Çoklu dosya
codingResmi
Resmi Sağlayıcı Skill'iView repo
Explore and understand Nx workspaces. USE WHEN answering questions about the workspace, projects, or tasks. ALSO USE WHEN an nx command fails or you need to check available targets/configuration before running a task. EXAMPLES: 'What projects are in this workspace?', 'How is project X configured?', 'What depends on library Y?', 'What targets can I run?', 'Cannot find configuration for task', 'debug nx task failure'.
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SKILL.md287 satır
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Kurulum
ÖnerilenTek komut — ajanınız otomatik olarak devreye alır.
Kurulum komutunu görmek için yukarıdan bir AI aracı seçin.
veya
Manuel Kurulum
Daha fazla adımArşivi indirin ve dosyaları projenize manuel olarak ekleyin.
Skill detayları
Versiyonv1.0.0
YazarLangChain AI
Kategoricoding
Skill IDlangchain-ai/macaw-design-system/.agents/skills/nx-workspace
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1.0.0 Beta.0Link workspace packages in monorepos (npm, yarn, pnpm, bun). USE WHEN: (1) you just created or generated new packages and need to wire up their dependencies, (2) user imports from a sibling package and needs to add it as a dependency, (3) you get resolution errors for workspace packages (@org/*) like "cannot find module", "failed to resolve import", "TS2307", or "cannot resolve". DO NOT patch around with tsconfig paths or manual package.json edits - use the package manager's workspace commands tDesign SystemBuild or change @langchain/macaw-components components, tokens, styles, icons, stories, package exports, or documentation in this repository. Use for package work, not product-specific UI in a consuming application.Code ReviewPerform a structured code review of changes, checking for correctness, style, tests, and potential issues.Coding PrefsRead the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.Langgraph DocsFetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.PlanningBreak down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.