next
End-to-end workflow for shipping one MASTER_PLAN task. Picks the next unblocked task, drafts a task-spec, implements via the right subagent, runs `just test` + `just lint`, auto-runs pr-review-toolkit self-review on commits ≥100 LoC of code, commits with a structured message, updates STATUS/CHANGELOG/DECISIONS, and stops. Designed for braindead-easy iteration — the user types `/next`, this runs the full loop, returns one shipped commit, and waits for the next `/next`. Pauses on ambiguity, out-of-scope file touches, repeated test/lint failure, design-doc changes, schema drift, or unauthorized hash drift. Replaces FW v1 `/duo-implement`'s per-slice Codex review with per-task self-review + phase-gate Codex review.
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paper-context-resolver
lllllllama/rigorpilot-skills
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
repo-intake-and-plan
lllllllama/rigorpilot-skills
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
minimal-run-and-audit
lllllllama/rigorpilot-skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
