Claude Starter Kit is a template repository for Claude Code development. It includes configurations, skills, and agents to streamline operations automation. Ideal for teams using Claude AI to automate workflows, it connects to various programming languages like Python, JavaScript, and Go.
git clone https://github.com/serpro69/claude-starter-kit.gitClaude Starter Kit is a template repository for Claude Code development. It includes configurations, skills, and agents to streamline operations automation. Ideal for teams using Claude AI to automate workflows, it connects to various programming languages like Python, JavaScript, and Go.
[{"step":"Identify your automation domain and specific tasks. For example, if automating cloud infrastructure, your domain might be 'infrastructure-as-code' and tasks could include 'terraform plan generation' and 'cost estimation'.","tip":"Use the Claude Starter Kit's built-in skill catalog to find pre-configured templates for common tasks in your domain."},{"step":"Customize the programming language agent template by replacing [PROGRAMMING_LANGUAGE] with your preferred language (python, javascript, go) and [SPECIFIC_TASK] with your exact use case.","tip":"For Python, use Poetry for dependency management. For JavaScript, consider using npm workspaces for monorepo support."},{"step":"Configure the CI/CD pipeline by specifying your [DEPLOYMENT_TARGET] (e.g., AWS Lambda, Kubernetes, serverless) and [TOOL_OR_SERVICE] (e.g., GitHub Actions, GitLab CI, Jenkins).","tip":"Include automated testing for all skills in your pipeline configuration to ensure reliability."},{"step":"Generate documentation templates by replacing [DOCUMENTATION_TYPE] with your needs (e.g., API reference, architecture diagrams, runbook).","tip":"Use claude-code-docgen to automatically generate documentation from your agent skill definitions."},{"step":"Test the generated project structure locally using 'claude dev' before committing to version control.","tip":"Run 'claude skills validate' to check all agent configurations before deployment."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/serpro69/claude-starter-kitCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a new Claude Starter Kit project structure for automating [TASK_DOMAIN] workflows. Include: 1) A [PROGRAMMING_LANGUAGE] agent template with pre-configured skills for [SPECIFIC_TASK], 2) A CI/CD pipeline configuration for [DEPLOYMENT_TARGET], 3) Documentation templates for [DOCUMENTATION_TYPE]. Use the latest Claude Starter Kit conventions and ensure compatibility with [TOOL_OR_SERVICE].
Here's a generated Claude Starter Kit project structure for automating data pipeline workflows: ``` claude-starter-kit-data-pipelines/ ├── agents/ │ ├── python/ │ │ ├── data_ingestion_agent.py │ │ │ ├── Skills: file_download, api_integration, data_validation │ │ │ ├── Config: supports_parallel_processing=True │ │ ├── data_processing_agent.py │ │ │ ├── Skills: pandas_operations, data_cleaning, transformation │ │ │ ├── Config: memory_limit=4GB │ ├── javascript/ │ │ ├── api_gateway_agent.js │ │ │ ├── Skills: express_server, rate_limiting, auth_middleware ├── ci-cd/ │ ├── github-actions/ │ │ ├── data-pipeline.yml │ │ │ ├── Triggers: on push to main, on schedule (daily 2AM) │ │ │ ├── Jobs: test, deploy-to-staging, deploy-to-prod ├── docs/ │ ├── pipeline_architecture.md │ │ ├── Includes: data flow diagrams, error handling strategies │ ├── agent_api_reference.md │ │ ├── Generated from code comments using claude-code-docgen ``` Key configurations: - Python agents use Poetry for dependency management - JavaScript agents use npm workspaces for monorepo support - CI/CD includes automated testing for all skills - Documentation is auto-generated from agent skill definitions The structure follows Claude Starter Kit v2.1 conventions with support for: - AWS Lambda deployments - Docker containerization - Slack integration for pipeline notifications - Prometheus metrics for monitoring
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