What problem does it solve? Coordinating a large feature build by hand means planning tasks, picking the right model for each, avoiding file conflicts between parallel workers, and losing all progress when a session crashes or compacts. This Skill runs that entire pipeline for you: intake, planning, scored parallel execution, review, verification, and shipping, with durable checkpoints that survive crashes and fresh-session resumes. ## Core Features & Use Cases - Scored parallel dispatch: Every task is scored 0-100 from planner-emitted facets and mapped to the cheapest capable model (Haiku through Opus 5), then executed by model-pinned subagents in conflict-free waves. - Durable run state: Checkpoints and state-of-play files are written eagerly to disk, so a long run survives compaction, crashes, and fresh-session resumes via a paste-able resume block. - Grounded plans and honest returns: Declared files are spot-checked with Glob before scoring, executors must return verbatim build/test evidence, and review findings require anchored file:line quotes before any fix. - Use Case: Ask it to build a merchant notification system; it drafts an intent spec for your sign-off, plans six tasks, dispatches them across three waves on appropriately cheap models, pauses on schedule, reviews and verifies the result, then commits, pushes, and opens a PR. ## Quick Start Use orc to build a user notification feature with parallel subagents and take it from intake to a pull request.