CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms.
Score 70/100
Expert skill for GPU debugging using CUDA-GDB and NVIDIA Compute Sanitizer. Detect memory errors, race conditions, uninitialized memory access, validate atomic operations, analyze…
Score 70/100
Deep integration with NVIDIA CUDA toolkit for kernel development, compilation, and debugging. Execute nvcc compilation with optimization flags analysis, generate and validate CUDA…
Score 70/100
Cypress E2E testing standards including framework adaptations, test organization, and best practices
Score 70/100
CDI and Quarkus development standards for CUI projects, including CDI aspects, container configuration, testing, and native optimization
Score 70/100
Core Java development standards for CUI projects including coding patterns, null safety, Lombok, modern features, and logging
Score 70/100
CUI Java unit testing standards and patterns with JUnit 5, generators, and value object testing
Score 70/100
Core JavaScript development standards covering ES modules, modern patterns, code quality, async programming, and tooling
Score 70/100
Standards for identifying, prioritizing, and verifying JavaScript code maintenance and refactoring work
Score 70/100
Architecture rules and validation patterns for Claude Code marketplace components ensuring self-contained skills, proper skill usage, and clean reference patterns
Score 70/100
CUI test library standards for test data generation, value object contracts, and JUL log testing
Score 70/100
Synthesize Reflector insights into structured delta proposals for playbook updates, following ACE paper's Curator architecture
Score 70/100
Write measurable learning objectives using Bloom's Taxonomy and design curriculum architecture with scope, sequence, and assessment blueprints.
Score 70/100
Advanced Cursor Composer techniques: agent mode, parallel agents, complex refactoring, and multi-step orchestration.
Score 70/100
Use when configuring Cursor IDE or OpenAI Codex for game development — .cursorrules files, prompt conventions, context injection. Triggers: cursor, .cursorrules, codex, IDE setup.
Score 70/100
Master Cursor Composer for multi-file AI editing, scaffolding, and refactoring. Triggers on "cursor composer", "multi-file edit", "cursor generate files", "composer workflow",…
Score 70/100
Debug AI suggestion quality, context issues, and code generation problems in Cursor. Triggers on "debug cursor ai", "cursor suggestions wrong", "bad cursor completion", "cursor ai…
Score 70/100
Use for token-expensive operations requiring multi-file analysis - codebase exploration, broad searches, architecture understanding, tracing flows, finding implementations across…
Score 70/100
Reference architecture for Cursor IDE projects: directory structure, rules organization, indexing strategy, and team configuration patterns.
Score 70/100
Audit Cursor IDE rules (.mdc files) against quality standards using a 5-gate review process. Validates frontmatter (YAML syntax, required fields, description quality, triggering…
Score 70/100
Receive and verify Cursor Cloud Agent webhooks. Use when setting up Cursor webhook handlers, debugging signature verification, or handling Cloud Agent status change events (ERROR,…
Score 70/100
Building custom CRM systems with careful architecture planning, database design, core features including contact management, deal pipeline, activity tracking, and implementation…
Score 70/100
Creates custom React hooks for SideDish. Use when the user asks to create a new hook, extract shared logic into a hook, or refactor component logic into reusable hooks.
Score 70/100
Create custom node definitions with renderers, ports, external data, and constraints. Use when implementing new node types, custom node appearances, or node-specific behaviors.
Score 70/100
Use when creating, assigning, or checking custom permissions to control feature access beyond CRUD and FLS.
Score 70/100
Architect bespoke React renderers for non-DOM environments using the `react-reconciler` package.
Score 70/100
Apply Customer.io advanced debugging and incident response. Use when diagnosing complex delivery issues, investigating campaign failures, or running incident playbooks.
Score 70/100
Configure Customer.io CI/CD integration with automated testing. Use when setting up GitHub Actions, integration test suites, or pre-commit validation for Customer.io code.
Score 70/100
Collect Customer.io debug evidence for support tickets. Use when creating support requests, investigating delivery failures, or documenting integration issues.
Score 70/100
Deploy Customer.io integrations to production cloud platforms. Use when deploying to Cloud Run, Vercel, AWS Lambda, or Kubernetes with proper secrets management and health checks.
Score 70/100
Create a minimal working Customer.io example. Use when learning Customer.io basics, testing SDK setup, or creating your first identify + track integration.
Score 70/100
Implement Customer.io load testing and horizontal scaling. Use when preparing for high traffic, running load tests, or designing queue-based architectures for scale.
Score 70/100
Configure Customer.io local development workflow. Use when setting up local testing, dev/staging isolation, or mocking Customer.io for unit tests.
Score 70/100
Configure Customer.io multi-environment setup with workspace isolation. Use when setting up dev/staging/prod workspaces, environment-aware clients, or Kubernetes config overlays.
Score 70/100
Optimize Customer.io API performance for high throughput. Use when improving response times, implementing connection pooling, batching, caching, or regional routing.
Score 70/100
Execute Customer.io production deployment checklist. Use when preparing for production launch, auditing integration quality, or performing pre-launch validation.
Score 70/100
Implement Customer.io rate limiting and backoff. Use when handling high-volume API calls, implementing retry logic, or hitting 429 errors.
Score 70/100
Implement Customer.io enterprise reference architecture. Use when designing integration layers, event-driven architectures, or enterprise-grade Customer.io setups.
Score 70/100
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU…
Score 70/100
Best practices for object detection tasks. Use when working on COCO, VOC, or detection architectures like YOLO and DETR.
Score 70/100
Google ADK (Agent Development Kit) architecture and core concepts. Covers agent types (LLM, Sequential, Parallel, Loop, Multi-agent), tool ecosystem, execution flows, deployment…
Score 70/100
Agent system taxonomy (A/B/C/D) based on capabilities - Type A (pure AI), Type B (AI+database context), Type C (AI+web grounding), Type D (AI+database+web).
Score 70/100
Overview of Clojure + Google ADK + Vertex AI development environment. Comprehensive lab for building production AI agents using Clojure as primary language, integrating Google ADK…
Score 70/100
Context management patterns for multi-source AI agents in Clojure+Vertex AI. Covers 4 context types (static/query/API/previous-result), lifecycle management…
Score 70/100
Cost optimization strategies for production AI pipelines in Clojure+Vertex AI. Covers multi-model routing (70% Gemini/20% Haiku/10% Sonnet), token optimization (prompt…
Score 70/100
Quick reference cheatsheet for libpython-clj Python interop. Includes initialization, module imports, function calls, data conversions, NumPy/Pandas/Transformers patterns, and…
Score 70/100
Cypress testing patterns, custom commands, component testing, and CI integration.
Score 70/100
Use when cypress CI/CD integration including parallelization, test recording, and media capture.
Score 70/100
Scaffolds Cypress component tests for React, Vue, and Angular apps using the Cypress CT mount API. Configures webpack/vite dev servers and generates snapshot-based visual…
Score 70/100
Implements component and E2E tests using Cypress with cy.mount, cy.intercept, and cy.get selectors. Configures cypress.config.ts with component devServer, custom commands, and…
Score 70/100
Creates component and integration tests using the Cypress Testing Library API and cy.intercept for network stubbing.
Score 70/100
Creates end-to-end tests with Cypress cy.intercept() for API mocking and cy.wait() for request assertion.
Score 70/100
Tests end-to-end avec Cypress, couvrant le setup, les commandes personnalisées, les fixtures, l'interception réseau et l'intégration CI.
Score 70/100
Cypress is an open-source browser testing framework for end-to-end, component, and accessibility testing in modern web apps.
Score 70/100
Write end-to-end tests with Cypress including browser automation, API testing, component testing, and visual regression.
Score 70/100
Use when cypress fundamentals including commands, assertions, fixtures, and E2E testing patterns.
Score 70/100
Sets up end-to-end testing with Cypress or Playwright including page objects, fixtures, and CI integration.
Score 70/100
Generates production-grade Cypress E2E and component tests in JavaScript or TypeScript. Supports local execution and TestMu AI cloud.
Score 70/100
Automates pixel-level visual regression testing using Cypress with cypress-image-snapshot plugin. Compares screenshots against baselines using pixelmatch algorithm with…
Score 70/100
Generate Drizzle ORM schemas for Cloudflare D1 databases with correct D1-specific patterns. Produces schema files, migration commands, type exports, and DATABASE_SCHEMA.md…
Score 70/100