533 results in Observability, CLAUDE.md / Rules, Identity · page 8 of 23
CLAUDE.md / RulesPreview
deadline-countdown
Deadline day statusline with git branch, changed files count, and countdown timer to a configurable deadline. Color-coded urgency. Set DEADLINE_TIME env var (HH:MM, default 15:30) to customize.
Comprehensive permissions for active development. Allows most development tools and operations while maintaining security boundaries. Ideal for trusted development environments where productivity is prioritized.
Enhanced development environment configuration with useful utilities and debugging features. Includes built-in ripgrep usage, terminal title updates, and directory maintenance for improved developer experience.
Disable specific MCP servers that may pose security risks or are not needed for your workflow. This blacklist approach allows most servers while blocking potentially problematic integrations.
Delivers comprehensive Gradle commands for cross-platform Kotlin Multiplatform development with clear module structure and practical guidance for dependency injection.
A theatrical display of coding emotions and activities. Random mood faces and dynamic activity detection based on file types present in your project. Displays: Random mood faces (😴 sleepy, 😅 laughing, 🤔 thinking, 😎 cool, 🤯 exploding, 🥳 partying, 😤 huffing, 🤖 robotic), Programming activity (🐍 Python, 🌐 JavaScript, 🦀 Rust, 💻 generic), Random energy percentage (1-100%), Current time (HH:MM format).
Automatically approve and enable all MCP servers defined in project .mcp.json files. This setting bypasses manual approval prompts for project-defined MCP servers, streamlining development workflow in trusted environments.
Enable only specific MCP servers from .mcp.json files. This provides granular control over which MCP integrations are active, allowing you to selectively enable trusted or required servers while blocking others.
Fiddler AI Observability platform monitors LLM applications for hallucinations, toxicity, bias, and drift, with explainability and alerting for production AI.