Spec-Flow

Spec-Flow is a workflow toolkit that transforms feature development by replacing ad-hoc prompting with a structured pipeline. It automates the journey from specification through planning, task breakdown, implementation with test-driven development, quality validation, and deployment. The tool enforces TDD, runs parallel quality gates including performance and security checks, and maintains auditable artifacts at every phase. Teams using Spec-Flow benefit from repeatable patterns, efficient context management, and complete traceability of decisions. Installation adds workflow files to your project with no package.json dependency, and commands like /feature, /epic, and /quick integrate directly into Claude Code.

1. **Prepare your spec document**: Upload your feature specification to a URL (e.g., Confluence, Notion, or a hosted Markdown file) or use a local file path. Ensure it includes clear acceptance criteria and edge cases. 2. **Customize the workflow**: Replace [FEATURE_NAME], [SPEC_DOCUMENT_URL], [TEST_COVERAGE_THRESHOLD], and [BRANCH_NAME] with your project's values. For npm projects, keep [PACKAGE_MANAGER] as 'npm'; switch to 'pnpm' or 'yarn' if needed. 3. **Run the generator**: Execute the Claude Code script in your terminal with `claude code generate-workflow.js` or use the prompt directly in your AI assistant. The script will create: - Test files in `specs/[FEATURE_NAME]/` - Quality gate configuration - GitHub Actions workflow - Changelog template 4. **Integrate with your toolchain**: Commit the generated files to your repository. Spec-Flow will automatically: - Run tests on push - Enforce coverage thresholds - Generate audit logs - Create PR comments with results 5. **Iterate and refine**: Review the auto-generated tests and coverage reports. Adjust your spec document if tests reveal gaps. Use the changelog template to document changes before merging. **Tips for Better Results:** - Use structured spec formats (e.g., Gherkin, OpenAPI) for more accurate test generation. - Start with a small feature to validate the workflow before scaling to larger projects. - Combine with `claude code --review` to get AI feedback on the generated tests before committing.