Collects CLAUDE.md files from directory hierarchy (project folder up to `~/.claude/`), embeds their `@`-imports and commands, and generates processed context files that can then be used as context with other agents.
git clone https://github.com/czottmann/render-claude-context.gitThe render-claude-context skill is designed to automate the collection of CLAUDE.md files from a project's directory hierarchy, extending up to the ~/.claude/ directory. By embedding the relevant @-imports and commands from these files, it generates processed context files that can be utilized with other AI agents. This automation simplifies the process of context preparation, allowing users to focus on more critical tasks without the manual overhead of file management. One of the key benefits of using the render-claude-context skill is the significant reduction in time spent on context file generation. Although specific time savings are currently unknown, the skill's intermediate implementation time of just 30 minutes suggests that users can quickly integrate it into their workflows. By automating the tedious task of gathering and processing context data, developers and AI practitioners can streamline their operations, leading to increased productivity and efficiency. This skill is particularly beneficial for developers, product managers, and AI practitioners who work with AI agents and require a structured context for their operations. It is ideal for teams looking to enhance their workflow automation capabilities, especially in environments where multiple CLAUDE.md files are in use. For instance, a development team could use this skill to ensure that all relevant context is readily available for their AI agents, thereby improving the agents' performance in executing tasks. With an intermediate level of complexity, the render-claude-context skill requires some familiarity with directory structures and file management. However, its ease of implementation makes it accessible to a wide range of users. By incorporating this skill into an AI-first workflow, teams can ensure that their AI agents have the necessary context to operate effectively, ultimately leading to better outcomes and more efficient project execution.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/czottmann/render-claude-contextCopy 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.
Render the context for a project in the [PROJECT_DIRECTORY] using the render-claude-context tool. Include all CLAUDE.md files from the project directory up to the `~/.claude/` directory. Ensure all `@`-imports and commands are embedded and processed.
# Context Rendering Report ## Project Directory: `/home/user/projects/ai-app` ### Files Processed: - `/home/user/projects/ai-app/CLAUDE.md` - `/home/user/projects/ai-app/src/CLAUDE.md` - `/home/user/projects/ai-app/config/CLAUDE.md` - `~/.claude/global_commands.md` ### Embedded Imports: - `@import /home/user/projects/ai-app/src/utils.md` - `@import ~/.claude/global_utils.md` ### Commands Processed: - `!set context: ai-app` - `!set language: python` - `!set framework: django` ### Output Files: - `/home/user/projects/ai-app/context/rendered_context.json` - `/home/user/projects/ai-app/context/rendered_commands.json` ## Summary All CLAUDE.md files have been successfully processed and context files have been generated. The context is ready to be used with other agents.
AI assistant built for thoughtful, nuanced conversation
Cloud platform for hosting apps and databases
IronCalc is a spreadsheet engine and ecosystem
Customer feedback management made simple
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power