.github/skills/slrj/SKILL.md
Full autonomous engineering workflow using swarm mode for parallel execution
npx skillsauth add the-rabak/compound-engineering-plugin slrjInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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[feature description]
Swarm-enabled LRJ. Run these steps in order, parallelizing where indicated.
/compound-engineering-ralph-loop "finish all slash commands" --completion-promise "DONE"/workflows-plan $ARGUMENTS/compound-engineering-deepen-plan/workflows-work — Use swarm mode: Make a Task list and launch an army of agent swarm subagents to build the planAfter work completes, launch steps 5 and 6 as parallel swarm agents (both only need code to be written):
/workflows-review — spawn as background Task agent/compound-engineering-test-browser — spawn as background Task agentWait for both to complete before continuing.
/compound-engineering-resolve_todo_parallel — resolve any findings from the review/compound-engineering-feature-video — record the final walkthrough and add to PR<promise>DONE</promise> when video is in PRStart with step 1 now.
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.