Request a Codex review on the current PR, wait for it, auto-fix the findings, and loop until the review comes back clean. Use when the user wants to "run the codex review loop", "get codex to review and fix", "@codex review and fix the remarks", iterate on Codex/OpenAI PR review feedback automatically, or run /codex-review-loop. Drives the GitHub Codex bot (the `@codex review` PR comment) round after round until there are no more actionable remarks or a max-iteration cap is hit.
Pick up an issue that's ready for an agent and work it end-to-end. Reads the project issue tracker for issues carrying the AFK-ready triage label (default `ready-for-agent`), picks one, checks it's actually ready, then implements it via /tdd or /diagnose and opens a PR. Use when the user wants to grab an issue, work the next ready-for-agent ticket, start AFK work, or run /pickup. This is the "Work" entry point for the to-prd → to-issues → triage → pickup pipeline; it pairs with mattpocock/skills.
Audit a Swift/SwiftUI project's Localizable.xcstrings (and AppShortcuts.xcstrings) for missing translations, compute per-language coverage, find raw source-language literals still hard-coded in UI code, and bulk-translate the gaps. Source language is read from the catalog — works for any source language (en, nl, de, …).
Deep LLM-driven research over one or more YouTube channels' videos. Lists each channel's catalog, filters videos by topic relevance, transcribes only the relevant ones, then synthesizes a single cross-channel research document with timestamped citations. Use when the user runs /youtube-research or asks to research, summarize, analyze, compare, or extract topics from a YouTube channel, multiple channels, or a specific YouTube video. Subtitles-first via yt-dlp, falls back to local Whisper (mlx-whisper, whisper.cpp, or openai-whisper) for videos without subs. Uses a hidden workspace at ./.youtube-research/ for intermediate artifacts (channel indexes, transcripts) and writes the final research artifact to the current working directory. Asks the user before deleting the workspace at the end.
Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.