npx skills add https://github.com/github/awesome-copilot --skill dataverse-python-advanced-patternsHow 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.
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
SKILL.md17 linesExpandCollapse
---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.Add Educational Comments
Takes any code file and transforms it into a teaching resource by adding educational comments that explain syntax, design choices, and language concepts. Automa
Agent Governance
When your AI agents start calling APIs, touching databases, or executing shell commands, you need guardrails before something goes sideways. This gives you comp
Agentic Eval
Implements self-critique loops where Claude generates output, evaluates it against your criteria, then refines based on its own feedback. Includes evaluator-opt