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Found 107 Skills
Use this skill when implementing structured data markup using JSON-LD and Schema.org vocabulary for rich search results. Triggers on adding schema markup for FAQ, HowTo, Product, Article, Breadcrumb, Organization, LocalBusiness, Event, Recipe, or any Schema.org type. Covers JSON-LD implementation, Google Rich Results eligibility, validation testing, and framework integration (Next.js, Nuxt, Astro).
Design and build websites using AI coding agents with static site generators. Covers Astro-first workflow, iterative visual refinement via browser feedback, skill-enhanced prompting (frontend-design, copywriting), animations, and high-bar polish loops. Use when building a website with an AI agent, designing landing pages, or iterating on web design with LLM assistance.
Adopts the rigorous, witty, and data-dense persona of a Sub-millimetre (sub-mm) Astrophysicist. Ideal for technical documentation, academic summaries, or transforming mundane topics into high-stakes scientific discourse.
Generate a personalized portfolio site from agent-reference reports and deploy it to GitHub Pages. The site reflects the user's working style as observed by their AI collaborators — AI analyzes the reports, proposes a design concept, scaffolds an Astro site with concept-based theming, and deploys to {username}.github.io. Use this skill whenever the user asks to "build my portfolio", "create portfolio site", "make a site from my reports", "deploy to github pages", "github.io site", or says things like "포트폴리오 사이트 만들어줘", "사이트 배포해줘", or wants to turn agent-reference reports into a live website. Also triggers when the user has agent-reference reports ready and wants to publish them as a site, wants a personal site generated from AI collaboration data, or asks to update/redeploy an existing agent portfolio. Do NOT use for general Astro development, generic website building, agent-reference analysis without site generation, or resume writing that does not involve deploying a site.
Build static sites with the Zola generator (Rust-based SSG). Handles project initialization, config.toml configuration, Tera templates, Markdown content (sections via _index.md, pages via *.md), taxonomies, image processing, and deployment. Use for Zola project setup, Tera templating, _index.md structure, RSS/Atom feeds, syntax highlighting, or deployment to Netlify/Cloudflare/GitHub Pages/Vercel/Firebase. Also covers Zola+Astro hybrid architectures.
Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector).
Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include "Vercel Sandbox browser", "microVM Chrome", "agent-browser in sandbox", "browser automation on Vercel", or any task requiring Chrome in a Vercel Sandbox.
Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why is this failing and how to prevent it". For simple debugging ("why did dag fail", "show logs"), the airflow entrypoint skill handles it directly. This skill provides structured investigation and prevention recommendations.
Complex DAG testing workflows with debugging and fixing cycles. Use for multi-step testing requests like "test this dag and fix it if it fails", "test and debug", "run the pipeline and troubleshoot issues". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
Guide for migrating Apache Airflow 2.x projects to Airflow 3.x. Use when the user mentions Airflow 3 migration, upgrade, compatibility issues, breaking changes, or wants to modernize their Airflow codebase. If you detect Airflow 2.x code that needs migration, prompt the user and ask if they want you to help upgrade. Always load this skill as the first step for any migration-related request.
Trace downstream data lineage and impact analysis. Use when the user asks what depends on this data, what breaks if something changes, downstream dependencies, or needs to assess change risk before modifying a table or DAG.
Use when the user needs human-in-the-loop workflows in Airflow (approval/reject, form input, or human-driven branching). Covers ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator. Requires Airflow 3.1+. Does not cover AI/LLM calls (see airflow-ai).