skrills

Skrills is a Rust-based skills support engine that validates, analyzes, and syncs skills across four AI coding assistant environments: Claude Code, Codex CLI, GitHub Copilot CLI, and Cursor. It detects missing frontmatter, incompatible fields, and validation issues specific to each target, with automatic fixes available. The tool performs multi-directional sync of eight asset types—skills, commands, agents, MCP servers, hooks, rules, preferences, and plugin assets—from a single binary. It includes token analytics for context-window management, dependency resolution with cycle detection, and a 36-tool MCP server that exposes operations over stdio or HTTP. Operations teams use Skrills to eliminate manual skill coordination work and maintain compatibility across multiple CLI environments.

1. **Prepare Your Environment**: Ensure Codex, Copilot, and Claude Code are installed and accessible. Create a `.skrills.json` file in your project root with your skill configurations. 2. **Run Validation**: Execute `skrills validate --skills [SKILL_NAME]` to check for syntax errors or missing dependencies. 3. **Analyze Dependencies**: Use `skrills analyze --skills [SKILL_NAME] --output graph` to generate a dependency graph and identify potential conflicts. 4. **Sync Configurations**: Run `skrills sync --skills [SKILL_NAME] --targets codex,copilot,claude` to push consistent configurations across all tools. 5. **Review and Deploy**: Check the generated report and deploy the synced configurations to your team’s workflows. Tip: Use `skrills monitor --interval 5m` to track real-time sync status.