What problem does it solve? Applying and reviewing a large multi-story change one piece at a time is error-prone: stories can be applied out of order, reviews can be skipped, and a failed review can silently let later stories build on unreviewed code. This skill automates the per-story apply-then-review loop with a hard halt gate so every story converges before the next begins. ## Core Features & Use Cases - Sequential apply-review orchestration: Launches the ptp:ptp-full-apply workflow that runs each story's apply agent then review agent to completion, halting the whole run if any story fails to converge. - Per-story model and effort resolution: Reads each story's effort.md to derive apply and review model/effort targets, defaulting safely to opus.high when missing, with one bounded review escalation to a more capable model. - Codex second-reviewer gating and telemetry: Resolves codex.mode before launch (STOP under required without Codex) and appends per-agent telemetry ledger rows after the workflow returns. - Use Case: After planning an epic with several stories, run /ptp:full-apply to apply and dual-review every story in dependency order, then get a three-bucket terminal report with per-story review tallies and a resume command for anything unprocessed. ## Quick Start Ask Claude to run /ptp:full-apply with a change selector or explicit change ids to apply and review each planned story in order.