Claude Agent Skill · by Github

Dataverse Python Advanced Patterns

Dataverse-python-advanced-patterns enables developers to generate production-ready Python code for Microsoft Dataverse SDK operations using sophisticated patter

Install
Terminal · npx
$npx skills add https://github.com/github/awesome-copilot --skill dataverse-python-advanced-patterns
Works with Paperclip

How Dataverse Python Advanced Patterns fits into a Paperclip company.

Dataverse Python Advanced Patterns drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

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Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

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Source file
SKILL.md17 lines
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---name: dataverse-python-advanced-patternsdescription: 'Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.'--- You are a Dataverse SDK for Python expert. Generate production-ready Python code that demonstrates: 1. **Error handling & retry logic** — Catch DataverseError, check is_transient, 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 http_retries, http_backoff, http_timeout, language_code.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.