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Official agent skill

Dataverse Python Advanced Patterns

by github in github/awesome-copilot

Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

OfficialMITAuto-check passedDevelopment

Install Dataverse Python Advanced Patterns

skills CLI
$ npx skills add github/awesome-copilot --skill dataverse-python-advanced-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot dataverse-python-advanced-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dataverse-python-advanced-patterns .claude/skills/dataverse-python-advanced-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dataverse-python-advanced-patterns
GitHub stars
40k
Used in
1 other repo
Token cost
~291 tokens
SKILL.md length
120 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

  • Works in 8 steps: Error handling & retry logic — Catch… → Batch operations — Bulk… → OData query optimization — Filter,… → …
  • Tasks that involve Error handling
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dataverse Python Advanced Patterns is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

Its SKILL.md is about 290 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Error handling. It works with Python. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve Error handling

Example prompts

  • “/dataverse-python-advanced-patterns”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dataverse Python Advanced Patterns loads about 291 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 120 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~291

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 120 words, ~291 tokens.

Download SKILL.mdSave it as .claude/skills/dataverse-python-advanced-patterns/SKILL.md (or your agent's skills folder).
name
dataverse-python-advanced-patterns
description
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.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/dataverse-python-advanced-patterns of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Dataverse Python Advanced Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dataverse Python Advanced Patterns compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dataverse Python Advanced Patterns this skillgithub/awesome-copilot40k1 repos~291Automated safety check: PassMIT
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Python Devdatabricks-solutions/ai-dev-kit1.9k—~1.6kAutomated safety check: PassCustom licence
Python Patternskurealnum/dotfiles2908 repos~4.1kAutomated safety check: PassNone
Python Script Runnercongchuanling-dot/Cohort199—~577Automated safety check: NotesMIT
Robust Error Handling In Scriptsaiming-lab/MetaClaw3.5k—~225Automated safety check: PassMIT

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Works with

Categories

Questions about Dataverse Python Advanced Patterns

What does Dataverse Python Advanced Patterns do?

Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques. Dataverse Python Advanced Patterns is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

When should I use Dataverse Python Advanced Patterns?

Dataverse Python Advanced Patterns fits situations like: tasks that involve Error handling.

How do I install Dataverse Python Advanced Patterns in Claude Code?

Run `npx skills add github/awesome-copilot --skill dataverse-python-advanced-patterns -a claude-code`. Or copy the skill folder (skills/dataverse-python-advanced-patterns in github/awesome-copilot) into .claude/skills/dataverse-python-advanced-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Dataverse Python Advanced Patterns in Codex?

Run `npx skills add github/awesome-copilot --skill dataverse-python-advanced-patterns -a codex`. Or copy the skill folder (skills/dataverse-python-advanced-patterns in github/awesome-copilot) into .agents/skills/dataverse-python-advanced-patterns in your project. Codex loads it when a task matches its description.

Can I use Dataverse Python Advanced Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill dataverse-python-advanced-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataverse-python-advanced-patterns, .gemini/skills/dataverse-python-advanced-patterns, .github/skills/dataverse-python-advanced-patterns and .opencode/skills/dataverse-python-advanced-patterns in your project.

What does Dataverse Python Advanced Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: Dataverse Python Advanced Patterns is instructions for the agent only. Our summary lists: Python 3.

Does Dataverse Python Advanced Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dataverse Python Advanced Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dataverse Python Advanced Patterns use?

Dataverse Python Advanced Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dataverse Python Advanced Patterns use?

About 291 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dataverse Python Advanced Patterns?

Skills that share tags, products or a category with Dataverse Python Advanced Patterns: Cross-Language Coding Standards (zereight/gitlab-mcp, 2k stars), Python Dev (databricks-solutions/ai-dev-kit, 1.9k stars), Python Patterns (kurealnum/dotfiles, 290 stars) and Python Script Runner (congchuanling-dot/Cohort, 199 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dataverse Python Advanced Patterns?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.