Official agent skill

Dataverse Python Production Code

Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

OfficialMITAuto-check passedDevelopment

Install Dataverse Python Production Code

skills CLI

$ npx skills add github/awesome-copilot --skill dataverse-python-production-code -a claude-code

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

GitHub CLI

$ gh skill install github/awesome-copilot dataverse-python-production-code --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-production-code .claude/skills/dataverse-python-production-code && 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/

Paste into Claude Code

Install the "dataverse-python-production-code" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/dataverse-python-production-code into .claude/skills/dataverse-python-production-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataverse-python-production-code", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/github/awesome-copilot/tree/main/skills/dataverse-python-production-code

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add github/awesome-copilot --skill dataverse-python-production-code -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install github/awesome-copilot dataverse-python-production-code --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dataverse-python-production-code .agents/skills/dataverse-python-production-code && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dataverse-python-production-code" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/dataverse-python-production-code into .agents/skills/dataverse-python-production-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataverse-python-production-code", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add github/awesome-copilot --skill dataverse-python-production-code -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install github/awesome-copilot dataverse-python-production-code --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dataverse-python-production-code .cursor/skills/dataverse-python-production-code && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dataverse-python-production-code" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/dataverse-python-production-code into .cursor/skills/dataverse-python-production-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataverse-python-production-code", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/github/awesome-copilot.git --path skills/dataverse-python-production-code

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add github/awesome-copilot --skill dataverse-python-production-code -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install github/awesome-copilot dataverse-python-production-code --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dataverse-python-production-code .gemini/skills/dataverse-python-production-code && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "dataverse-python-production-code" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/dataverse-python-production-code into .gemini/skills/dataverse-python-production-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataverse-python-production-code", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install github/awesome-copilot dataverse-python-production-code

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add github/awesome-copilot --skill dataverse-python-production-code -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dataverse-python-production-code .github/skills/dataverse-python-production-code && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "dataverse-python-production-code" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/dataverse-python-production-code into .github/skills/dataverse-python-production-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataverse-python-production-code", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add github/awesome-copilot --skill dataverse-python-production-code -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install github/awesome-copilot dataverse-python-production-code --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dataverse-python-production-code .opencode/skills/dataverse-python-production-code && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dataverse-python-production-code" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/dataverse-python-production-code into .opencode/skills/dataverse-python-production-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataverse-python-production-code", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: dataverse-python-production-code
GitHub stars: 40k
Used in: 1 other repo
Token cost: ~913 tokens
SKILL.md length: 266 words
Files: 1
Skills in repo: 417
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

Works in 7 steps: Imports (stdlib, then third-party, then… → Constants and enums → Logging configuration → …
Tasks that involve Error handling
SKILL.md covers Error Handling Structure, Client Management Pattern, Logging Pattern and OData Optimization, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dataverse Python Production Code is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

Its SKILL.md is about 910 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-production-code”

Requirements

Python 3

Workflow steps

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

Imports (stdlib, then third-party, then local)
Constants and enums
Logging configuration
Helper functions
Main service classes
Error handling classes
Usage examples

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 (its code samples are python).
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 Production Code loads about 913 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 266 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~36
When it runs · the whole SKILL.md, loaded when a task matches: ~913

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). 266 words, ~913 tokens.

Download SKILL.mdSave it as .claude/skills/dataverse-python-production-code/SKILL.md (or your agent's skills folder).

name: dataverse-python-production-code
description: Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

System Instructions

You are an expert Python developer specializing in the PowerPlatform-Dataverse-Client SDK. Generate production-ready code that:

Implements proper error handling with DataverseError hierarchy
Uses singleton client pattern for connection management
Includes retry logic with exponential backoff for 429/timeout errors
Applies OData optimization (filter on server, select only needed columns)
Implements logging for audit trails and debugging
Includes type hints and docstrings
Follows Microsoft best practices from official examples

Code Generation Rules

Error Handling Structure

python

from PowerPlatform.Dataverse.core.errors import (
    DataverseError, ValidationError, MetadataError, HttpError
)
import logging
import time

logger = logging.getLogger(__name__)

def operation_with_retry(max_retries=3):
    """Function with retry logic."""
    for attempt in range(max_retries):
        try:
            # Operation code
            pass
        except HttpError as e:
            if attempt == max_retries - 1:
                logger.error(f"Failed after {max_retries} attempts: {e}")
                raise
            backoff = 2 ** attempt
            logger.warning(f"Attempt {attempt + 1} failed. Retrying in {backoff}s")
            time.sleep(backoff)

Client Management Pattern

python

class DataverseService:
    _instance = None
    _client = None
    
    def __new__(cls, *args, **kwargs):
        if cls._instance is None:
            cls._instance = super().__new__(cls)
        return cls._instance
    
    def __init__(self, org_url, credential):
        if self._client is None:
            self._client = DataverseClient(org_url, credential)
    
    @property
    def client(self):
        return self._client

Logging Pattern

python

import logging

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

logger.info(f"Created {count} records")
logger.warning(f"Record {id} not found")
logger.error(f"Operation failed: {error}")

OData Optimization

Always include select parameter to limit columns
Use filter on server (lowercase logical names)
Use orderby, top for pagination
Use expand for related records when available

Code Structure

Imports (stdlib, then third-party, then local)
Constants and enums
Logging configuration
Helper functions
Main service classes
Error handling classes
Usage examples

User Request Processing

When user asks to generate code, provide:

Imports section with all required modules
Configuration section with constants/enums
Main implementation with proper error handling
Docstrings explaining parameters and return values
Type hints for all functions
Usage example showing how to call the code
Error scenarios with exception handling
Logging statements for debugging

Quality Standards

✅ All code must be syntactically correct Python 3.10+
✅ Must include try-except blocks for API calls
✅ Must use type hints for function parameters and return types
✅ Must include docstrings for all functions
✅ Must implement retry logic for transient failures
✅ Must use logger instead of print() for messages
✅ Must include configuration management (secrets, URLs)
✅ Must follow PEP 8 style guidelines
✅ Must include usage examples in comments

Files

Just SKILL.md in skills/dataverse-python-production-code 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.

boshi-xixixi/TraeSkill.trae/Skills/.agents/skills/dataverse-python-production-code

Compare with similar skills

Dataverse Python Production Code 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 Production Code compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dataverse Python Production Code this skillgithub/awesome-copilot	40k	1 repos	~913	Automated safety check: Pass	MIT	today
Cross-Language Coding Standardszereight/gitlab-mcp	2k	1 repos	~1.4k	Automated safety check: Pass	MIT	yesterday
Python Devdatabricks-solutions/ai-dev-kit	1.9k	—	~1.6k	Automated safety check: Pass	Custom licence	1 mo ago
Python Patternskurealnum/dotfiles	290	8 repos	~4.1k	Automated safety check: Pass	None	5 mo ago
Python Script Runnercongchuanling-dot/Cohort	199	—	~577	Automated safety check: Notes	MIT	1 mo ago
Robust Error Handling In Scriptsaiming-lab/MetaClaw	3.5k	—	~225	Automated safety check: Pass	MIT	4 mo ago

Similar skills

Cross-Language Coding Standards
zereight/gitlab-mcp
Shared reference for naming, function size, complexity and error handling rules that reviewer agents apply across TypeScript, Python, Go, Rust, Java, C# and Swift.
2k GitHub starsUsed in 1 repo~1.4k tokens
DevelopmentAuto-check passed
Python Dev
databricks-solutions/ai-dev-kit
Python development guidance with code quality standards, error handling, testing practices, and environment management.
1.9k GitHub stars~1.6k tokensUpdated 1 mo ago
DevelopmentAuto-check passed
Python Patterns
kurealnum/dotfiles
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
290 GitHub starsUsed in 8 repos~4.1k tokens
DevelopmentAuto-check passed
Python Script Runner
congchuanling-dot/Cohort
Runs a Python script with checks first: confirms the interpreter version, compiles it for syntax errors, verifies imports, then explains any traceback in plain language.
199 GitHub stars~577 tokensUpdated 1 mo ago
DevelopmentAuto-check: notes
Robust Error Handling In Scripts
aiming-lab/MetaClaw
A skill your agent uses when writing shell scripts, Python automation, or any unattended batch job.
3.5k GitHub stars~225 tokensUpdated 4 mo ago
DevelopmentAuto-check passed
Strict Programming Practices
code-yeongyu/oh-my-openagent
Applies strict, type-first coding rules for Python, Rust, TypeScript and Go, loading the matching language reference before the agent writes or edits any code.
70k GitHub stars~9.5k tokensUpdated today
DevelopmentAuto-check passed

Questions about Dataverse Python Production Code

What does Dataverse Python Production Code do?

Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices. Dataverse Python Production Code is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.

When should I use Dataverse Python Production Code?

Dataverse Python Production Code fits situations like: tasks that involve Error handling.

How do I install Dataverse Python Production Code in Claude Code?

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

How do I install Dataverse Python Production Code in Codex?

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

Can I use Dataverse Python Production Code 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-production-code -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-production-code, .gemini/skills/dataverse-python-production-code, .github/skills/dataverse-python-production-code and .opencode/skills/dataverse-python-production-code in your project.

What does Dataverse Python Production Code need to run?

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

Does Dataverse Python Production Code 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 Production Code 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 Production Code use?

Dataverse Python Production Code 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 Production Code use?

About 913 tokens (SKILL.md is roughly 3.7k 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 Production Code?

Skills that share tags, products or a category with Dataverse Python Production Code: 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 Production Code?

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.

Install Dataverse Python Production Code

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

System Instructions

Code Generation Rules

Error Handling Structure

Client Management Pattern

Logging Pattern

OData Optimization

Code Structure

User Request Processing

Quality Standards

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from github/awesome-copilot

Related

Questions about Dataverse Python Production Code