Detect project file types and generate Dockerfiles for verification.
npx skills add https://github.com/jketreno/clare --skill clare-env-setup
Please help me install this Agent Skill. Skill: clare-env-setup Source: https://github.com/jketreno/clare/tree/main/.codex/skills/clare-env-setup Command: npx skills add https://github.com/jketreno/clare --skill clare-env-setup
This Skill helps you quickly configure your environment for CLARE verification, detecting project file types, recommending tools, VS Code extensions, and generating Dockerfiles for reproducible runs.
clare/scripts/clare-env-scan.sh to get a report or output JSON for further analysis.Run the env-scan helper from your project root to generate an environment configuration report or Dockerfile for verification:
Run: bash clare/scripts/clare-env-scan.sh --report
High-intent search queries and answers about installing and using this skill.
To detect project file types and recommend VS Code extensions, run the `clare-env-scan.sh` script from your project root. It inspects your repository for various languages and config files, then suggests appropriate tooling and extensions.
Yes, you can generate a Dockerfile for reproducible environment verification. The skill creates a `Dockerfile.clare` that allows you to run project verifications in isolated containers, ensuring consistent boundaries for AI-assisted code development.
The best way to set up an AI development environment with Docker is to scan your project to extract tooling requirements, then generate a Dockerfile. This approach creates reproducible verification boundaries for your AI-assisted code development.
No, this environment setup script requires no dependencies to run. It operates through predefined scripts for environment setup and analysis, allowing you to immediately generate a configuration report or output JSON for further analysis.
To output JSON for project configuration analysis, execute `clare-env-scan.sh` from your project root. The script analyzes your project boundaries and can format the environment configuration report into JSON for further automated analysis.
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