feat: add Claude Code skill for Data Designer library

AGENTS.md

@@ -507,6 +507,8 @@ When working with column configurations, understand these key types:
 - **`ExpressionColumnConfig`**: Expression-based derived columns (Python eval or Jinja2)
 - **`ValidationColumnConfig`**: Validation results (Python, SQL, Code, Remote validators)
 - **`SeedDatasetColumnConfig`**: Data from seed datasets
+- **`EmbeddingColumnConfig`**: Embedding generation for text columns using a specified model
+- **`CustomColumnConfig`**: Custom user-defined column generators via `@custom_column_generator` decorator
 
 See [packages/data-designer-config/src/data_designer/config/column_configs.py](packages/data-designer-config/src/data_designer/config/column_configs.py) for detailed schemas.
 

packages/data-designer-config/src/data_designer/config/__init__.py

@@ -60,6 +60,8 @@
     from data_designer.config.run_config import RunConfig  # noqa: F401
     from data_designer.config.sampler_constraints import (  # noqa: F401
         ColumnInequalityConstraint,
+        ConstraintType,
+        InequalityOperator,
         ScalarInequalityConstraint,
     )
     from data_designer.config.sampler_params import (  # noqa: F401
@@ -168,6 +170,8 @@
     "RunConfig": (f"{_MOD_BASE}.run_config", "RunConfig"),
     # sampler_constraints
     "ColumnInequalityConstraint": (_MOD_SAMPLER_CONSTRAINTS, "ColumnInequalityConstraint"),
+    "ConstraintType": (_MOD_SAMPLER_CONSTRAINTS, "ConstraintType"),
+    "InequalityOperator": (_MOD_SAMPLER_CONSTRAINTS, "InequalityOperator"),
     "ScalarInequalityConstraint": (_MOD_SAMPLER_CONSTRAINTS, "ScalarInequalityConstraint"),
     # sampler_params
     "BernoulliMixtureSamplerParams": (_MOD_SAMPLER_PARAMS, "BernoulliMixtureSamplerParams"),

skill/README.md

@@ -0,0 +1,79 @@
+# Data Designer Skill for Claude Code
+
+A [Claude Code skill](https://docs.anthropic.com/en/docs/claude-code/skills) that teaches Claude how to generate synthetic datasets using [NVIDIA NeMo Data Designer](https://github.com/NVIDIA-NeMo/DataDesigner).
+
+When activated, Claude can design and build complete data generation pipelines — choosing the right column types, writing prompts, wiring up dependencies, and iterating on previews — all from a natural language description of the dataset you want.
+
+## What's in the skill
+
+```
+.claude/skills/data-designer/
+├── SKILL.md                 # Core skill definition and workflow guide
+├── references/
+│   ├── api_reference.md     # Complete API documentation
+│   └── advanced_patterns.md # Custom columns, MCP tools, multimodal, etc.
+├── examples/                # 5 runnable pattern-reference scripts
+├── scripts/                 # Discovery tools for API introspection
+└── hooks/                   # Session startup check, ruff lint, ty type-check
+```
+
+## Prerequisites
+
+- **[uv](https://docs.astral.sh/uv/getting-started/installation/)** — used for environment management and required by the skill's session hooks
+- **[Claude Code](https://docs.anthropic.com/en/docs/claude-code/overview)** — the CLI that runs the skill
+- **Python 3.10+** — any version from 3.10 to 3.13 works (`uv` will install it for you)
+- **An LLM provider API key** — e.g., an [NVIDIA API key](https://build.nvidia.com/) (`NVIDIA_API_KEY`)
+
+## Quick start
+
+### 1. Set up a project and download the skill
+
+```bash
+mkdir my-project && cd my-project
+mkdir -p .claude/skills
+```
+
+Download the `skill/data-designer` folder into `.claude/skills/data-designer`:
+
+```bash
+# with curl
+curl -L https://github.com/NVIDIA-NeMo/DataDesigner/archive/refs/heads/main.tar.gz \
+  | tar xz --strip-components=2 -C .claude/skills "DataDesigner-main/skill/data-designer"
+
+# or with wget
+wget -qO- https://github.com/NVIDIA-NeMo/DataDesigner/archive/refs/heads/main.tar.gz \
+  | tar xz --strip-components=2 -C .claude/skills "DataDesigner-main/skill/data-designer"
+```
+
+### 2. Create a Python environment and install Data Designer
+
+```bash
+uv venv --python 3.13
+source .venv/bin/activate
+uv pip install --pre data-designer
+```
+
+> **Note:** The `--pre` flag installs the latest pre-release.
+
+### 3. Set up your default model providers and models
+
+Use the Data Designer CLI to configure your LLM provider(s) and model(s) interactively:
+
+```bash
+# Configure a provider (endpoint, API key, etc.)
+data-designer config providers
+
+# Configure model(s) that use the provider
+data-designer config models
+
+# Verify your configuration
+data-designer config list
+```
+
+The CLI walks you through each setting with an interactive prompt. You only need to do this once — configurations are saved to `~/.data-designer/`.
+
+### 4. Launch Claude Code
+
+```bash
+claude
+```