Multi-file
codingOfficial
Official Provider SkillView 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'.
Files2 files
SKILL.md287 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the archive and add the files to your project manually.
Skill details
Versionv1.0.0
AuthorLangChain AI
Categorycoding
Skill IDlangchain-ai/macaw-design-system/.agents/skills/nx-workspace
Files2 files
Related skills
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.