Skill — Autonomous Loops

When this skill activates

When designing or executing autonomous agent workflows that run without human intervention across multiple tasks. Covers pattern selection, safety rails, and state management for headless operation.

Mandatory actions when this skill is active

Before starting autonomous execution

1. Define the exit conditions — when does the loop STOP?
2. Define the escalation path — what triggers a human interrupt?
3. Checkpoint the current state — autonomous mode must be resumable
4. Verify SHARED_TASK_NOTES.md exists and is readable

Loop Pattern Selection

Pattern 1 — Sequential Pipeline

Plan → Task 1 → Verify → Task 2 → Verify → ... → Ship

• Use when: tasks have strict ordering, output of one feeds next
• Safety: verify after EACH task, halt pipeline on failure
• State: HANDOFF.json tracks position in pipeline

Pattern 2 — Parallel Wave Execution

Wave 1: [Task A, Task B, Task C] → all verify → Wave 2: [Task D, Task E] → ...

• Use when: multiple independent tasks can run simultaneously
• Safety: all tasks in a wave must pass before next wave starts
• State: wave-executor.md manages group completion

Pattern 3 — RFC-Driven DAG

Spec → Decompose into dependency graph → Execute respecting dependencies
         ↓
   [A] → [B, C] → [D depends on B+C] → [E depends on D]

• Use when: complex feature with interdependent work units
• Safety: each node independently verifiable, DAG prevents circular deps
• State: DAG stored in HANDOFF.json with per-node status

Pattern 4 — Infinite Agentic Loop (with stuck detection)

while (work_exists):
    pick_next_task()
    execute()
    verify()
    if stuck_for(3_iterations): escalate()

• Use when: continuous improvement, ongoing maintenance
• Safety: stuck-detector.md monitors for non-progress
• CRITICAL: must have hard time limit OR task count limit

Safety Rails (ALL patterns)

1. Hard limits — Set before starting, never removed during execution:

• Max iterations: configurable (default 20 tasks)
• Max duration: configurable (default 2 hours)
• Max cost: from config.json [COST_HARD_LIMIT_USD]

1. Stuck detection — If 3 consecutive iterations produce no meaningful progress:

• Write diagnostic to SHARED_TASK_NOTES.md
• Attempt self-repair (different approach) ONCE
• If self-repair fails: HALT and escalate to user

1. Checkpoint protocol:

• Write state to HANDOFF.json after EVERY task completion
• Write reasoning to SHARED_TASK_NOTES.md for cross-iteration context
• On interruption: state is always resumable from last checkpoint

1. Escalation triggers (always halt for human):

• Security-sensitive changes detected (auth/payment/PII)
• Merge conflict requiring judgment
• Test failures that resist 2 fix attempts
• Any change scoring difficulty > 8

During autonomous execution

• Fresh context per task (no context accumulation)
• Load HANDOFF.json + SHARED_TASK_NOTES.md at each task start
• Run verification-loop (minimum Phase 4+5+6) after each task
• Log every task completion/failure in AUDIT

After autonomous execution completes

• Produce execution summary (tasks completed, failed, time, cost)
• Archive SHARED_TASK_NOTES.md to .planning/history/
• Run full verification-loop (all 6 phases) on combined changes
• Report results to user for review before any merge/push

Self-check before task completion

• [ ] Did I define exit conditions BEFORE starting the loop?
• [ ] Did I verify stuck detection fires after 3 iterations of no progress?
• [ ] Did I confirm SHARED_TASK_NOTES.md is being written after each task?
• [ ] Did I run verification-loop on the combined changes before reporting complete?