slfg

Swarm-enabled LFG. Run these steps in order, parallelizing where indicated. Do not stop between steps — complete every step through to the end.

Run State (resumability + artifact passing)

This workflow is resumable. A tiny helper tracks which phases are done and where each phase's output lives, so re-invoking /slfg continues from the first unfinished phase instead of restarting.

• Helper: node .github/hooks/scripts/lfg-state.js — commands init, bind-plan, done <phase> --run-id <id> [--artifact <repo-relative-path>], status --run-id <id>, run-id-from-plan --plan <path>. It writes .atv/runs/<run-id>/ (gitignored, local-only).
• On start: derive RUN_ID from an existing docs/plans/ plan via run-id-from-plan, else init a provisional id. Run node .github/hooks/scripts/lfg-state.js status --run-id <RUN_ID> and skip phases already done.
• Pass run:<RUN_ID> to every sub-skill so artifacts co-locate and downstream phases read paths, not full content.
• PARENT-ONLY WRITES (concurrency safety): during the Parallel Phase, swarm subagents MUST NOT write run state. Each subagent only returns its artifact path; the parent orchestrator records each node .github/hooks/scripts/lfg-state.js done <phase> --run-id <RUN_ID> --artifact <path> after the parallel agents join. This avoids races on the state directory.
• Re-entry safety: ce-work MUST run with mode:orchestrated so resume reconciles existing work instead of duplicating commits/PRs. If .atv/runs/ is absent, infer progress from the plan, branch, and any open PR.

Sequential Phase

1. Optional: If the ralph-loop skill is available, run /ralph-loop-ralph-loop "finish all slash commands" --completion-promise "DONE". If not available or it fails, skip and continue to step 2 immediately.
2. /ce-plan $ARGUMENTS run:<RUN_ID> — Record the plan file path from docs/plans/ for steps 4 and 6. Then (parent) node .github/hooks/scripts/lfg-state.js bind-plan --run-id <RUN_ID> --plan <plan-path> and node .github/hooks/scripts/lfg-state.js done ce-plan --run-id <RUN_ID> --artifact <plan-path>.
3. /ce-work mode:orchestrated plan:<plan-path-from-step-2> run:<RUN_ID> — Use swarm mode: Make a Task list and launch an army of agent swarm subagents to build the plan. Then (parent) node .github/hooks/scripts/lfg-state.js done ce-work --run-id <RUN_ID>.

Parallel Phase

After work completes, launch steps 4 and 5 as parallel swarm agents (both only need code to be written). Subagents return artifact paths only — the parent records state after they join:

4. /ce-review mode:report-only plan:<plan-path-from-step-2> run:<RUN_ID> — spawn as background Task agent
5. /compound-engineering-test-browser run:<RUN_ID> — spawn as background Task agent

Wait for both to complete before continuing. Then (parent) node .github/hooks/scripts/lfg-state.js done test-browser --run-id <RUN_ID> --artifact <report-path>.

Autofix Phase

6. /ce-review mode:autofix plan:<plan-path-from-step-2> run:<RUN_ID> — run sequentially after the parallel phase so it can safely mutate the checkout, apply safe_auto fixes, and emit residual todos for step 7. Then (parent) node .github/hooks/scripts/lfg-state.js done ce-review --run-id <RUN_ID> --artifact <review-artifact-path>.

Finalize Phase

7. /compound-engineering-todo-resolve — resolve findings, compound on learnings, clean up completed todos. Then node .github/hooks/scripts/lfg-state.js done todo-resolve --run-id <RUN_ID>.
8. /compound-engineering-feature-video — record the final walkthrough and add to PR. Then node .github/hooks/scripts/lfg-state.js done feature-video --run-id <RUN_ID>.
9. Output <promise>DONE</promise> when video is in PR

Start with step 1 now.