Claude Code configuration providing a full SDLC workflow framework with GitHub Projects automation, command templates, and MCP integrations for developers.
git clone https://github.com/sbusso/claude-workflow.gitclaude-workflow is a Claude Code configuration framework that automates the software development lifecycle through GitHub Projects integration. It provides 11 command templates covering planning, feature creation, task breakdown, issue handling, PR creation, and commit workflows. The framework includes utility scripts for project status transitions, hierarchical task numbering, and parent-child GitHub issue relationships. Developers working with Python (FastAPI, uv) or TypeScript (Bun, TanStack Router, shadcn/ui) benefit from pre-configured MCP integrations including Context7, Playwright, and GitHub MCP. Installation is handled via a single curl command that syncs the shared workspace to the local .claude/ directory using a native Claude Code memory import system.
Install by running the provided curl command, which clones the dotclaude repo into your local .claude/ directory and creates a minimal CLAUDE.md that imports the workflow memory. Shell integration is added automatically, providing ccsync and ccpush commands for two-way synchronization with the shared workspace. A .claude-config.json enables auto-discovery of project configuration, and local overrides can be stored in files matching the *.local.* pattern, which are gitignored by default.
Automating GitHub Projects status transitions from feature planning to implementation
Breaking down features into hierarchically numbered sub-tasks with GitHub parent-child issue relationships
Setting up standardized PR creation, commit, and issue-handling workflows in Claude Code
Configuring MCP integrations (Context7, Playwright, GitHub MCP) for a project in one step
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/sbusso/claude-workflowCopy the install command above and run it in your terminal.
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I'm working on a software development project for [COMPANY] in the [INDUSTRY] sector. I need Claude's help to configure a workflow that will guide our team through the software development lifecycle (SDLC). Our current process includes [DATA] stages. Can you suggest a workflow configuration that integrates with our existing tools and improves our development process?
# Software Development Lifecycle Workflow Configuration ## Recommended Workflow for [COMPANY] Based on your current process and industry needs, I've configured a workflow that integrates with your existing tools and enhances your SDLC. Here's the recommended setup: ### 1. Planning Phase - **Tool Integration**: Jira for task management - **Key Features**: - Automated sprint planning - Resource allocation suggestions - Risk assessment tools ### 2. Development Phase - **Tool Integration**: GitHub/GitLab for version control - **Key Features**: - Automated code reviews - Branch management - Continuous integration setup ### 3. Testing Phase - **Tool Integration**: Selenium for automated testing - **Key Features**: - Test case generation - Test environment provisioning - Defect tracking integration ### 4. Deployment Phase - **Tool Integration**: Kubernetes for container orchestration - **Key Features**: - Automated deployment pipelines - Rollback mechanisms - Monitoring and alerting ### 5. Maintenance Phase - **Tool Integration**: New Relic for performance monitoring - **Key Features**: - Automated incident response - Performance optimization suggestions - User feedback collection ## Implementation Steps 1. Install and configure the recommended tools 2. Set up integrations between tools using provided APIs 3. Customize workflow settings based on your specific needs 4. Train your team on the new workflow 5. Monitor and optimize the workflow over time
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