Manage configurations for AI coding tools like Claude Code, Gemini CLI, Codex CLI, and Antigravity. Set up MCPs, rules, permissions, memory, and workstreams. Ideal for operations teams automating AI developer workflows.
git clone https://github.com/regression-io/coder-config.gitManage configurations for AI coding tools like Claude Code, Gemini CLI, Codex CLI, and Antigravity. Set up MCPs, rules, permissions, memory, and workstreams. Ideal for operations teams automating AI developer workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/regression-io/coder-configCopy 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.
Configure [AI_TOOL] for [COMPANY] in the [INDUSTRY] sector. Set up the following: [MCP_NAME] with [PERMISSION_LEVEL] access, [MEMORY_CONFIGURATION], and [WORKSTREAM_RULES]. Ensure compatibility with [EXISTING_SYSTEM] and optimize for [SPECIFIC_USE_CASE].
# AI Tool Configuration for TechInnovate Solutions ## MCP Configuration - **Name**: TechInnovate-MCP-2024 - **Access Level**: Developer - **Permissions**: Read/Write to code repositories, Execute in sandbox environments ## Memory Settings - **Retention Period**: 30 days - **Storage Location**: Secure cloud instance in AWS us-east-1 - **Encryption**: AES-256 ## Workstream Rules 1. All Python code must pass Pylint checks before execution 2. JavaScript code requires peer review for production deployment 3. Automatically tag all configurations with 'TechInnovate-2024' ## Compatibility Notes - Configured for integration with Jira v9.3.2 - Optimized for frontend development workflows - Set up for CI/CD pipeline with GitHub Actions **Note**: This configuration is optimized for a medium-sized tech company with 50+ developers working on web applications.
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