/git-workflows
Reusable git delivery workflows derived from local slash commands (commit, push, PR, release notes, and GitHub Actions failure triage with worktree-based fixes).
$ npx -y skills add TencentCloudBase/CloudBase-AI-Toolkit --skill git-workflows --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/git-workflows
Context preview
The summary Claude sees to decide when to auto-load this skill.
Reusable git delivery workflows derived from local slash commands (commit, push, PR, release notes, and GitHub Actions failure triage with worktree-based fixes).
SKILL.md
git-workflows.SKILL.mdname: git-workflows
description: Reusable git delivery workflows derived from local slash commands (commit, push, PR, release notes, and GitHub Actions failure triage with worktree-based fixes).
Git Workflows (from local commands)
This skill turns the repo's former local command templates into reusable git delivery workflows.
When to use this skill
Use this skill when the user asks to:
- run a commit workflow (conventional-changelog style)
- push changes with safe branching and open a PR
- generate release notes from git history / GitHub context
- publish a version from `main` (including bilingual README Recent updates on minor bumps)
- analyze the latest failed GitHub Actions workflow, attempt a fix in an isolated worktree, and submit a PR
- check IDE icon configuration consistency across document components and source files
Source of truth
All detailed steps and constraints live in:
- `references/source-commands.md`
This skill describes how to apply them consistently across agents/editors without duplicating implementation details.
Execution rules
1. Read the requested command template from `references/source-commands.md`. 2. Follow it as workflow steps, not as a loose summary. 3. Keep actions safe by default:
- avoid destructive git operations unless explicitly requested
- avoid committing secrets
- keep changes minimal and localized
4. If a workflow implies external side effects (push/PR/release), request explicit confirmation right before performing the side effect.
Command mapping
See `references/command-catalog.md`.
Read more
name: git-workflows description: Reusable git delivery workflows derived from local slash commands (commit, push, PR, release notes, and GitHub Actions failure triage with worktree-based fixes).
Git Workflows (from local commands)
This skill turns the repo's former local command templates into reusable git delivery workflows.
When to use this skill
Use this skill when the user asks to:
- run a commit workflow (conventional-changelog style)
- push changes with safe branching and open a PR
- generate release notes from git history / GitHub context
- publish a version from `main` (including bilingual README Recent updates on minor bumps)
- analyze the latest failed GitHub Actions workflow, attempt a fix in an isolated worktree, and submit a PR
- check IDE icon configuration consistency across document components and source files
Source of truth
All detailed steps and constraints live in:
- `references/source-commands.md`
This skill describes how to apply them consistently across agents/editors without duplicating implementation details.
Execution rules
1. Read the requested command template from `references/source-commands.md`. 2. Follow it as workflow steps, not as a loose summary. 3. Keep actions safe by default:
- avoid destructive git operations unless explicitly requested
- avoid committing secrets
- keep changes minimal and localized
4. If a workflow implies external side effects (push/PR/release), request explicit confirmation right before performing the side effect.
Command mapping
See `references/command-catalog.md`.
AI writes the code. CloudBase runs the backend. The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.
Repo: TencentCloudBase/CloudBase-AI-Toolkit
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