Design

Write git commits that tell a story using clear structure and product-focused messaging. Use when creating commits to ensure they maintain historical context and aid code review.

This skill should be used when the user asks about "rust workspace", "rust best practices", "cargo workspace setup", "rust code organization", "rust dependency management", "rust testing strategy", "rust project", "scalable rust", "rust CI setup", or needs guidance on senior-level Rust development patterns, workspace design, code organization strategies, or production-ready Rust architectures.

Refactor HTML/TSX files to use existing UI components, DaisyUI classes, and semantic colors. Use when (1) refactoring React/TSX page components to use reusable UI components, (2) replacing raw HTML elements with component library equivalents, (3) converting primitive Tailwind colors to semantic DaisyUI colors, (4) extracting repeated styling patterns into components.

Visual and front-end development assistant powered by Google Gemini 3. Use for UI analysis, design comparison, accessibility audits, color palette extraction, screenshot-to-code conversion, generating UI assets, and text-based design assistance from briefs.

Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-stage workflow.

Use this skill to analyze, improve, and enforce accessibility (a11y) + SEO best practices for Next.js projects using App Router, TypeScript, Tailwind & shadcn/ui. Applies when auditing components, routes, pages, metadata, semantics, or performance-impacting SEO issues.

Plans a new feature, fix, or refactor by clarifying requirements, creating a dedicated branch, and generating or updating PLAN.md, CONTEXT.md, CHECKLIST.md, and LESSONS-LEARNED.md. Use at the beginning of any new work.

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Reusable HTML page patterns and component blocks. Use when building common page types like FAQs, product listings, press releases, or other structured content.

Ollama LLM inference server management via Podman Quadlet. Single-instancedesign with GPU acceleration for running local LLMs. Use when users needto configure Ollama, pull models, run inference, or manage the Ollama server.

For complex problems where user context is insufficient, systematically elicit information through adaptive prompt patterns. Combines five complementary patterns (Flipped Interaction, Cognitive Verifier, Question Refinement, Reflection, Context Manager) to clarify requirements, verify understanding, and manage context dynamically.

Master requirements gathering, user story writing, acceptance criteria definition, and scope management. Transform insights into clear, actionable specifications.

Use this skill when gathering requirements for new BigQuery data models OR when asked to edit existing queries in bqetl. For new models, guides structured requirements interviews. For existing queries, understands current model, checks downstream dependencies, and gathers requirements for changes. Works as pre-planning before query-writer skill.

Builds that don't die after 2 minutes. Tasks survive restarts.

Orchestrate experimental procedure generation from LA-Bench format input. This skill orchestrates file I/O and delegates procedure generation logic to experiment-procedure-generator subagent. Use this skill when you need to generate step-by-step experimental procedures with quantitative specifications and proper experimental design.

Handle user interaction with map features including popups, editing, sketching, and event handling. Use for creating interactive map applications with feature selection, editing workflows, and custom interactions.

Review code against PRISM target architecture patterns from REFACTORING_DESIGN_DOCUMENT.md. This skill should be used during refactoring to ensure new Runner and Trainer classes follow AbstractRunner/AbstractTrainer patterns.

AI-powered enterprise Claude Code hooks orchestrator with intelligent automation, predictive maintenance, ML-based optimization, and Context7-enhanced workflow patterns. Use when designing smart hook systems, implementing AI-driven automation, optimizing hook performance with machine learning, or building enterprise-grade workflow orchestration with automated compliance and monitoring.

Use this skill when the user needs help creating, testing, validating, or troubleshooting Detection & Response (D&R) rules in LimaCharlie.

AI agent skill for implementing evidence-based UI improvements. Use when tasked with UI audits, design system implementation, accessibility fixes, or frontend optimization. Provides step-by-step workflows, code patterns, and validation criteria for automated execution. Triggers on UI review, accessibility audit, design system setup, CSS refactoring, form optimization, button hierarchy, color contrast, spacing system, typography scale, or WCAG compliance tasks.