Explorar skills

Learn From the Best — analyze patterns from any codebase and apply them to yours. Use when user wants to adopt best practices from another repo, compare code quality, or learn how top projects are structured.

Root cause investigation — structured debugging with module freeze. No fixes without investigation. Use when encountering any bug, error, or unexpected behavior.

Pre-flight checks then deploy. Validates env vars, migrations, bundle size, runs /ship audit, then deploys via git push or platform CLI.

Post-deploy canary monitoring — checks site health, detects regressions, monitors for errors after deployment. Use after deploying to verify production is healthy.

Code review with principal-engineer-level depth. Reviews for correctness, performance, security, maintainability, and architecture. Use when completing tasks, reviewing PRs, or before merging.

Generate changelog from commits, bump version, create GitHub release, publish to npm. Use when user wants to release, publish, or ship a new version.

Launch Day Autopilot — prepare everything for a product launch. Use when user wants to launch, go live, announce, or prepare for Product Hunt / Hacker News / social media launch.

Comprehensive SEO analysis skill for content optimization. Use when the user asks to perform SEO analysis, keyword research, content gap analysis, search intent analysis, or wants to optimize content for search engines. Covers topic-based keyword research (informational supply and search demand), website/document analysis, and actionable SEO recommendations. Works best with InfraNodus MCP tools fo

Text network analysis, knowledge graphs, content gap detection, SEO/GEO optimization, structured memory, and text comparison via the InfraNodus MCP server (mcporter). Use when asked to: analyze text structure, generate knowledge graphs, find content gaps, generate research questions or ideas, compare texts, optimize text/content for SEO, analyze Google search results/queries, retrieve from a knowl

Audit competitors using ScaleBrick's 3-surface framework (social, web/pages, SEO). Categorizes their pricing, features, and landing pages. Identifies gaps you can exploit, positioning angles no one is claiming, and specific moves you can make this week.

Generate and maintain llms.txt and llms-full.txt — the emerging standard telling LLM-powered crawlers what content matters most on your site. Use when the user asks "llms.txt", "llms-full.txt", "LLM-friendly file", "tell AI crawlers about my site", "AI-readable manifest", "site summary for LLMs", "llms file", "generative AI sitemap", or wants their site optimized for AI crawler ingestion.

Fast-path AI visibility — get a brand's 0–100 Akii Visibility Score (computed by an open-source LLM judge against the brand's public footprint) with four-dimension breakdown AND a per-engine proxy map for ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google AI Overviews based on FirstPageSage signal weights. Single-turn fast path. This is the default for any AI-visibility question. Use when th