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Found 434 Skills
This skill provides comprehensive knowledge for building static websites with Hugo static site generator. It should be used when setting up Hugo projects (blogs, documentation sites, landing pages, portfolios), integrating Tailwind CSS v4 for custom styling, integrating headless CMS systems (Sveltia CMS or TinaCMS), deploying to Cloudflare Workers with Static Assets, configuring themes and templates, and preventing common Hugo setup errors. Use this skill when encountering these scenarios: scaffolding new Hugo sites, choosing between Hugo Extended and Standard editions, integrating Tailwind CSS v4 with Hugo Pipes, configuring hugo.yaml or hugo.toml files, integrating PaperMod or other themes via Git submodules, setting up Sveltia CMS or TinaCMS for content management, deploying to Cloudflare Workers or Pages, troubleshooting baseURL configuration, resolving theme installation errors, fixing frontmatter format issues (YAML vs TOML), preventing date-related build failures, setting up PostCSS with Hugo, or setting up CI/CD with GitHub Actions. Keywords: hugo, hugo-extended, static-site-generator, ssg, go-templates, papermod, goldmark, markdown, blog, documentation, docs-site, landing-page, sveltia-cms, tina-cms, headless-cms, cloudflare-workers, workers-static-assets, wrangler, hugo-server, hugo-build, frontmatter, yaml-frontmatter, toml-config, hugo-themes, hugo-modules, multilingual, i18n, github-actions, version-mismatch, baseurl-error, theme-not-found, tailwind, tailwind-v4, tailwind-css, hugo-pipes, postcss, css-framework, utility-css, hugo-tailwind, tailwind-integration, hugo-assets
Semantic content auditor (L3 Worker). Verifies document content matches stated SCOPE, aligns with project goals, and reflects actual codebase state. Called by ln-600 for each project document. Returns scope_alignment and fact_accuracy scores with findings.
Application lifecycle audit worker (L3). Checks bootstrap initialization order, graceful shutdown, resource cleanup, signal handling, liveness/readiness probes. Returns findings with severity, location, effort, recommendations.
Creates test documentation (testing-strategy.md + tests/README.md). Establishes testing philosophy and Story-Level Test Task Pattern. L2 Worker in ln-100-documents-pipeline workflow.
Test suite audit coordinator (L2). Delegates to 5 workers (Business Logic, E2E, Value, Coverage, Isolation). Aggregates results, creates Linear task in Epic 0.
Coordinates project documentation creation. Gathers context once, detects project type, delegates to 5 L3 workers (ln-111-115). L2 Coordinator invoked by ln-100.
Multi-agent coordination patterns for OpenCode swarm workflows. Use when work benefits from parallelization or coordination. Covers: decomposition, worker spawning, file reservations, progress tracking, and review loops.
Backend AI functionality with Vercel AI SDK v5 - text generation, structured output with Zod, tool calling, and agents. Multi-provider support for OpenAI, Anthropic, Google, and Cloudflare Workers AI. Use when: implementing server-side AI features, generating text/chat completions, creating structured AI outputs with Zod schemas, building AI agents with tools, streaming AI responses, integrating OpenAI/Anthropic/Google/Cloudflare providers, or encountering AI SDK errors like AI_APICallError, AI_NoObjectGeneratedError, streaming failures, or worker startup limits. Keywords: ai sdk core, vercel ai sdk, generateText, streamText, generateObject, streamObject, ai sdk node, ai sdk server, zod ai schema, ai tools calling, ai agent class, openai sdk, anthropic sdk, google gemini sdk, workers-ai-provider, ai streaming backend, multi-provider ai, ai sdk errors, AI_APICallError, AI_NoObjectGeneratedError, streamText fails, worker startup limit ai
This skill provides comprehensive knowledge for working with the Anthropic Messages API (Claude API). It should be used when integrating Claude models into applications, implementing streaming responses, enabling prompt caching for cost savings, adding tool use (function calling), processing images with vision capabilities, or using extended thinking mode. Use when building chatbots, AI assistants, content generation tools, or any application requiring Claude's language understanding. Covers both server-side implementations (Node.js, Cloudflare Workers, Next.js) and direct API access. Keywords: claude api, anthropic api, messages api, @anthropic-ai/sdk, claude streaming, prompt caching, tool use, vision, extended thinking, claude 3.5 sonnet, claude 3.7 sonnet, claude sonnet 4, function calling, SSE, rate limits, 429 errors
Use this skill for Next.js App Router patterns, Server Components, Server Actions, Cache Components, and framework-level optimizations. Covers Next.js 16 breaking changes including async params, proxy.ts migration, Cache Components with "use cache", and React 19.2 integration. For deploying to Cloudflare Workers, use the cloudflare-nextjs skill instead. This skill is deployment-agnostic and works with Vercel, AWS, self-hosted, or any platform. Keywords: Next.js 16, Next.js App Router, Next.js Pages Router, Server Components, React Server Components, Server Actions, Cache Components, use cache, Next.js 16 breaking changes, async params nextjs, proxy.ts migration, React 19.2, Next.js metadata, Next.js SEO, generateMetadata, static generation, dynamic rendering, streaming SSR, Suspense, parallel routes, intercepting routes, route groups, Next.js middleware, Next.js API routes, Route Handlers, revalidatePath, revalidateTag, next/navigation, useSearchParams, turbopack, next.config
This skill provides comprehensive knowledge for integrating Neon serverless Postgres and Vercel Postgres (which is built on Neon infrastructure) into web applications. It should be used when setting up serverless Postgres databases, configuring connection pooling for edge and serverless environments, implementing database branching workflows, or troubleshooting Postgres connection issues in Cloudflare Workers, Vercel Edge Functions, or Node.js serverless functions. Use this skill when: - Setting up Neon Postgres for Cloudflare Workers, Vercel Edge, or serverless environments - Configuring Vercel Postgres for Next.js applications - Implementing database branching workflows (git-like database branches) - Integrating Drizzle ORM or Prisma with Neon/Vercel Postgres - Debugging connection pool errors, transaction timeouts, or SSL configuration issues - Migrating from D1/SQLite to Postgres or from traditional Postgres to serverless Postgres - Setting up point-in-time restore (PITR) or database backups - Encountering errors like "connection pool exhausted", "TCP connections not supported in serverless", or "sslmode required" Keywords: neon postgres, @neondatabase/serverless, @vercel/postgres, serverless postgres, postgres edge, neon branching, vercel database, http postgres, websocket postgres, pooled connection, drizzle neon, prisma neon, postgres cloudflare, postgres vercel edge, sql template tag, neonctl, database branches, point in time restore, postgres migrations, serverless sql, edge database, neon api, vercel sql
Complete guide for OpenAI's traditional/stateless APIs: Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes both Node.js SDK and fetch-based approaches for maximum compatibility. Use when: integrating OpenAI APIs, implementing chat completions with GPT-5/GPT-4o, generating text with streaming, using function calling/tools, creating structured outputs with JSON schemas, implementing embeddings for RAG, generating images with DALL-E 3, transcribing audio with Whisper, synthesizing speech with TTS, moderating content, deploying to Cloudflare Workers, or encountering errors like rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded. Keywords: openai api, chat completions, gpt-5, gpt-5-mini, gpt-5-nano, gpt-4o, gpt-4-turbo, openai sdk, openai streaming, function calling, structured output, json schema, openai embeddings, text-embedding-3, dall-e-3, image generation, whisper api, openai tts, text-to-speech, moderation api, openai fetch, cloudflare workers openai, openai rate limit, openai 429, reasoning_effort, verbosity