New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Google Docstring Assistant

by dmitriiweb in dmitriiweb/extract-emails

Write Python docstrings following the Google Python Style Guide, using clear sections and examples.

MITAuto-check passedDevelopment

Install Google Docstring Assistant

skills CLI
$ npx skills add dmitriiweb/extract-emails --skill google-docstring-assistant -a claude-code

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

GitHub CLI
$ gh skill install dmitriiweb/extract-emails google-docstring-assistant --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/dmitriiweb/extract-emails.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/google-docstring-assistant .claude/skills/google-docstring-assistant && 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
google-docstring-assistant
GitHub stars
111
Token cost
~388 tokens
SKILL.md length
169 words
Files
2 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Write Python docstrings following the Google Python Style Guide, using clear sections and examples.

  • Works in 3 steps: Choose sections → Write clearly → Examples and scripts
  • Tasks that involve Technical documentation
  • SKILL.md covers Quick start, Workflow and Reference
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Google Docstring Assistant is an agent skill from dmitriiweb/extract-emails. Write Python docstrings following the Google Python Style Guide, using clear sections and examples.

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/google_docstring_rules.md`).

It sits in Development, covering Technical documentation. It works with Python. The repository describes itself as: Extract emails and links to linkedin accounts from URLs. The licence is MIT.

When your agent uses it

  • Tasks that involve Technical documentation

Example prompts

  • “/google-docstring-assistant”

Requirements

  • Python 3

Workflow steps

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

  1. Choose sections
  2. Write clearly
  3. Examples and scripts

What it can do on your machine

Read from SKILL.md and the folder at commit 1f2bb40. 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

Google Docstring Assistant loads about 388 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 169 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~388
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

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 dmitriiweb/extract-emails at commit 1f2bb40, republished under its MIT licence (© dmitriiweb). 169 words, ~388 tokens.

Download SKILL.mdSave it as .claude/skills/google-docstring-assistant/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
google-docstring-assistant
description
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.

Google Docstring Assistant

Quick start

  • Write docstrings using the Google Python Style Guide structure (Args, Returns, Raises, Examples, Attributes, etc.).
  • Keep sections as headers followed by indented blocks; break sections by resuming unindented text.
  • When types are annotated in code, omit them in docstrings unless clarity is improved.
  • Use Examples blocks with literal blocks (::) for commands or code snippets.
  • Document module-level variables consistently (all in Attributes or inline), and list TODOs in a Todo section.
  • See references/google_docstring_rules.md for full guidance and examples.

Workflow

  1. Choose sections

    • Functions: include Args, Returns, and Raises as needed.
    • Modules/classes: use Attributes and Todo when relevant; keep formatting consistent.

  2. Write clearly

    • One docstring per object; keep it concise and informative.
    • Use indentation under each section header; separate sections by returning to unindented text.
    • Prefer Google-style wording; avoid duplicating annotated types unless helpful.

  3. Examples and scripts

    • Use Examples: with indented literal blocks for shell commands or code snippets.
    • Include multi-line descriptions when needed; keep formatting readable.

Reference

  • references/google_docstring_rules.md: full style description and examples.

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

Files

SKILL.md and 1 other file (references) in .codex/skills/google-docstring-assistant of dmitriiweb/extract-emails.

  • SKILL.md
  • references/google_docstring_rules.md

Open the folder on GitHubat commit 1f2bb40

Compare with similar skills

Google Docstring Assistant 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.

Google Docstring Assistant compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Google Docstring Assistant this skilldmitriiweb/extract-emails111—~388Automated safety check: PassMIT
Adk Sample Creatorgoogle/adk-python22k—~1.3kAutomated safety check: PassApache-2.0
Crafting Effective Readmescumbucadev/cinemaempoa1465 repos~669Automated safety check: PassGPL-3.0
Acquire Codebase Knowledgegithub/awesome-copilot40k1 repos~2.3kAutomated safety check: PassMIT
Docs Conventionsflet-dev/flet17k—~1.6kAutomated safety check: PassApache-2.0
DDNS Provider DevelopmentNewFuture/DDNS4.7k—~558Automated safety check: PassMIT

Similar skills

  • Adk Sample Creator

    google/adk-python

    Official

    Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.

    22k GitHub stars~1.3k tokensUpdated today
    DevelopmentAuto-check passed

  • Crafting Effective Readmes

    cumbucadev/cinemaempoa

    A skill your agent uses when writing or improving README files.

    146 GitHub starsUsed in 5 repos~669 tokens
    DevelopmentAuto-check passed

  • Acquire Codebase Knowledge

    github/awesome-copilot

    Official

    Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.

    40k GitHub starsUsed in 1 repo~2.3k tokens
    DevelopmentAuto-check passed

  • Docs Conventions

    flet-dev/flet

    A skill your agent uses when writing or reviewing Flet documentation, including Python docstrings (Google style, reST roles, admonitions), Markdown docs (cross-references, images, code examples)…

    17k GitHub stars~1.6k tokensUpdated today
    DevelopmentAuto-check passed

  • DDNS Provider Development

    NewFuture/DDNS

    Adds or changes a DNS provider in the DDNS project while keeping its code, schemas, tests and Chinese and English docs consistent.

    4.7k GitHub stars~558 tokensUpdated yesterday
    DevelopmentAuto-check passed

  • Mkdocs

    jeka-dev/jeka

    MkDocs documentation project reference covering CLI commands, mkdocs.yml configuration, Material theme setup, and plugin integration.

    176 GitHub stars~2k tokensUpdated 2 mo ago
    DevelopmentAuto-check passed

More from dmitriiweb/extract-emails

All 8 skills in this repo

  • Git Commit Assistant

    dmitriiweb/extract-emails

    Generate high-quality conventional git commit messages and, with user approval, run the commit.

    111 GitHub stars~558 tokensUpdated 9 mo ago
    Auto-check passed

  • Agents Md Assistant

    dmitriiweb/extract-emails

    Inspect a repository and draft an AGENTS.md file using the standard template, capturing commands, structure, and workflow rules.

    111 GitHub stars~441 tokensUpdated 9 mo ago
    Auto-check passed

  • Code Review Assistant

    dmitriiweb/extract-emails

    Perform structured, actionable code reviews for Python code with clear findings and suggestions.

    111 GitHub stars~467 tokensUpdated 9 mo ago
    Auto-check passed

  • Debug Logging Assistant

    dmitriiweb/extract-emails

    Add purposeful debug logging to improve observability without changing behavior.

    111 GitHub stars~426 tokensUpdated 9 mo ago
    Auto-check passed

  • Format Lint Assistant

    dmitriiweb/extract-emails

    Run the project's formatter, linters, and mypy checks in the required order, fixing issues and managing any needed stub dependencies via uv.

    111 GitHub stars~395 tokensUpdated 9 mo ago
    Auto-check passed

  • Pytest Testing Assistant

    dmitriiweb/extract-emails

    Write focused pytest tests as standalone functions (one test per function), avoiding test classes.

    111 GitHub stars~394 tokensUpdated 9 mo ago
    Auto-check passed

Works with

Categories

Questions about Google Docstring Assistant

What does Google Docstring Assistant do?

Write Python docstrings following the Google Python Style Guide, using clear sections and examples. Google Docstring Assistant is an agent skill from dmitriiweb/extract-emails. Write Python docstrings following the Google Python Style Guide, using clear sections and examples.

When should I use Google Docstring Assistant?

Google Docstring Assistant fits situations like: tasks that involve Technical documentation.

How do I install Google Docstring Assistant in Claude Code?

Run `npx skills add dmitriiweb/extract-emails --skill google-docstring-assistant -a claude-code`. Or copy the skill folder (.codex/skills/google-docstring-assistant in dmitriiweb/extract-emails) into .claude/skills/google-docstring-assistant in your project. Claude Code loads it when a task matches its description.

How do I install Google Docstring Assistant in Codex?

Run `npx skills add dmitriiweb/extract-emails --skill google-docstring-assistant -a codex`. Or copy the skill folder (.codex/skills/google-docstring-assistant in dmitriiweb/extract-emails) into .agents/skills/google-docstring-assistant in your project. Codex loads it when a task matches its description.

Can I use Google Docstring Assistant 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 dmitriiweb/extract-emails --skill google-docstring-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-docstring-assistant, .gemini/skills/google-docstring-assistant, .github/skills/google-docstring-assistant and .opencode/skills/google-docstring-assistant in your project.

What does Google Docstring Assistant need to run?

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

Does Google Docstring Assistant 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 Google Docstring Assistant 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 Google Docstring Assistant use?

Google Docstring Assistant 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 Google Docstring Assistant use?

About 388 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 618 tokens, read only when the agent opens those files.

What are the alternatives to Google Docstring Assistant?

Skills that share tags, products or a category with Google Docstring Assistant: Adk Sample Creator (google/adk-python, 22k stars), Crafting Effective Readmes (cumbucadev/cinemaempoa, 146 stars), Acquire Codebase Knowledge (github/awesome-copilot, 40k stars) and Docs Conventions (flet-dev/flet, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Docstring Assistant?

dmitriiweb (a GitHub user) maintains it in dmitriiweb/extract-emails, which has 111 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on January 2, 2026.

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