Implements Tessl skill review GitHub Actions workflows in your repository through an interactive, configuration-first wizard.
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Validation for skill structure
Your engineering team at TechCorp maintains an internal repository of AI agent skills used across multiple products. The team has been manually reviewing skill quality during code reviews, which is time-consuming and inconsistent. The lead engineer wants to add automated skill quality scoring to the CI/CD pipeline, with results posted directly on pull requests so reviewers can see if skill quality improved or regressed.
The repository is private, used only by trusted internal contributors. All team members have write access. The main branch is called main, and skill files are organized under skills/*/SKILL.md. You need to set up a workflow that automatically runs when skills are modified and provides feedback on pull requests.
The team uses Tessl for skill management and wants the automated reviews integrated into their existing GitHub Actions workflows. They prefer to keep configuration simple and use standard settings where possible.
Create a complete automation solution that includes:
setup.sh): A bash script that validates prerequisites, creates all necessary files, and performs initial git staging (but doesn't commit or push)SETUP_CONFIG.md): Document the configuration choices made, architecture selected, and rationaleThe setup script should handle directory creation, file generation, and initial git operations. It should validate that the environment meets requirements before proceeding.
The following files represent the current repository state. Extract them before beginning.
Handles CSV data processing tasks. =============== FILE: README.md ===============
Collection of AI agent skills for TechCorp products.
Install with Tessl CLI
npx tessl i tessl-labs/tessl-workflow-installer@0.0.4evals
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