanced Git operations for interactive rebasing, conflict resolution, and branch management strategies.

Offers Vitest testing patterns for unit, agent, and API tests with Supabase mocking capabilities.

Generates structured markdown templates for self-learning resource projects including plan, task, and context documentation.

Provides end-to-end coordination, agent dispatching, and pull request review for agent development workflows.

Automates pre-commit code quality checks for linting, testing, and build verification to maintain development standards.

Provides systematic root cause analysis for software bugs, delivering detailed diagnostic reports and executable fix plans with code references and step-by-step guidance.

Automates execution of partner-provided implementation plans in controlled batches with critical review checkpoints between each batch.

Saves current window context, completed tasks, and pending tasks to a directory for seamless session restoration in new windows.

Evaluates framework extensibility, abstraction layers, and configuration approaches to assess design patterns and customization flexibility.

Python testing framework for creating simple, scalable, and powerful unit and integration tests.