Daft Skills

Daft ships with built-in skills that help AI coding agents work effectively with Daft.

Available skills

Optimize User-Defined Functions for performance.

Triggers: GPU inference setup, slow UDFs, async or batch processing questions.

What it helps with:

Choosing between @daft.func (stateless), @daft.cls (stateful), and @daft.func.batch (vectorized)
Async I/O patterns for web APIs
GPU batch inference with PyTorch/model loading via @daft.cls(gpus=N)
Tuning max_concurrency, batch_size, gpus, and into_batches(N)

Scale single-node workflows to distributed execution.

Triggers: Performance optimization, handling large datasets, distributed execution.

What it helps with:

Choosing between shuffle (repartition(N)) and streaming (into_batches(N)) strategies
Calculating optimal partition counts for your cluster
Avoiding OOM errors with heavy data (images, tensors)
Advanced tuning formulas for repartitioning and streaming

Navigate Daft's documentation for APIs, concepts, and examples.

Triggers: General questions about Daft APIs, concepts, or searching the docs.

What it helps with:

Navigating key doc locations: API reference, optimization, distributed, UDFs, connectors
Searching for API usage in the docs/ directory
Browsing the docs structure via docs/SUMMARY.md

If you're working inside a Daft clone, the skills are already available. No setup needed - Claude Code picks them up from .claude/skills/.

To use these Daft skills outside the repo (across many agents including Claude Code, Cursor, Codex, Gemini CLI, Copilot, and more):

bash

# Install all skills
npx skills add Eventual-Inc/Daft

# Install a specific skill
npx skills add Eventual-Inc/Daft --skill daft-udf-tuning

Follow the prompts to choose skills, agents, scope (project or global), and whether to symlink or copy.

These Daft skills are also available as a Claude Code plugin.

bash

claude plugin marketplace add Eventual-Inc/Daft
claude plugin install daft@Eventual-Inc