Generate models, endpoints, UI forms, and validation.

Use when working with Crystal language development including WebSocket communication, TLS/SSL configuration, HTTP frameworks, ORM operations, and high-performance concurrent systems.

Use this skill when working with the Crystal programming language. Crystal is a statically-typed, compiled language with Ruby-like syntax. It features type inference, null safety, macros, and compiles to efficient native code. Use for understanding Crystal's standard library, syntax, semantics, concurrency model, and FFI bindings.

Analyze CS2 demo files and generate comprehensive tactical reports

Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Invoke for Entity Framework Core, minimal APIs, async patterns, CQRS with MediatR.

Compiler-accurate semantic analysis for C# using Roslyn APIs. **Not text search** - understands C# semantics.

C# static analysis tool for call graphs, unused code detection, impact analysis, HTML documentation generation, and Graphviz diagram export

name: Cross-Site Request Forgery (CSRF) Testing

Modern CSS organization with native @import, @layer cascade control, CSS nesting, design tokens, and element-focused selectors. AUTO-INVOKED when editing .css files.

Systematically find and replace ALL hardcoded hex values with proper CSS design tokens to ensure complete color consistency across the Pomo-Flow application. This skill addresses the critical issue of yellow vs orange medium priority colors by enforcing a unified design token system based on industry best practices from Atlassian, Salesforce, and enterprise design systems.

Comprehensive workflow for CSS development using Tailwind + semantic component patterns. This skill automatically routes you to the appropriate specialized workflow based on context.

Analyze CSS coverage, identify unused rules, and detect stylesheet conflicts. Use after visual QA to optimize stylesheets before publication.

Validate and audit CSV data for quality, consistency, and completeness. Use when you need to check CSV files for data issues, missing values, or format inconsistencies.

Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.

Expert methodology for making and documenting critical architectural decisions using ADRs, trade-off analysis, migration planning, and technical debt management.

Perform deep, expert-level codebase and architecture audits to identify technical strengths, weaknesses, risks, and opportunities. Use when a user asks for an assessment of a codebase's structure, quality, or readiness for scale. Deliver detailed, actionable, and prioritized recommendations grounded in engineering best practices.

Expert methodology for identifying, assessing, and mitigating technical and operational risks including security, incidents, compliance, and disaster recovery.

Expert methodology for creating strategic technology roadmaps aligned with business goals, including multi-horizon planning, capacity planning, and OKR frameworks.

Run CTS test suites and investigate failures

Generate daily and weekly planning reports from backlog and carryover state, applying WIP limits and priority rules from BaseContext.yaml, with automatic git commit/push.

Comprehensive guide for building Computer Use Agents with the CUA framework. This skill should be used when automating desktop applications, building vision-based agents, controlling virtual machines (Linux/Windows/macOS), or integrating computer-use models from Anthropic, OpenAI, or other providers. Covers Computer SDK (click, type, scroll, screenshot), Agent SDK (model configuration, composition), supported models, provider setup, and MCP integration.

Cucumber best practices, patterns, and anti-patterns

Modern CSS standards covering essentials, responsive design, quality practices, and tooling for CUI projects

General documentation standards for README, AsciiDoc, and technical documentation

CDI and Quarkus development standards for CUI projects, including CDI aspects, container configuration, testing, and native optimization

Core Java development standards for CUI projects including coding patterns, null safety, Lombok, modern features, and logging

CUI Java unit testing standards and patterns with JUnit 5, generators, and value object testing

CUI JavaDoc documentation standards for Java classes, methods, and code examples

Standards for identifying, prioritizing, and verifying JavaScript code maintenance and refactoring work

JavaScript project structure, package.json configuration, dependency management, and Maven integration standards for consistent project setup and builds

Jest unit testing standards covering configuration, test structure, testing patterns, and coverage requirements

JSDoc documentation standards for JavaScript functions, classes, modules, and web components

Maintain and synchronize requirements and specifications with comprehensive validation

Master team culture, psychological safety, engagement, communication, and inclusion for engineering teams

Synthesize Reflector insights into structured delta proposals for playbook updates, following ACE paper's Curator architecture

Update CURRENT-FOCUS.md by combining Linear cycle data, git history, test results, and chat context analysis. Prioritize work and identify gaps.

Design valid assessments aligned to learning objectives and create rubrics with clear performance criteria following backwards design principles.

Create diverse, well-constructed assessment items that validly measure learning objectives with proper alignment, difficulty, and quality standards.

Create IMS Common Cartridge 1.3 packages with complete course structure, QTI 2.1 assessments, LTI tool integration, and gradebook setup for maximum interoperability across LMS platforms.

Best practices for using Cursor—rules, commands, skills, subagents, ignore files, Agent security, workflows, and community resources. Use when setting up Cursor, initializing or creating the .cursor folder, writing .cursor/rules or AGENTS.md, creating commands or skills, configuring .cursorignore, working with Agent, discovering rules or MCPs (e.g. cursor.directory), making codebases cursor-compatible, or asking about Cursor workflows, TDD, git commands, or large codebases.

> *"You can't think about thinking without thinking about thinking about something."*

Synchronizes Cursor Rules (.mdc files in .cursor/rules/) to CLAUDE.md by generating a Rules section with context-efficient descriptions and usage instructions. Use when setting up Cursor Rules for the first time, after adding or modifying rules, or when the Rules section in CLAUDE.md is missing or outdated.

Create Cursor IDE rules in .mdc format with proper frontmatter, glob patterns, and cross-references. Covers rule structure, file organization, triggering mechanisms, and quality standards. Use when creating or modifying Cursor rules for context injection.

This skill should be used when creating or editing Cursor rules files (.mdc format) in the .cursor/rules directory. Provides guidance on rule types, frontmatter configuration, effective rule writing patterns, and best practices for structuring AI instructions for Cursor IDE.

You are an expert in creating Agent Skills following Cursor's pattern.

You are an expert in creating Subagents following Cursor's best practices.

Customer-facing documentation

Create expansion roadmaps, QBR templates, and upsell playbooks to grow existing customer revenue through strategic account development.

Comprehensive customer feedback framework including NPS, CSAT, CES surveys, exit interviews, user research, feature request management with RICE prioritization, feedback analysis, close-the-loop processes, and 90-day implementation roadmap for Voice of Customer programs

Gathering, analyzing, and acting on user input through surveys, feedback widgets, rating systems, sentiment analysis, and integration with product roadmap to improve products and services.