project-bootstrapper
Bootstraps projects with standardized file organization, linters, testing, and documentation configurations.
Install
mkdir -p .claude/skills/project-bootstrapper && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5119" && unzip -o skill.zip -d .claude/skills/project-bootstrapper && rm skill.zipInstalls to .claude/skills/project-bootstrapper
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Sets up new projects or improves existing projects with development best practices, tooling, documentation, and workflow automation. Use when user wants to start a new project, improve project structure, add development tooling, or establish professional workflows.Key capabilities
- →Automates directory structure initialization (src, tests, docs)
- →Configures Git hooks and branch protection policies
- →Sets up automated linters and code formatting tools
- →Generates boilerplate documentation templates (README, CONTRIBUTING)
- →Configures CI/CD pipelines and status badge integration
How it works
It applies a standardized set of files, scripts, and configuration templates to the root directory to enforce consistency across new or existing repositories.
Inputs & outputs
When to use project-bootstrapper
- →Initialize a new project with best practices
- →Add linting and formatting to an existing project
- →Improve folder structure and documentation
About this skill
Project Bootstrapper
Sets up new projects or improves existing projects with development best practices, tooling, documentation, and workflow automation.
When to Use
- "set up a new project"
- "bootstrap this project"
- "add best practices"
- "improve project structure"
- "set up development tooling"
- "initialize project properly"
What It Sets Up
1. Project Structure
- Standard directories (src/, tests/, docs/, scripts/, .github/)
- Logical file organization
- Structure improvements
2. Git Configuration
- Comprehensive
.gitignore .gitattributesfor line endings/diffs- Git hooks (pre-commit, commit-msg)
- Branch protection patterns
- Git LFS if needed
3. Documentation
- Comprehensive
README.md CONTRIBUTING.md- Code documentation (JSDoc, docstrings)
CHANGELOG.mdstructure- Architecture docs if complex
4. Testing Setup
- Identify/suggest testing framework
- Test structure and conventions
- Example/template tests
- Configure test runners
- Coverage reporting
- Testing scripts/commands
5. Code Quality Tools
- Linters (ESLint, Pylint, etc.)
- Formatters (Prettier, Black, etc.)
- Type checking (TypeScript, mypy, etc.)
- Pre-commit hooks for quality
- Editor configs (.editorconfig)
- Code quality badges
6. Dependencies Management
- Package manager configuration
- Organize dependencies
- Check security vulnerabilities
- Set up dependency updates (Dependabot, Renovate)
- Create lock files
- Document dependency choices
7. Development Workflow
- Useful npm scripts / Makefile targets
- Environment variable templates (.env.example)
- Docker configuration if appropriate
- Development startup scripts
- Hot-reload / watch modes
- Document development workflow
8. CI/CD Setup
- GitHub Actions / GitLab CI config
- Automated testing
- Automated deployment (if applicable)
- Status badges
- Release automation
- Branch protection
Approach
Discovery Phase
Ask clarifying questions:
- Project type: New or existing?
- Primary purpose: Web app, library, CLI tool?
- Language/framework: JS/TS, Python, Go, etc.?
- Collaboration: Personal or team?
- Deployment target: Server, cloud, mobile, desktop?
- Preferences: Specific tools/frameworks?
- Scope: Full setup or specific areas?
Implementation Phase
- Analyze existing structure (if existing project)
- Create plan based on answers
- Show plan and get approval
- Implement systematically (one area at a time)
- Verify completeness
- Provide handoff documentation
Customization
Adapts to:
- Language ecosystem: Node.js vs Python vs Go vs Rust
- Project size: Small script vs large app
- Team size: Solo vs collaborative
- Maturity: Startup speed vs enterprise standards
Tools Used
- AskUserQuestion: Gather requirements
- Write: Create configuration files, documentation
- Edit: Update existing files
- Bash: Initialize tools (git init, npm init)
- Read: Analyze existing structure
- Glob: Find files to update
Success Criteria
- All standard files present and configured
- Clear and complete documentation
- Documented development workflow
- Automated quality tooling (pre-commit hooks)
- Easy test execution
- Follows language/framework conventions
- Quick developer onboarding
- No obvious best practices missing
Templates
- Node.js/TypeScript web app
- Python CLI tool
- Python web API (FastAPI/Flask)
- React/Next.js app
- Go service
- Rust CLI/library
Integration
- feature-planning: For planning custom features
- code-auditor: For validating setup quality
- codebase-documenter: For generating detailed docs
Scope Control
- Full bootstrap: Everything from scratch
- Partial setup: Specific areas only (e.g., "just add testing")
- Improvement pass: Enhance existing project
- Audit + fix: Check what's missing and add it
When not to use it
- →Micro-projects requiring zero configuration overhead
- →Environments where existing build tools conflict
Limitations
- →Opinionated structure may require manual adjustment
- →Can introduce conflicts in highly customized existing repos
How it compares
It standardizes the 'day-one' development experience by bundling infrastructure rather than setting up individual tools one by one.
Compared to similar skills
project-bootstrapper side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| project-bootstrapper (this skill) | 1 | 9mo | Review | Beginner |
| korean-skill-creator | 8 | 9mo | Review | Beginner |
| skill-forge | 11 | 9mo | Review | Intermediate |
| svelte-expert | 11 | 9mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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