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Adk Git Agent Skill

Use for any git operation (commit, push, pull, rebase, branch, PR, cherry-pick, etc.). Provides commit message format and conventions.

853 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
20998
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/google/adk-python --skill adk-git

The instruction itself

8 sections, as written by the author

Git Operations for adk-python

Commit Message Format

Use Conventional Commits:

<type>(<scope>): <description>

Types

  • feat: New feature
  • fix: Bug fix
  • docs: Documentation only
  • style: Formatting, no code change
  • refactor: Code restructure without behavior change
  • perf: Performance improvement
  • test: Adding/updating tests
  • chore: Build, config, dependencies
  • ci: CI/CD changes

Description Phrasing

CRITICAL: The subject line must answer why, not just what.

A reviewer reading only the subject should understand the motivation.

  • State the outcome, not the mechanics:
  • Good: Fix race condition when two agents write to same session
  • Bad: Update session.py to add lock
  • Name the capability added, not the implementation:
  • Good: Support parallel tool execution in workflows
  • Bad: Add asyncio.gather call in execute_tools_node
  • For refactors, state the reason, not just the action:
  • Good: Make graph public for dev UI serialization
  • Bad: Make graph a public field on new Workflow
  • For bug fixes, state what was broken:
  • Good: Prevent duplicate events when resuming HITL
  • Bad: Check interrupt_id before appending

Detailed Commit Messages

Promote detailed commit messages by including a short, concrete explanation in the body:

  • For features: Give a sample usage or explain the new capability.
  • For fixes: Explain what caused the error and how the fix addresses it.

Example (Feature):

feat(workflow): Support JSON string parsing in schema validation

Automatically parse JSON strings into dicts or Pydantic models when input_schema or output_schema is defined on a node.

Example (Fix):

fix(sessions): Prevent duplicate events when resuming HITL

The interrupt_id was not checked before appending, causing duplicates if the user resumed multiple times. Added a check to ignore already processed interrupts.

Self-check before committing: read your subject line and ask "does this tell me _why_ someone made this change?" If it only describes _what_ changed, rewrite it.

Rules

  • Imperative mood - "Add feature" not "Added feature".
  • Capitalize first letter of description (for release-please changelog).
  • No period at end of subject line.
  • 50 char limit on subject line when possible, max 72.
  • Use body for context - Add a blank line then explain _why_,

not _how_, when the subject alone isn't enough.

  • Reference GitHub issues - If the commit fixes a GitHub issue, include "Fixes #<issue-number>" or "Closes #<issue-number>" (or the full issue URL if cross-repository) in the commit message body.

Examples

feat(agents): Support App pattern with lifecycle plugins
fix(sessions): Prevent memory leak on concurrent session cleanup
refactor(tools): Unify env var checks across tool implementations
docs: Add contributing guide for first-time contributors

Pre-commit Hooks

> [!IMPORTANT]

> Before performing any commit, check if pre-commit is installed and configured with the expected hooks (isort, pyink, addlicense, mdformat). If not, remind the user to set up pre-commit hooks using the adk-setup skill.

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How to use it

Copy the folder

Take google/adk-git from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.