ContextX is an AI framework that automates project creation from documents using Claude Code. Operations teams benefit by reducing manual setup time. It connects to document repositories and project management tools, streamlining workflows.
git clone https://github.com/yzfly/ContextX.gitContextX is a context engineering framework powered by Claude Code that automatically generates complete code projects from your documents and requirement descriptions. It solves requirement communication difficulties by enabling AI to understand the full context of complex projects, reducing low development efficiency caused by repetitive setup work, and establishing standardized AI-assisted development processes. The framework intelligently analyzes task complexity and automatically selects the most suitable agent workflow—from simple direct builds to complex learn-design-build pipelines. Users prepare project materials in a structured .contextx directory containing requirements descriptions, documentation, and reference code, then run a single command to generate fully-formed projects. Operations teams and developers benefit by dramatically reducing manual project setup time and enabling rapid prototype development from document-based specifications.
1. **Prepare Inputs:** Gather your project requirements document (e.g., a `.md` or `.docx` file) and note the target project management tool (e.g., GitHub, Jira). Ensure you have API access/permissions for the tool. 2. **Customize the Prompt:** Replace [PROJECT_TYPE], [DOCUMENT_PATH], [PROJECT_MANAGEMENT_TOOL], and other placeholders with your specifics. Use bullet points for [LIST_REQUIREMENTS] to clarify scope. 3. **Run ContextX:** Execute the prompt in an environment with Claude Code installed (e.g., `claude code --project /path/to/workspace`). ContextX will parse the document and generate the project structure. 4. **Verify Setup:** Check the output for errors (e.g., missing dependencies) and review the generated files. Use the [VALIDATION_COMMAND] to confirm functionality (e.g., `npm run build`). 5. **Iterate:** If adjustments are needed, modify the document or prompt and rerun ContextX. For complex projects, break requirements into smaller documents to improve accuracy.
Rapid prototype development from written specifications
Automated generation of repetitive project structures
Document-based project implementation with AI assistance
Complex business logic development with context-aware AI guidance
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/yzfly/ContextXCopy 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.
Use ContextX to automate the creation of a [PROJECT_TYPE] project from the document at [DOCUMENT_PATH]. Set up the project structure in [PROJECT_MANAGEMENT_TOOL] (e.g., GitHub, Jira, Notion) with the following requirements: [LIST_REQUIREMENTS]. Include [TEAM_MEMBERS] as collaborators and configure [INTEGRATIONS] (e.g., CI/CD, Slack alerts). Verify the setup by running [VALIDATION_COMMAND].
### Project Creation Report for 'E-Commerce Redesign' **Document Source:** `/docs/ecommerce-redesign-specs.md` **Project Type:** React-based e-commerce platform **Project Management Tool:** GitHub **Team Members:** Sarah Chen (Lead), Alex Rivera, Priya Patel **Integrations:** Vercel (deployment), Slack (#ecom-dev channel), Stripe (payment testing) #### Actions Completed: 1. **Repository Setup:** Created a private GitHub repo `acme/ecom-redesign` with MIT license and `.github/workflows` CI/CD templates. 2. **Project Structure:** Generated folders: `/src/components`, `/src/pages`, `/public/assets`, and `/config`. Added `package.json` with dependencies: `react@18`, `next@14`, `stripe@12`. 3. **Collaborators:** Invited Sarah Chen as admin, Alex Rivera and Priya Patel as contributors with write access. 4. **Integrations:** Linked Vercel for auto-deploys on `main` branch, configured Slack alerts for PR merges, and added Stripe test keys in `.env.example`. 5. **Validation:** Ran `npm run lint && npm run test` via GitHub Actions; all checks passed. Slack channel `#ecom-dev` received a confirmation message. **Next Steps:** The team can now clone the repo and start development. ContextX generated a `README.md` with setup instructions and a link to the project board in Jira (ID: `ECOM-1000`).
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