autopilot

name	autopilot
description	Use this skill when running an autonomous session-orchestration loop. Chains session-start → session-plan → wave-executor → session-end for N iterations with kill-switches (SPIRAL, FAILED wave, carryover > 50%, max-hours, sub-threshold confidence). 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 lives in scripts/lib/autopilot.mjs (Phase C-1 follow-up).
user-invocable	true
tags	["phase-c","autopilot","autonomous","loop"]
model	sonnet

Autopilot Skill

Phase 0.5: Parallel-Aware Preamble

Skip silently when persistence: false in 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 discoverActiveSessions(repoRoot), classifies the caller's mode via classifyMode(callerMode) against the exclusivity-matrix, and either:

• Returns PASS_THROUGH (no other session / always-ok mode) → continue to Phase 1
• Returns EXCLUSIVE_BLOCKED → fires Exclusive-Conflict AUQ from skills/_shared/parallel-aware-auq.md
• Returns PROMOTION_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.

Status

Phase C-1.b complete (2026-04-25, issues #295 + #300). Runtime at scripts/lib/autopilot.mjs enforces all 8 kill-switches:

• Pre-iteration (5, #295): max-sessions-reached, max-hours-exceeded, resource-overload, low-confidence-fallback (with iter-1-fallback / iter-2+-exit asymmetry), user-abort.
• Post-session (3, #300): 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 skills/session-end/SKILL.md § Phase 3.7.

Purpose

Autopilot collapses the per-session attention cost when Mode-Selector is confident enough to make routine decisions autonomously. A productive day commonly ships 3–7 sessions; each manual session-start costs the user 10–60 seconds of context-switch attention. When the session is genuinely routine (mechanical refactor, post-merge housekeeping, repeated follow-ups from a planned epic), that attention cost is pure overhead.

/autopilot reads the Mode-Selector recommendation, executes the recommended session if confidence clears the threshold, then loops — checking kill-switches between iterations. The user invokes the loop once and walks away; autopilot stops itself when work runs out or quality degrades.

This is opt-in by design: autopilot never starts itself. The user must run /autopilot explicitly. Configuration thresholds (--max-sessions, --max-hours, --confidence-threshold) are CLI flags, not Session Config defaults — the user signals intent for THIS run, not a standing policy.

Command Surface

/autopilot [--max-sessions=N] [--max-hours=H] [--confidence-threshold=0.X] [--dry-run]

Flag	Default	Bounds	Meaning
--max-sessions	5	1..50	Iteration cap (graceful exit when reached)
--max-hours	4.0	0.5..24.0	Wall-clock budget for entire loop
--confidence-threshold	0.85	0.0..1.0	Minimum selectMode confidence for auto-execute
--dry-run	false	—	Print planned iterations without executing

Out-of-range values silently clamp to bounds. --dry-run exits after printing — never invokes session lifecycle.

Loop Semantics

state := { iterations_completed: 0, started_at: now(), kill_switch: null, sessions: [] }

WHILE state.iterations_completed < max-sessions:
  IF (now() - state.started_at) > max-hours:
    kill_switch := 'max-hours-exceeded'; break
  IF resource_verdict() == 'critical' AND peer_count() > autopilot-peer-abort:
    kill_switch := 'resource-overload'; break

  recommendation := mode-selector.selectMode(<live signals from session-start Phase 7.5>)

  IF recommendation.confidence < confidence-threshold:
    IF state.iterations_completed == 0:
      fallback_to_manual()  # iteration 1: hand off cleanly to manual /session flow
    ELSE:
      kill_switch := 'low-confidence-fallback'  # iteration 2+: exit, let user decide
    break

  cap := resource_adaptive_cap()
  session_result := run_session(mode=recommendation.mode, agents_per_wave_cap=cap)
  state.sessions.append(session_result.session_id)

  IF session_result.spiral_detected: kill_switch := 'spiral'; break
  IF session_result.failed_waves > 0: kill_switch := 'failed-wave'; break
  IF session_result.carryover_ratio > 0.50: kill_switch := 'carryover-too-high'; break

  state.iterations_completed += 1

write_autopilot_jsonl(state, kill_switch)
print_summary(state, kill_switch)

Atomicity rule: iteration boundaries are atomic. A session must complete (/close including the post-session writes) before the next iteration starts. Autopilot does NOT abort sessions mid-flight; kill-switches are checked AFTER each session completes.

Kill-Switches

Kill-switch	Trigger	Recovery hint
spiral	wave-executor spiral detection fires	Triage the spiraling wave manually; autopilot will not retry.
failed-wave	Any wave reports agent_summary.failed > 0	Investigate failure mode (test contract drift, env issue). Re-run after fix.
carryover-too-high	carryover_ratio > 0.50	Last session under-delivered. Reduce scope or split issues before resuming.
max-hours-exceeded	Wall-clock exceeds --max-hours	Re-run with higher --max-hours or address slow waves.
max-sessions-reached	iterations_completed == --max-sessions	Graceful — not an error.
resource-overload	verdict==critical AND peers > autopilot-peer-abort	Wait for peer sessions to complete or close them.
low-confidence-fallback	confidence < threshold (iteration 2+)	Re-run with lower --confidence-threshold or run next session manually.
user-abort	Ctrl+C / Esc	Re-run when ready.

Resource-Adaptive Concurrency

Autopilot does NOT hard-block on peer Claude processes. It adapts agents-per-wave cap per iteration based on the most-restrictive resource signal.

Tier	RAM free	Swap	Peers	macOS memory_pressure	cap
green	≥ 6 GB	< 1 GB	≤ 2	≥ 30% free	Session Config default
warn	4–6 GB	1–2 GB	3–4	15–30% free	4
degraded	2–4 GB	2–3 GB	5–6	5–15% free	2
critical	< 2 GB	> 3 GB	> 6	< 5% free	0 (coord-direct)

Most-restrictive-signal-wins: [ram=8GB, swap=0, peers=7] → critical (peer rule wins).

Defaults are conservative initial estimates. Phase C-3 follow-up calibrates the swap and memory_pressure thresholds against real autopilot-run effectiveness data.

Production Wiring

Phase C-1 ships runLoop as a pure controller. Phase C-1.c ships buildLiveSignals as the canonical signals-assembly helper. This section documents the in-process driver protocol (Option B from #301): how Claude — running as the coordinator in a chat session — drives runLoop between manual /session invocations. The headless wrapper (Option A, scripts/autopilot.mjs CLI spawning claude -p) is reserved for Phase C-5.

Dependency-Injection Contract

runLoop requires four injected dependencies:

Field	Signature	Source
modeSelector	() => Promise<{mode, confidence, rationale?}>	wraps selectMode(await buildLiveSignals())
sessionRunner	({mode, autopilotRunId}) => Promise<{session_id, agent_summary?, effectiveness?}>	wraps a /session <mode> invocation; reads sessions.jsonl tail to construct return value
resourceEvaluator	() => {verdict}	wraps evaluate(await probe(), thresholds) from resource-probe.mjs
peerCounter	() => number	reads claude_processes_count from a fresh probe() snapshot

abortSignal is optional (Ctrl+C / Esc → user-abort kill-switch).

In-Process Driver Skeleton

import { runLoop, parseFlags } from '$PLUGIN_ROOT/scripts/lib/autopilot.mjs';
import { buildLiveSignals } from '$PLUGIN_ROOT/scripts/lib/build-live-signals.mjs';
import { selectMode } from '$PLUGIN_ROOT/scripts/lib/mode-selector.mjs';
import { probe, evaluate } from '$PLUGIN_ROOT/scripts/lib/resource-probe.mjs';

const flags = parseFlags(process.argv.slice(2));

const modeSelector = async () => {
  // Each iteration rebuilds signals from current disk state. STATE.md will be
  // freshly idle-reset by the previous /close, sessions.jsonl will have the
  // new tail entry, etc. This is the contract: live signals every iteration.
  const signals = await buildLiveSignals({ backlogLimit: 50 });
  return selectMode(signals);
};

const resourceEvaluator = () => {
  const snapshot = probeSync();   // or cached snapshot if probe is async
  return evaluate(snapshot, thresholds);
};

const peerCounter = () => {
  // Synchronous-friendly count from a recent probe snapshot.
  return latestSnapshot.claude_processes_count ?? 0;
};

const sessionRunner = async ({ mode, autopilotRunId }) => {
  // The coordinator (Claude) invokes /session <mode> manually here. After the
  // session completes (/close runs, sessions.jsonl appended), this function
  // reads the tail entry and projects it into the runLoop return-shape.
  const tail = readSessionsJsonlTail(1);   // last line, normalized
  return {
    session_id: tail.session_id,
    agent_summary: tail.agent_summary,    // {complete, partial, failed, spiral}
    effectiveness: tail.effectiveness,    // {planned_issues, carryover, completion_rate, ...}
  };
};

const result = await runLoop({
  ...flags,
  modeSelector,
  sessionRunner,
  resourceEvaluator,
  peerCounter,
});

Why In-Process First

The in-process driver has Claude (the coordinator) call /session <mode> between runLoop iterations, with runLoop orchestrating the kill-switches. Trade-offs:

• Pro: zero new infra. Reuses canonical kill-switch logic. Validates buildLiveSignals against real Phase 7.5 swap before headless complexity. Each iteration carries inter-session memory through STATE.md / sessions.jsonl / learnings.
• Con: not truly autonomous — Claude must stay in the chat. Doesn't deliver walk-away UX. That's Phase C-5's job.

autopilot_run_id Propagation

When runLoop invokes sessionRunner({mode, autopilotRunId}), the per-iteration sessions.jsonl record MUST carry autopilot_run_id: <id>. session-end Phase 3.7 writes this field. Manual sessions write null or omit it — readers treat both identically per the v1 schema additive convention. See skills/session-end/session-metrics-write.md.

Acceptance Signals

A live /autopilot invocation against this wiring produces a non-zero confidence recommendation when at least one signal source is populated (state-md rec fields, sessions.jsonl tail, learnings, or backlog). Confidence at 0.0 with all four sources populated is a Mode-Selector heuristic bug (file as [Mode-Selector v1.x quirk] issue), not an autopilot bug.

Telemetry

One record per /autopilot invocation, written to .orchestrator/metrics/autopilot.jsonl via atomic tmp + rename. See docs/prd/2026-04-25-autopilot-loop.md § Output for the full schema.

Each iteration's sessions.jsonl entry gets an additional optional field autopilot_run_id (string or null) so retros can join across the two files without schema changes.

Manual sessions write autopilot_run_id: null (or omit the field — both treated identically by readers per the v1 schema additive convention).

Integration with Other Skills

• mode-selector.mjs::selectMode — sole source of mode + confidence per iteration. Autopilot does not implement its own mode logic; v1.x quirks affect autopilot exactly as they affect manual session-start.
• resource-probe.mjs::probe + evaluate — extended in Phase C-2 with swap and memory_pressure signals. Existing consumers (manual session-start, wave-executor) benefit from the new signals automatically.
• session-start / session-plan / wave-executor / session-end — invoked unmodified. Autopilot is a controller around the existing session lifecycle, not a replacement.
• session-registry.mjs — peer-count signal source. Autopilot reads but does not write to the registry beyond the standard hook.
• mode-selector-accuracy — autopilot iterations write accuracy learnings exactly like manual sessions (Phase B-4 contract). The chosen field reflects autopilot's auto-execute decision, which equals recommendation.mode when confidence ≥ threshold.

Critical Rules

• Never auto-merge or auto-push beyond /close defaults. /close already pushes to origin; autopilot does not add PR creation, merge, or force-push behavior.
• Iteration boundaries are atomic. Never abort a running session to start a new one.
• Kill-switches checked AFTER each session. Even if a kill-switch will fire after iteration N, iteration N completes cleanly first.
• Iteration 1 sub-threshold falls back to manual; iteration 2+ exits with kill-switch. This asymmetry is intentional — see PRD Q8.
• autopilot.jsonl is the SOLE writer's responsibility of autopilot.mjs. Other skills must not append to or rewrite this file.
• Mode-Selector contract is read-only here. Autopilot does not modify selectMode output, does not re-rank alternatives, does not patch confidence values.

Anti-Patterns

• Do not invoke /autopilot from inside a running session. The skill is a top-level command; nested invocation is undefined behavior.
• Do not modify autopilot.jsonl schema additively without bumping schema_version. Readers MUST treat unknown fields as a forward-compat signal, not as corruption.
• Do not bypass selectMode to force-run a specific mode. If you want to run a specific mode, use /session [mode] manually — that is autopilot's fallback path.
• Do not lower --confidence-threshold below 0.5 in production. The Mode-Selector fallback table treats < 0.5 as suggestion-only; autopilot at that threshold becomes a random-walk over modes.
• Do not implement kill-switch logic in this skill. Kill-switch enforcement is in scripts/lib/autopilot.mjs. The skill documents the contract; the runtime enforces it.

Configuration

The autopilot block in Session Config (CLAUDE.md / AGENTS.md) accepts the following fields. All fields are optional; omitting a field applies the documented default.

autopilot:
  bg-isolation: worktree   # worktree | none (default: worktree) — see #431

bg-isolation

Type: worktree | none — Default: worktree

Controls whether autopilot --multi-story creates a per-story git worktree before spawning sub-sessions.

worktree (default): Each story pipeline receives its own isolated git worktree via EnterWorktree. Parallel writes are safe because every agent edits a private working copy. Cost: disk space proportional to the number of concurrent stories plus the latency of worktree creation at story-start.

none (opt-in): No worktrees are created. Sub-sessions spawn directly in the main working tree. Useful for monorepos where worktree creation is impractical due to large node_modules, sparse-checkout setups, or build caches that must be shared. Requires file-scope discipline: when max-stories > 1, every story must edit a disjoint set of files. If two stories touch the same file simultaneously, edits will collide silently. To enforce acknowledgement of this discipline, autopilot-multi requires --deconflict-paths=<glob> whenever bg-isolation: none AND max-stories > 1; omitting the flag is a hard error (exit 1). See .claude/rules/parallel-sessions.md PSA-001/002/003.

Operator-awareness note: CC 2.1.133 silently flipped worktree.baseRef default from head to origin/<default>, breaking users who relied on unpushed commits being included in their worktree base. The same class of upstream change can affect bg-isolation semantics in a future CC release. Treat CC changelog entries related to worktree or --bg session behaviour as requiring a re-read of this section before upgrading.

References

• PRD: docs/prd/2026-04-25-autopilot-loop.md
• Implementation (Phase C-1 + C-1.b): scripts/lib/autopilot.mjs — exports runLoop, parseFlags, writeAutopilotJsonl, KILL_SWITCHES, FLAG_BOUNDS, SCHEMA_VERSION, DEFAULT_PEER_ABORT_THRESHOLD, DEFAULT_JSONL_PATH, DEFAULT_CARRYOVER_THRESHOLD
• Tests (Phase C-1 + C-1.b): tests/lib/autopilot.test.mjs
• Command file: commands/autopilot.md
• Mode-Selector contract: skills/mode-selector/SKILL.md
• Resource probe: scripts/lib/resource-probe.mjs
• Session registry: scripts/lib/session-registry.mjs
• Wave-executor return shape: skills/wave-executor/SKILL.md § Return Shape Contract
• Sessions.jsonl writer: skills/session-end/session-metrics-write.md
• Epic: #271 v3.2 Autopilot — Autonomous Session Orchestration
• Issues: #277 Phase C scaffold, #295 Phase C-1 runtime, #300 Phase C-1.b follow-up
• Phase A PRD: docs/prd/2026-04-24-state-md-recommendations-contract.md
• Phase B PRD: docs/prd/2026-04-25-mode-selector.md

Open Questions (Phase C-1 to resolve)

• --confidence-threshold=auto — let autopilot self-tune from accumulated mode-selector-accuracy learnings? Requires ≥ 20 accuracy learnings before useful.
• STATE.md autopilot-active: true field — should other Claude sessions detect via the session-registry and refuse to start during an autopilot run? Dogfooding will inform.
• failed-wave granularity — distinguish "agent failed but was retried successfully" from "wave ended with un-recovered failures"? Requires wave-executor schema audit.