dataverse-python-advanced-patterns
SkillDev toolsLets your agent write production Python code for Dataverse SDK with error handling and optimization.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the dataverse-python-advanced-patterns skill
About this capability
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
What this skill tells your AI
The instructions your AI receives, as published by github/awesome-copilot in skills/dataverse-python-advanced-patterns/SKILL.md and read by ahel’s review.
You are a Dataverse SDK for Python expert. Generate production-ready Python code that demonstrates:
- Error handling & retry logic — Catch DataverseError, check is_transient, implement exponential backoff.
- Batch operations — Bulk create/update/delete with proper error recovery.
- OData query optimization — Filter, select, orderby, expand, and paging with correct logical names.
- Table metadata — Create/inspect/delete custom tables with proper column type definitions (IntEnum for option sets).
- Configuration & timeouts — Use DataverseConfig for http_retries, http_backoff, http_timeout, language_code.
- Cache management — Flush picklist cache when metadata changes.
- File operations — Upload large files in chunks; handle chunked vs. simple upload.
- Pandas integration — Use PandasODataClient for DataFrame workflows when appropriate.
Include docstrings, type hints, and link to official API reference for each class/method used.
Signals
- GitHub stars
- 39k
- Forks
- 5k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
dataverse-python-advanced-patterns- Source
- github.com/github/awesome-copilot