Use when converting image-only PPTX decks, full-slide PNGs, screenshots, or raster slide images into editable PowerPoint; supports single-page and multi-page .pptx workflows with OCR, reconstruction, source crops, render QA, and fallback stickers.
웹툰 조립·레터링·검수·패키징 방법론. 렌더된 패널 PNG(말풍선·한글 대사가 이미지에 베이크됨)를 세로 스크롤 뷰어(index.html)로 오버레이 없이 조립하고, letterer의 말풍선/레터링 베이크 명세(대사·생각·외침·나레이션)를 설계하며, 웹툰 QA/검수(패널 수·레퍼런스 외형 일관성·배경 연속성·베이크 한글 텍스트 정확/가독·대사 흐름·반전 전달·손상/중복 이미지)와 회차 간 연속성 관리, 최종 패키징을 수행할 때 사용한다. episode-compositor·quality-reviewer·continuity-manager·showrunner와 letterer가 참조한다. 회차를 다시 조립·재조립·수정·보완하거나 재검수·업데이트할 때도 반드시 사용한다.
Use when writing MDX documentation pages for a Fumadocs project — frontmatter, meta.json, page ordering, and fumadocs-ui React components available inside MDX content.
Audit, prune, and update the project's governance docs — the COLD reference archives `codev/resources/arch.md` and `codev/resources/lessons-learned.md` AND their always-on HOT companions `codev/resources/arch-critical.md` and `codev/resources/lessons-critical.md` (Spec 987, hot/cold two-tier model). Use this skill when running MAINTAIN's arch-doc step, or when asked to update / audit / prune any of those four files. It polices the hot-tier cap (capped facts/lessons + a bounded cold-doc map), enforces displacement (demote to cold when full), keeps each hot file's map accurate, and is opinionated about what NOT to put in each tier (per-spec changelogs, exhaustive enumerations, aspirational state). Two modes: diff-mode (apply a specific change) and audit-mode (propose cuts with reasons). Edits files directly via normal file-edit tooling; no destructive shell commands.
Create a technical spec from a GitHub issue in this repository by applying the shared `write-tech-spec` workflow with Oz-specific issue context and output paths. Use when an issue should be turned into a tech spec artifact stored under `specs/GH<issue-number>/tech.md` and the agent should prepare file changes only, without creating commits or pull requests itself unless a cloud workflow explicitly asks for it.
Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.