market-research
Conduct market research, competitive analysis, and industry intelligence. Use when the user wants market sizing, competitor comparisons, OSS landscape scans, distribution analysis, or research that informs build-or-skip decisions.
Killer-Skillsディレクトリで数千のAI Agentスキルを探索・インストール。Claude Code、Windsurf、Cursorなどに対応。
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Conduct market research, competitive analysis, and industry intelligence. Use when the user wants market sizing, competitor comparisons, OSS landscape scans, distribution analysis, or research that informs build-or-skip decisions.
Smoke testing validates UX by checking tool responses and output clarity, benefiting developers using AI coding assistants like Claude Code or Cursor. It helps ensure a smooth workflow.
create-adrスキル:MADR形式のアーキテクチャ決定レコードを作成するためのスキル
Equine care management platform for stables - track horses, vaccinations, worm tests, treatments, and automated notifications
Error handling patterns for stock_picker_bot using FastAPI exception handlers, try/except blocks, and logging. Covers API errors, database failures, yfinance failures, and LLM API errors.
React 19 and Next.js 16 performance optimization for the Arcanea platform. Use when writing, reviewing, or refactoring React components, data fetching logic, bundle optimization, or any frontend performance work. Triggers on: React components, Next.js pages, hooks, data fetching, bundle size, re-renders, Server Components, Client Components, hydration. Sourced from Vercel Engineerings official React best practices (57 rules, 8 categories) and adapted for the Arcanea stack.
Enforce API design rules when adding or changing endpoints. Apply REST conventions, versioning, deduplication semantics, OpenAPI documentation.
Build, refactor, and review Stratify platform features while enforcing cache-first market-data flows, tab preloading, terminal-pro dark UI patterns, Vercel serverless API architecture, and production delivery conventions. Use when work touches Stratify dashboard components, API routes, strategy builder behavior, market data streaming, deployment readiness, or AI search result rendering.
Draft sorryd theorem/lemma structure for a larger result from a proof sketch.
AIエージェントのリリース手順は、バージョンの公開と管理を自動化するための手順
meta-skill-catalogはAIエージェントのワークフローシステム
Agent OS, with Agentic Mesh capabilities with Qorelogic governance and recursive learning protocol intended for native integration with Zo.computer