hybridlabor-api

Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.

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Master TypeScript with advanced types, generics, and strict type safety. Handles complex type systems, decorators, and enterprise-grade patterns.

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Audit technical SEO across crawlability, indexability, security, URLs, mobile, Core Web Vitals, structured data, JavaScript rendering, and related platform signals like robots.txt and AI crawler access.

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RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.

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Comprehensive design guide for web and mobile applications. Use when designing new UI components or pages, choosing color palettes and typography, or reviewing code for UX issues.

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Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

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Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.

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Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.

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Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)

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Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.

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Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

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Use when context window output compression engine for CLI commands (60-99% token reduction).

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Expert tmux session, window, and pane management for terminal multiplexing, persistent remote workflows, and shell scripting automation.

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Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.

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Use when executing implementation plans with independent tasks in the current session — trigger phrases "execute the plan", "independent tasks", "parallel tasks", "subagents for the plan","split the plan into subagents". Dispatches a fresh subagent per task with two-stage review after each: spec compliance first, then code quality.

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Configure and synchronize multi-harness subagents (Claude Code, Google Antigravity, OpenCode, ChatGPT Codex CLI) with optional per-harness model overrides and single source of truth in .aos/pipeline.json.

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Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

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Run a broad SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO. Use as the umbrella skill when the user asks for a full SEO analysis or strategy.

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Review a diff for clarity and safe simplifications, then optionally apply low-risk fixes.

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Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

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Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.

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Use when building React components, optimizing Next.js performance, implementing accessibility, or reviewing frontend code quality for modern web applications.

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

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Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.

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