Scaffold the Lights Out SWE harness into a target Git repository.
npx skills add https://github.com/RCSnyder/lights-out-swe-plugin --skill init-rcsnyder
Please help me install this Agent Skill. Skill: init Source: https://github.com/RCSnyder/lights-out-swe-plugin/tree/main/skills/init Command: npx skills add https://github.com/RCSnyder/lights-out-swe-plugin --skill init-rcsnyder
It bootstraps a new repository so an AI coding agent can run the Lights Out SWE gated engineering pipeline with the required harness files and project structure.
Run /lo-swe:init in an empty project repository to scaffold the harness so you can later say build me X.
High-intent search queries and answers about installing and using this skill.
To scaffold an AI coding agent pipeline, you run a single command in an empty project repository to copy the required project-root harness files and scaffold inputs before the agent can begin processing.
Project bootstrapping for a gated GitHub Copilot workflow prepares a repository with consistent, plugin-shipped template files without network fetches, ensuring reproducible scaffolding so the AI agent can progress through quality gates.
No, the project bootstrap script enforces safe no-overwrite behavior by refusing to overwrite an existing harness entry file, reporting written versus skipped files for transparency during installation.
You validate harness installation by checking that the script confirms all required files and directories are present after it completes, ensuring the workspace is fully ready for the gated AI coding pipeline.
Yes, you can use this scaffolding template set for existing project setup, but it applies templates safely by refusing to overwrite existing harness entry files to prevent accidental data loss.
Your AI coding agent needs harness files before running the EXPAND phase because the gated engineering pipeline requires a specific project structure and scaffolding inputs to function correctly from start to DEPLOY.
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