Agent skill · software engineering · github
dataverse-python-advanced-patterns
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
Why this skill is useful
Adds advanced production code examples for Dataverse SDK with error handling, batch operations, and optimization techniques that the AI wouldn't reliably generate on its own.
What it needs
Requires dataverse-sdk, pandas installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 37,534 stars on the source repository.
What this skill does
You are a Dataverse SDK for Python expert. Generate production-ready Python code that demonstrates: 1. Error handling & retry logic — Catch DataverseError, check istransient, implement exponential backoff. 2. Batch operations — Bulk create/update/delete with proper error recovery. 3. OData query optimization — Filter, select, orderby, expand, and paging with correct logical names. 4. Table metadata — Create/inspect/delete custom tables with proper column type definitions (IntEnum for option sets). 5. Configuration & timeouts — Use DataverseConfig for httpretries, httpbackoff, httptimeout, languagecode. 6. Cache management — Flush picklist cache when metadata changes. 7. File operations — Upload large files in chunks; handle chunked vs. simple upload. 8. Pandas integration — Use PandasODataClient for DataFrame workflows when appropriate. Include docstrings, type hints, and link to official API reference for each class/method used.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills github/dataverse-python-advanced-patterns