.github_gpt/skills/lrj/SKILL.md
Full autonomous engineering workflow
npx skillsauth add the-rabak/compound-engineering-plugin lrjInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run the full autonomous engineering workflow as a strict end-to-end sequence with no deviations.
slrj instead.Execute the full source-of-truth workflow below. Preserve every conditional branch, phase, checklist, and validation step from the original instructions. When the workflow says to ask, wait, route, or run in parallel, do that exactly.
[feature description]
Run these slash commands in order. Do not do anything else.
/compound-engineering-ralph-loop "finish all slash commands" --completion-promise "DONE"/workflows-plan $ARGUMENTS/compound-engineering-deepen-plan/workflows-work/workflows-review/compound-engineering-resolve_todo_parallel/compound-engineering-test-browser/compound-engineering-feature-videoDONE when video is in PRStart with step 1 now.
Output exactly: DONE when the final feature video has been added to the PR.
tools
Package one plan execution packet into a compact ticket-local execution packet with parent refs, scope fences, feature-home ownership, and evidence commands. Use when converting plans into local tickets or when execution needs one ticket-sized context pack without the full plan.
tools
Package one plan execution packet into a compact ticket-local execution packet with parent refs, scope fences, feature-home ownership, and evidence commands. Use when converting plans into local tickets or when execution needs one ticket-sized context pack without the full plan.
testing
Run a deep adversarial review of plans and architecture before implementation. Use when validating strategy docs, contracts, roadmaps, and competitive positioning with scored findings and prioritized recommendations.
testing
Run a deep adversarial review of plans and architecture before implementation. Use when validating strategy docs, contracts, roadmaps, and competitive positioning with scored findings and prioritized recommendations.