Skill Claude CodeCodexCursor
AI and LLM integration for IterableData. Use when working with iterable.ai, autodoc, LLM providers, catalog, or agent-facing APIs.
Iterable Data is a Python library for reading and writing data files row by row in a consistent, iterator-based interface. It provides a unified API for working with various data formats (CSV, JSON, Parquet, XML, etc.) similar to csv.DictReader but supporting many more formats.
Skill Claude CodeCodexCursor
AI and LLM integration for IterableData. Use when working with iterable.ai, autodoc, LLM providers, catalog, or agent-facing APIs.
Skill Claude CodeCodexCursor
Guide for implementing database engines in IterableData. Use when adding support for new SQL or NoSQL databases, implementing DBDriver classes, or extending database capabilities.
Skill Claude CodeCodexCursor
Guide for implementing new data formats in IterableData. Use when adding support for new file formats, compression codecs, or extending format capabilities.
Skill Claude CodeCodexCursor
Core development workflows, patterns, and conventions for IterableData. Use when implementing features, fixing bugs, or working with the codebase structure.
Skill Claude CodeCodexCursor
OpenSpec proposal creation, validation, and implementation workflows. Use when creating change proposals, implementing specs, or working with OpenSpec conventions.
Skill Claude CodeCodexCursor
Testing conventions, patterns, and best practices for IterableData. Use when writing tests, debugging test failures, or establishing test coverage.
Skill Claude CodeCodex
Generates Python code that reads, writes, converts, and inspects data files with IterableData (pip install iterabledata; import iterable). Use when opening CSV, JSONL, Parquet, XML, WARC, GeoJSON, or other files; converting formats; streaming large files without pandas; or when the user mentions iterabledata…