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Use this skill when running an autonomous session-orchestration loop. Chains session-start → session-plan → wave-executor → session-end for N iterations with all 10 kill-switches (SPIRAL, FAILED wave, carryover > 50%, max-hours, max-sessions, resource-overload, token-budget, stall-timeout, sub-threshold confidence, user-abort). Reads Mode-Selector output (Phase B) to decide auto-execute vs. fallback. Writes one autopilot.jsonl record per loop run. Phase C scaffold (issue #277); implementation li
Passed 17 of 19 test cases with the skill, and 3 of 19 without it.
and 24 more in the full report
16 fixed4 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
During a loop iteration pre-check, system RAM free is 8 GB (green), swap is 0 GB, but active peer process count is 7. What concurrency cap tier should be assigned to the wave executor?
| Checked | Without skill | With skill |
|---|---|---|
| assigns a concurrency cap of 0 for critical resource state | Missed | Passed |
| applies the most restrictive signal rule when evaluating resource tiers | Missed | Passed |
The instructions your model reads when the skill loads.
Skip silently when
persistence: falsein Session Config.
Before any Phase 1 work, run the parallel-aware preamble per skills/_shared/parallel-aware-preamble.md. The preamble detects other active sessions in the worktree-family via findPeers(repoRoot, { mySessionId }), classifies the caller's mode via classifyMode(callerMode) against the exclusivity-matrix, and either:
PASS_THROUGH (no other session / always-ok mode) → continue to Phase 1EXCLUSIVE_BLOCKED → fires Exclusive-Conflict AUQ from skills/_shared/parallel-aware-auq.mdPROMOTION_OFFER → fires Worktree-Promotion AUQ (via enterWorktree() from scripts/lib/autopilot/worktree-pipeline.mjs — see parallel-aware-auq.md outcome-handling)On any non-PASS_THROUGH outcome that does not result in immediate exit, append a Deviation to STATE.md via appendDeviationOnDisk(repoRoot, isoTimestamp, message) from scripts/lib/state-md.mjs.
Implementation reference: skills/_shared/parallel-aware-preamble.md § Implementation.
AUQ reference: skills/_shared/parallel-aware-auq.md.
Phase C-1.b complete (2026-04-25, issues #295 + #300). Runtime at
scripts/lib/autopilot/kill-switches.mjs:18-32 (the frozen KILL_SWITCHES enum is
SSOT) enforces all 10 kill-switches:
max-sessions-reached, max-hours-exceeded,
resource-overload, low-confidence-fallback (with iter-1-fallback /
iter-2+-exit asymmetry), user-abort, token-budget-exceeded (cumulative tokens
≥ --max-tokens).stall-timeout — no progress marker in
autopilot.jsonl within the threshold (default 600s; missing file → no kill).spiral, failed-wave, carryover-too-high.
Read schema-canonical fields off the sessionRunner return shape:
agent_summary.{spiral, failed} (numeric counts) and effectiveness.{carryover, planned_issues}. Absent fields → no kill (forward-compatible: a sessionRunner
that does not yet emit those fields silently no-ops the post-session gates).Atomic autopilot.jsonl writer (tmp+rename, schema_version 1) and silent-clamp
parseFlags shipped in C-1. autopilot_run_id is passed into sessionRunner
via args.autopilotRunId; production callers MUST persist it into the per-iteration
sessions.jsonl record (additive optional field, schema_version 1 compatible).
See skills/wave-executor/SKILL.md § Return Shape Contract and
test cases passed, vs 3 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.