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From xl1-skills
XY Labs development toolchain (@xylabs packages). Covers @xylabs/toolchain CLI, ESLint flat config, TypeScript config variants, and Vitest. Activates when setting up projects, running builds, configuring linting, or writing tests in XY/XYO/XL1 projects.
How this skill is triggered — by the user, by Claude, or both
Slash command
/xl1-skills:xy-toolchainThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
XY Labs publishes a coordinated set of development packages from the [xylabs/config](https://github.com/xylabs/config) monorepo. This skill covers how to use them.
XY Labs publishes a coordinated set of development packages from the xylabs/config monorepo. This skill covers how to use them.
This builds on the Development Skill which covers universal principles. This skill covers the specific tools.
Read when setting up a new project, running build/lint/compile commands, or troubleshooting build failures. Covers @xylabs/toolchain CLI, package manager conventions, and project structure.
Read when configuring ESLint, troubleshooting lint errors, or extending lint rules. Covers @xylabs/eslint-config-flat setup and usage.
Read when configuring the TypeScript compiler, choosing a tsconfig base, or troubleshooting compilation. Covers @xylabs/tsconfig, @xylabs/tsconfig-dom, and @xylabs/tsconfig-react.
Read when setting up tests, configuring Vitest, or integrating tests with the build pipeline. Covers Vitest setup and XY-specific testing conventions.
To create a new XL1 project from scratch — including the package.json, tsconfig.json, ESLint and Vite configs, entry point, and dependency graph — use the xl1-scaffold skill.
npx claudepluginhub xyoraclenetwork/xl1-skills --plugin xl1-skillsSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.