LLM Mart Basic
@llm-mart · Joined Jun 2026
How to create new skills for this HQ — format, frontmatter, content structure. Use when you need to add a new skill to this repository, or when reviewing whether an existing skill is well-formed.
System design patterns, Clean Architecture, SOLID principles, domain modeling. Use when making architectural decisions, designing new modules, refactoring a tangled codebase, or reviewing system design.
Debugging methodology, hypothesis testing, reading stack traces, isolating issues. Use when facing an unexpected bug, a flaky test, a production incident, or any situation where the cause isn't immediately obvious.
Tailwind CSS v4 patterns, component styling, dark mode, responsive design, and design system integration. Use when styling components or reviewing CSS.
TDD red-green-refactor cycle, test structure, mocking patterns for Vitest/Jest. Use when starting a new feature, fixing a bug, or refactoring — write the test first, then the implementation.
TypeScript type system patterns, generics, utility types, and strict mode best practices. Use when writing or reviewing TypeScript code.
Web design best practices, accessibility, responsive layout, color contrast. Use when auditing a UI for a11y compliance, designing responsive layouts, or establishing design standards across a web app.
Playwright E2E patterns, Testing Library component tests, test selectors. Use when writing browser tests, component tests, or setting up an E2E testing pipeline for a Next.js or React app.
Generating Excel files with xlsx/exceljs in Node.js. Use when generating .xlsx reports, data exports, dashboards, or spreadsheets from database data.
Reports on the health and state of architecture documentation (counts of ADRs, reviews, activity levels, documentation gaps). Use when the user asks "What's our architecture status?", "Show architecture documentation", "How many ADRs do we have?", "What decisions are documented?"
Creates a NEW Architectural Decision Record (ADR) documenting a specific architectural decision. Use when the user requests "Create ADR for [topic]", "Document decision about [topic]", "Write ADR for [choice]", or when documenting technology choices, patterns, or architectural ap
Displays the roster of architecture team members with their specialties and expertise areas. Use when the user asks "Who's on the architecture team?", "List architecture members", "Show me the architects", "What specialists are available?", "Who can I ask for reviews?", or wants
Enables and configures Pragmatic Guard Mode (YAGNI Enforcement) to prevent over-engineering. Use when the user requests "Enable pragmatic mode", "Turn on YAGNI enforcement", "Activate simplicity guard", "Challenge complexity", or similar phrases.
Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation. Use when feeding test results, checking statistical significance, calculating sample sizes, analyzing experiment outcomes, or generating next tes
Designs statistically valid split tests for ads, audiences, landing pages, or bid strategies. Calculates required sample sizes before you start, monitors results during the test, and calls winners when statistical significance is actually reached — not when you feel like one is w
Evaluates your campaign and ad set structure against your actual goals and budget. Flags over-segmentation that fragments your data, under-segmentation that hides performance differences, budget allocation issues, and consolidation opportunities that would improve algorithmic del
Analyzes your top performing ads, identifies what's working in the hooks, CTAs, messaging angles, and formats, then generates new variants that follow the same winning patterns while introducing enough variation to test meaningfully. Platform: Google and Meta.
Reviews all your Google Ads extensions — sitelinks, callouts, structured snippets, call extensions, image extensions, price extensions — across every campaign. Flags what's missing, what's underperforming, what's outdated, and writes replacements based on your best performing ads
Multi-channel budget optimization using MER, marginal ROAS, and diminishing returns analysis. Use when pasting multi-channel spend and results data, requesting reallocation recommendations, analyzing budget shift priorities, or optimizing marketing efficiency across Google, Meta,
Audit how visible your brand is inside AI answers (ChatGPT, Claude, Gemini, Perplexity, AI Overviews). Claude builds a prompt panel for your category, scores where you show up vs competitors, and turns the gaps into a prioritized fix list. Platform: AI visibility.
/speckit.constitution
Speckit.constitution
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
/speckit.implement
Speckit.implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md
/speckit.plan
Speckit.plan
Execute the implementation planning workflow using the plan template to generate design artifacts.
/speckit.specify
Speckit.specify
Create or update the feature specification from a natural language feature description.
/speckit.tasks
Speckit.tasks
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
/speckit.taskstoissues
Speckit.taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
/cancel
Cancel
Cancel active execution loop and cleanup state
/implement
Implement
Start task execution loop
/start
Start
Smart entry point for new features with auto ID and branch management
/status
Status
Show current feature status and progress
/switch
Switch
Switch active feature
/cancel
Cancel
Cancel active execution safely and optionally remove the spec
/design
Design
Generate technical design from requirements
/feedback
Feedback
Submit feedback or report an issue for Ralph Specum plugin.
/help
Help
Show help for Ralph Specum plugin commands and workflow.
/implement
Implement
Start task execution loop
/index
Index
Index codebase components and external resources into searchable specs
/new
New
Create new spec and start research phase
/prototype
Prototype
Run or resume an optional prototype
/refactor
Refactor
Update spec files methodically after execution (requirements -> design -> tasks)
Make any song you can imagine
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