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.
Python development guidance with code quality standards, error handling, testing practices, and environment management.
Install Python Dev
$ npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks-solutions/ai-dev-kit python-dev --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/python-dev .claude/skills/python-dev && rm -rf skills-srcUse ~/.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/
Install the "python-dev" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.claude/skills/python-dev into .claude/skills/python-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-dev", 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 install https://github.com/databricks-solutions/ai-dev-kit/tree/main/.claude/skills/python-devType 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.
$ npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks-solutions/ai-dev-kit python-dev --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/python-dev .agents/skills/python-dev && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-dev" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.claude/skills/python-dev into .agents/skills/python-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-dev", 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.
$ npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks-solutions/ai-dev-kit python-dev --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/python-dev .cursor/skills/python-dev && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "python-dev" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.claude/skills/python-dev into .cursor/skills/python-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-dev", 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 https://github.com/databricks-solutions/ai-dev-kit.git --path .claude/skills/python-dev--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks-solutions/ai-dev-kit python-dev --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/python-dev .gemini/skills/python-dev && rm -rf skills-srcUse ~/.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/
Install the "python-dev" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.claude/skills/python-dev into .gemini/skills/python-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-dev", 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.
$ gh skill install databricks-solutions/ai-dev-kit python-devInstalls 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).
$ npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/python-dev .github/skills/python-dev && rm -rf skills-srcUse ~/.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/
Install the "python-dev" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.claude/skills/python-dev into .github/skills/python-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-dev", 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.
$ npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install databricks-solutions/ai-dev-kit python-dev --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/python-dev .opencode/skills/python-dev && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "python-dev" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.claude/skills/python-dev into .opencode/skills/python-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-dev", 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
python-dev- GitHub stars
- 1.9k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 433 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Python development guidance with code quality standards, error handling, testing practices, and environment management.
- Works in 6 steps: Code Quality: DRY, composition, pure… → Style: Type hints, snake_case, Google… → Errors: Specific exceptions, early… → …
- Modifying Python code (.py files)
- SKILL.md covers Overview, When to Use This Skill, Code Quality and Error Handling & Efficiency, plus 3 more sections
- Calls uv and python3
What it does
Python Dev is an agent skill from databricks-solutions/ai-dev-kit. Python development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.ipynb files).
Its SKILL.md is about 1.6k 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 Jupyter notebooks, Code quality and Error handling. It works with Python, Databricks and Jupyter. The repository describes itself as: Databricks Toolkit for Coding Agents provided by Field Engineering.
When your agent uses it
- Modifying Python code (.py files)
- Jupyter notebooks (.ipynb files)
Example prompts
- “/python-dev”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Code Quality: DRY, composition, pure functions, simple solutions
- Style: Type hints, snake_case, Google docstrings, small functions
- Errors: Specific exceptions, early validation, no bare except
- Efficiency: f-strings, comprehensions, context managers
- Testing: pytest only, TDD, tests in ./tests/, all must pass
- Environment: Use uv exclusively for dependencies and execution, Ruff for linting/formatting, Pyright for type checking
What it can do on your machine
Read from SKILL.md and the folder at commit b059fd0. 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
Shell commands in SKILL.md call:
uvpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
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
Python Dev loads about 1.6k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 433 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 433 words (~1,645 tokens).
“Python development guidance focused on code quality, error handling, testing, and environment management. Apply when working with Python code or Jupyter notebooks.”
- name
- python-dev
Files
Just SKILL.md in .claude/skills/python-dev of databricks-solutions/ai-dev-kit.
Open the folder on GitHubat commit b059fd0
Compare with similar skills
Python Dev 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Python Dev this skilldatabricks-solutions/ai-dev-kit | 1.9k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Cross-Language Coding Standardszereight/gitlab-mcp | 2k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Validate Agent Workkryptamine/herdr-auto-title | 237 | — | ~605 | Automated safety check: Pass | MIT | |
| Align Recipe pyproject.tomlgoogle/adk-recipes | 10k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Strict Programming Practicescode-yeongyu/oh-my-openagent | 70k | — | ~9.5k | Automated safety check: Pass | Custom licence | |
| Cb Code QualityBlkLeg/CircuitBreaker | 201 | — | ~1.9k | Automated safety check: Pass | MIT |
Similar skills
Validate Agent Work
kryptamine/herdr-auto-title
Final checklist before handing work back in the herdr-auto-title repo: review the diff, run make check, apply the comment and AGENTS.md rules, then report.
- Official
Align Recipe pyproject.toml
google/adk-recipes
Brings a Python recipe's pyproject.toml in line with the repo's CI rules, either as a read-only dry run or by rewriting the file while keeping comments.
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.
Cb Code Quality
BlkLeg/CircuitBreaker
Circuit Breaker code conventions and the quality gates that actually block a push — ruff, mypy, eslint, the pytest coverage ratchet, and the make verify tiers.
Code Quality
notque/vexjoy-agent
Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
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Related
Works with
Categories
Questions about Python Dev
What does Python Dev do?
Python development guidance with code quality standards, error handling, testing practices, and environment management. Python Dev is an agent skill from databricks-solutions/ai-dev-kit. Python development guidance with code quality standards, error handling, testing practices, and environment management.
When should I use Python Dev?
Python Dev fits situations like: modifying Python code (.py files); jupyter notebooks (.ipynb files).
How do I install Python Dev in Claude Code?
Run `npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a claude-code`. Or copy the skill folder (.claude/skills/python-dev in databricks-solutions/ai-dev-kit) into .claude/skills/python-dev in your project. Claude Code loads it when a task matches its description.
How do I install Python Dev in Codex?
Run `npx skills add databricks-solutions/ai-dev-kit --skill python-dev -a codex`. Or copy the skill folder (.claude/skills/python-dev in databricks-solutions/ai-dev-kit) into .agents/skills/python-dev in your project. Codex loads it when a task matches its description.
Can I use Python Dev 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 databricks-solutions/ai-dev-kit --skill python-dev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-dev, .gemini/skills/python-dev, .github/skills/python-dev and .opencode/skills/python-dev in your project.
What does Python Dev need to run?
Going by SKILL.md and its folder, Python Dev needs the command-line tools its instructions call (uv and python3). Our summary lists: Python 3.
Does Python Dev access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Python Dev 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 Python Dev use?
Python Dev has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Python Dev use?
About 1.6k tokens (SKILL.md is roughly 6.6k 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 Python Dev?
Skills that share tags, products or a category with Python Dev: Cross-Language Coding Standards (zereight/gitlab-mcp, 2k stars), Validate Agent Work (kryptamine/herdr-auto-title, 237 stars), Align Recipe pyproject.toml (google/adk-recipes, 10k stars) and Strict Programming Practices (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Dev?
databricks-solutions (a GitHub organization) maintains it in databricks-solutions/ai-dev-kit, which has 1,938 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 13, 2026.
Source: databricks-solutions/ai-dev-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.