all-the-vibes/atv-phoenix/phoenix-auto

Claude Code and agent skill by all-the-vibes/atv-phoenix

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Dynamic, state-sensing router for autonomous multi-step work — chooses the next Phoenix skill at runtime from the current objective state (what's green/red, what stage, is there a backlog) instead of following a fixed pipeline. This is Phoenix's autopilot. Use for open-ended autonomous execution where the next step depends on results, when the user says /phoenix-auto, "autopilot", "drive this", "orchestrate", or "figure out the steps as you go". For a fixed lifecycle just use the phoenix meta-router; for a persistent backlog loop use phoenix-ralph.

Install

npx vskill@latest install all-the-vibes/atv-phoenix/phoenix-auto

SKILL.md

phoenix-auto — the adaptive orchestrator

The base phoenix skill is a fixed routing tree (think → plan → build → review → ship): great when the path is known. phoenix-auto is the dynamic counterpart — Anthropic's routing + orchestrator-workers patterns (Building Effective Agents): at each step it senses current state and picks the next skill based on results, because in real work you can't predict the subtasks up front.

Fixed pipeline = a train on rails. phoenix-auto = a driver reading the road. Both are valid; pick by
how predictable the path is.

The state-sensing loop

┌───────────────────────────────────────────────┐
▼ │
SENSE state ──▶ ROUTE to a skill ──▶ EXECUTE ──▶ phoenix_sense gate
(green/red? (pick next by (run it) │
backlog? current reality) ├─ green ─▶ snapshot, re-SENSE ─┘
stage?) └─ red ──▶ phoenix_heal (≤3) ─▶ re-SENSE
Routing policy (what to pick, given state)
Current stateRoute to
Goal is vague / no acceptance check existsphoenix-goal (formalize) → or phoenix-think
Have intent, no stepsphoenix-plan
There's a backlog to grind to completionphoenix-ralph (the persistence loop)
Implementing a known stepphoenix-build (+ phoenix-test to set the gate)
A check is red / something brokephoenix-debug
Need cheap structural contextphoenix-context (graph)
Work looks completephoenix-review → phoenix-ship

Guardrails (dynamic routing fails in specific, known ways — design against them)

  • Oscillation guard. Keep a short route history. If you route to the same pair of skills back and

forth, or pick the same skill 3× with no state change, stop and escalate — that's a planning problem, not a routing one.

  • Confidence fallback. If the right next skill isn't clear, route to phoenix-think, don't guess.
  • Re-sense, don't cache. Decide from a fresh read of state (the trace, the backlog, a real

phoenix_sense), never a remembered summary — stale state causes wrong routes.

  • Every executed step still ends in an objective gate. Routing chooses what; phoenix_sense

decides whether it worked. Dynamic routing never relaxes the verification law.

  • Bounded. A cap on total steps; on exhaustion, report state honestly rather than looping.

Common Rationalizations

RationalizationReality
"I'll keep routing until it works out."Unbounded routing is just an expensive infinite loop. Cap steps; escalate when stuck.
"I routed here last step, I remember the state."Re-sense. Acting on cached state is the #1 cause of wrong routes.
"Confidence is low but I'll pick something."Low confidence → phoenix-think. Guessing the route wastes a whole step.
"This step's result looks right, route onward.""Looks right" isn't a gate. phoenix_sense before you route on a result.

Red Flags — stop

  • You've bounced between two skills more than twice. → Escalate; it's a planning problem.
  • You're routing based on what you think the state is. → Re-sense from disk/trace first.
  • A step "succeeded" with no phoenix_sense. → No gate, no progress; verify before routing on.

Relationship to the other skills

phoenix-auto is opt-in: the base phoenix router stays a stable fixed tree and dispatches here only when you explicitly ask for autonomous mode or when .phoenix-ralph/ state is present. For a known backlog it will usually route straight into phoenix-ralph; for a vague goal, into phoenix-goal.

Security

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