Automated summary
A CLI tool for quickly creating pull requests and generating AI-powered commit messages following Angular conventions.
Strengths
- AI-powered commit message generation following Angular convention
- Interactive pull request creation with branch selection, clipboard copy, and browser launch
- Multi-platform support (GitHub, GitLab, Gitee)
- Semantic branch name generation
Limitations
- Requires a Google Gemini API key for AI features
- Only works with Git repositories
- AI only analyzes staged changes
When you need to quickly create a pull request or generate standardized commit messages without leaving the terminal.
When you need a full GUI-based code review or when you don't have access to the Gemini API.
Security analysis
CautionThe tool uses network calls to Google's Gemini API, which is a documented feature for AI-powered commit messages. The user must explicitly configure an API key, so it's not hidden. However, sending source code to a third-party service may pose confidentiality risks. The tool also uses Bash and git, but that's normal for its purpose.
- β’Sends git diffs (staged changes) to external Google Gemini API for commit message generation. Users should ensure they have permission to share code with external services.
Examples
Use qkpr to create a pull request for my current branch against main.Run qkpr commit to generate an Angular-style commit message from my staged changes.Use qkpr branch to suggest a branch name based on my staged changes.name: qkpr description: Quick Pull Request CLI with AI-powered commit message generation. Use for creating GitHub/GitLab/Gitee pull requests, generating Angular-style commit messages, and creating semantic branch names. allowed-tools: Bash(qkpr:), Bash(git:)
qkpr - Quick Pull Request CLI
Quick Start
# Interactive menu (shows all options)
qkpr
# Create a pull request
qkpr pr
# Generate AI commit message
qkpr commit
# Generate branch name
qkpr branch
Commands
Interactive Menu (Default)
qkpr
Shows an interactive menu with all available features:
- π§ Create Pull Request
- π€ Generate Commit Message
- πΏ Generate Branch Name
- β Configure API Key
- π§ Configure Model
Create Pull Request
# Interactive branch selection
qkpr pr
# Specify target branch directly
qkpr pr main
qkpr pr develop
Features:
- Interactive branch selection with search
- Protected branch highlighting (main, master)
- Smart branch categorization by prefix (feat/, fix/, merge/, etc.)
- Auto-generated PR description with commit summaries
- Clipboard integration (copies PR description automatically)
- Browser integration (opens PR comparison page)
- Merge branch suggestion for conflict resolution
- Multi-platform support (GitHub, GitLab, Gitee)
Generate Commit Message (AI-Powered)
qkpr commit
Features:
- π€ Uses Google Gemini 2.0 Flash AI
- π Follows Angular commit message convention
- πΏ Suggests semantic branch names
- π Analyzes staged changes (git diff --cached)
- β Interactive: choose to commit, copy, or regenerate
- π Option to auto-push after commit
First-time Setup for AI Features
- Get Gemini API Key from Google AI Studio
- Configure API key:
# Method 1: Use config command
qkpr config
# Method 2: Environment variable
export QUICK_PR_GEMINI_API_KEY=your_api_key_here
# or legacy variable name
export GEMINI_API_KEY=your_api_key_here
Model Configuration
qkpr config:model
Available models (as of 2025):
gemini-2.5-pro(latest pro)gemini-2.5-flash(latest flash)gemini-2.0-flash(default)gemini-2.0-flash-expgemini-flash-latest
Or set via environment:
export QUICK_PR_GEMINI_MODEL=gemini-2.5-pro
Generate Branch Name
qkpr branch
Generates a semantic branch name based on staged changes using AI.
Configuration
# Configure API key
qkpr config
# Configure model
qkpr config:model
Version & Help
qkpr --version # or qkpr -v
qkpr --help # or qkpr -h
Workflow Examples
Example 1: Create a Pull Request
# Make your changes
git add .
git commit -m "feat: add new feature"
# Create PR with qkpr
qkpr pr
# Select target branch interactively
# PR description copied to clipboard, browser opens automatically
Example 2: AI-Generated Commit Message
# Stage your changes
git add .
# Generate commit message with AI
qkpr commit
# Review the generated message
# Choose to commit, copy, or regenerate
Example 3: Complete Workflow with AI
# Stage changes
git add .
# Generate commit and create branch name
qkpr commit # Generates message, suggests branch name
qkpr branch # Get semantic branch name suggestion
# Commit and push
git checkout -b suggested-branch-name
git commit -m "generated message"
git push
# Create PR
qkpr pr main
Commit Message Convention
qkpr follows Angular commit message format:
<type>(<scope>): <subject>
<body>
<footer>
Types
feat- New featurefix- Bug fixdocs- Documentation changesstyle- Code style changes (formatting, etc.)refactor- Code refactoringperf- Performance improvementstest- Adding or updating testschore- Maintenance tasksci- CI/CD changesbuild- Build system changes
Configuration File
API keys and settings are stored locally in:
~/.qkpr/config.json
Requirements
gitversion 2.0+- Node.js version 18+
- Gemini API key (for AI features)
License
MIT License Β© KazooTTT
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/qkpr-ai-powered-pull-request-cli-mmh8qqep/download' --output '.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep/SKILL.md.part' && mv '.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep/SKILL.md.part' '.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Tools declared by the author (check availability in your agent): Bash(qkpr:*), Bash(git:*)
Original excerpt: Requirements
gitversion 2.0+- Node.js version 18+
- Gemini API key (for AI features)
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep/SKILL.md' && test -s '.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/qkpr' && cp -R '.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep' '.claude/skills/qkpr'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js β₯ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep'openskills read 'qkpr-ai-powered-pull-request-cli-mmh8qqep'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/qkpr-ai-powered-pull-request-cli-mmh8qqep/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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