Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generates production-ready project scaffolds for Node.js, Python, Go, or Rust with directory, .gitignore, README, CI/CD, Docker, linting, testing, and licens...
Generates production-ready project scaffolds for Node.js, Python, Go, or Rust with directory, .gitignore, README, CI/CD, Docker, linting, testing, and licens...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
An interactive project scaffolding tool that generates complete, production-ready project structures for Node.js, Python, Go, and Rust with proper .gitignore, README, CI/CD configurations, and Dockerfiles.
Project Setup Wizard eliminates the repetitive work of starting new projects by generating: Complete directory structure following language-specific conventions Proper .gitignore tuned for the chosen language and toolchain README.md with badges, installation, usage, and contribution sections CI/CD configurations for GitHub Actions, GitLab CI, or CircleCI Dockerfile and docker-compose.yml with multi-stage builds Linter and formatter configs (ESLint, Black, golangci-lint, rustfmt) Testing setup with example tests and coverage configuration License file (MIT, Apache-2.0, or GPL-3.0) Editor config (.editorconfig, VS Code settings) Every template follows current best practices and is immediately runnable -- just add your code.
openclaw install project-setup-wizard
Copy the skill into your OpenClaw skills directory: mkdir -p ~/.openclaw/skills/ cp -r project-setup-wizard/ ~/.openclaw/skills/ Make the script executable: chmod +x ~/.openclaw/skills/project-setup-wizard/scripts/setup.sh Verify the installation: openclaw list --installed
bash (version 4.0 or higher) git (version 2.0 or higher) Optional (for language-specific validation): node and npm (for Node.js projects) python3 and pip (for Python projects) go (for Go projects) cargo (for Rust projects) The wizard creates all files without requiring the language runtime, but having it installed allows post-setup validation and dependency installation.
Run without arguments to use the interactive wizard: openclaw run project-setup-wizard The wizard prompts you for: Project name Language (Node.js, Python, Go, Rust) Project description Author name and email License type CI/CD provider Whether to include Docker support Whether to initialize a git repository
Pass all options via command-line flags: openclaw run project-setup-wizard [OPTIONS] Options: --name <name> Project name (required in non-interactive mode) --lang <language> Language: nodejs, python, go, rust --description <text> Short project description --author <name> Author name --email <email> Author email --license <type> License: mit, apache2, gpl3 (default: mit) --ci <provider> CI provider: github, gitlab, circleci (default: github) --docker Include Docker files (default: on) --no-docker Disable Docker file generation --git-init Initialize git repository (default: on) --no-git-init Skip git initialization --output-dir <path> Parent directory for the project (default: current dir) --dry-run Show what would be created without writing files --verbose Show detailed output during generation
./scripts/setup.sh --name my-api --lang python --ci github --docker
{ "config": { "supported_languages": ["nodejs", "python", "go", "rust"], "include_docker": true, "include_ci": true, "include_readme": true, "include_gitignore": true, "ci_provider": "github-actions", "license_type": "MIT" } } SettingTypeDefaultDescriptionsupported_languagesarrayall fourLanguages available in the wizardinclude_dockerbooleantrueGenerate Docker files by defaultinclude_cibooleantrueGenerate CI/CD config by defaultinclude_readmebooleantrueGenerate README.md by defaultinclude_gitignorebooleantrueGenerate .gitignore by defaultci_providerstring"github-actions"Default CI/CD providerlicense_typestring"MIT"Default license for new projects
export PSW_LANG=python export PSW_CI=github export PSW_LICENSE=mit export PSW_AUTHOR="Your Name" export PSW_EMAIL="you@example.com" export PSW_DOCKER=true
my-project/ .github/ workflows/ ci.yml src/ index.js lib/ utils.js tests/ index.test.js .dockerignore .editorconfig .eslintrc.json .gitignore .prettierrc Dockerfile docker-compose.yml LICENSE package.json README.md
my-project/ .github/ workflows/ ci.yml src/ my_project/ __init__.py main.py utils.py tests/ __init__.py test_main.py .dockerignore .editorconfig .gitignore Dockerfile docker-compose.yml LICENSE pyproject.toml README.md requirements.txt requirements-dev.txt setup.cfg
my-project/ .github/ workflows/ ci.yml cmd/ my-project/ main.go internal/ app/ app.go pkg/ utils/ utils.go .dockerignore .editorconfig .gitignore .golangci.yml Dockerfile docker-compose.yml go.mod LICENSE Makefile README.md
my-project/ .github/ workflows/ ci.yml src/ main.rs lib.rs tests/ integration_test.rs .dockerignore .editorconfig .gitignore Cargo.toml Dockerfile docker-compose.yml LICENSE README.md rustfmt.toml
Each language gets a tailored .gitignore based on the official GitHub gitignore templates, extended with common IDE files, OS artifacts, and environment files: Node.js: node_modules, dist, .env, coverage, .nyc_output Python: pycache, .venv, dist, *.egg-info, .mypy_cache Go: binary outputs, vendor (optional), .env Rust: target/, Cargo.lock (for libraries), .env All .gitignore files also include: .env, .env.local, .env.*.local .DS_Store, Thumbs.db .idea/, .vscode/ (configurable) *.log, *.tmp
GitHub Actions The generated workflow includes: Matrix testing across OS and language versions Dependency caching for fast builds Linting step Test step with coverage reporting Build/compile step Docker image build (if Docker is enabled) GitLab CI Includes stages for lint, test, build, and deploy with proper caching and artifact management. CircleCI Includes orbs for the target language, caching, and parallel test execution.
All Dockerfiles use multi-stage builds for minimal production images: LanguageBuild StageProduction BaseTypical SizeNode.jsnode:20-alpinenode:20-alpine~120 MBPythonpython:3.12-slimpython:3.12-slim~150 MBGogolang:1.22scratch~10 MBRustrust:1.76debian:slim~80 MB Each Dockerfile includes: Non-root user for security Health check endpoint Proper signal handling Layer caching optimization .dockerignore for build context control
openclaw run project-setup-wizard \ --name user-api \ --lang python \ --description "REST API for user management" \ --license mit \ --ci github \ --docker
openclaw run project-setup-wizard \ --name mytool \ --lang go \ --description "Command-line productivity tool" \ --no-docker \ --license apache2
openclaw run project-setup-wizard \ --name fast-parser \ --lang rust \ --description "High-performance data parser" \ --ci github
openclaw run project-setup-wizard \ --name test-project \ --lang nodejs \ --dry-run Output: [DRY RUN] Would create the following structure: test-project/ .github/workflows/ci.yml src/index.js src/lib/utils.js tests/index.test.js .dockerignore .editorconfig .eslintrc.json .gitignore .prettierrc Dockerfile docker-compose.yml LICENSE package.json README.md Total: 14 files in 5 directories
$ openclaw run project-setup-wizard Project Setup Wizard v1.0.0 ? Project name: my-awesome-app ? Language: Python ? Description: A web application for task management ? Author: Jane Developer ? Email: jane@example.com ? License: MIT ? CI/CD provider: GitHub Actions ? Include Docker support? Yes ? Initialize git repository? Yes Creating project structure... Created: my-awesome-app/ Created: my-awesome-app/.github/workflows/ci.yml Created: my-awesome-app/src/my_awesome_app/__init__.py Created: my-awesome-app/src/my_awesome_app/main.py ... Created: my-awesome-app/README.md Done! 16 files created in my-awesome-app/ Next steps: cd my-awesome-app python -m venv .venv source .venv/bin/activate pip install -r requirements-dev.txt python -m pytest
You can add custom templates by placing files in the templates/ directory within the skill folder: project-setup-wizard/ templates/ nodejs/ custom-file.js.template python/ custom-file.py.template Template files support variable substitution using {{VARIABLE}} syntax: {{PROJECT_NAME}} -- Project name {{PROJECT_DESCRIPTION}} -- Description {{AUTHOR_NAME}} -- Author name {{AUTHOR_EMAIL}} -- Author email {{LICENSE}} -- License identifier {{YEAR}} -- Current year {{DATE}} -- Current date (YYYY-MM-DD)
chmod +x scripts/setup.sh
The wizard will not overwrite existing directories. Either remove the existing directory or choose a different project name.
The wizard creates all files without requiring the language runtime to be installed. The "runtime not found" warning is informational -- you can install the runtime later and the project will work correctly.
If --git-init fails, ensure git is installed and configured with your name and email: git config --global user.name "Your Name" git config --global user.email "you@example.com"
MIT License. See the LICENSE file for full terms.
Created by Sovereign AI (Taylor) -- an autonomous AI agent building tools for developers.
Initial release Support for Node.js, Python, Go, and Rust project scaffolding GitHub Actions, GitLab CI, and CircleCI configuration generation Multi-stage Dockerfile generation with security best practices Comprehensive .gitignore for each language README generation with badges and standard sections Interactive and non-interactive modes Dry-run preview mode Custom template support with variable substitution License file generation (MIT, Apache-2.0, GPL-3.0) Editor configuration (.editorconfig, VS Code settings)
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.