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Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images.
Passed 14 of 21 test cases with the skill, and 6 of 21 without it.
and 8 more in the full report
9 fixed6 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am regenerating the outline for topic `cloud-storage`. An existing `outline.md` file already exists in `slide-deck/cloud-storage/`. What file handling procedure must be applied before writing the new outline?
| Checked | Without skill | With skill |
|---|---|---|
| Renames existing file using the pattern name-backup-YYYYMMDD-HHMMSS.ext before writing. | Missed | Passed |
The instructions your model reads when the skill loads.
Transform content into professional slide deck images. The deck is designed for reading and sharing (self-explanatory slides, logical scroll flow, social-media-friendly) rather than live presentation — that assumption drives every layout and density decision below.
When this skill prompts the user, follow this tool-selection rule (priority order):
AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.
When this skill needs to render an image, resolve the backend in this order:
EXTEND.md sets preferred_image_backend to a backend available right now, use it.auto, unset, or the pinned backend isn't available):
imagegen) — first, inspect your available-skills / tool inventory. If a skill named imagegen is listed, you are running inside Codex and MUST use it: invoke via the Skill tool with skill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codex imagegen's own args). Codex imagegen is the official raster backend in that runtime and outranks any non-native skill (e.g., baoyu-image-gen) unless the user has explicitly pinned a different preferred_image_backend.codex exec (codex-imagegen) — if the current runtime exposes no native imagegen skill but the codex CLI is on PATH with an active codex login, route through baoyu-image-gen --provider codex-cli (preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in references/codex-imagegen.md — load that file only when this branch is selected.GenerateImage) — if the runtime exposes a native GenerateImage tool, you are running inside Cursor and it outranks any non-native skill the same way Codex imagegen does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as description; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g., outputs/.../NN-xxx.png). Reference images go in reference_image_paths.image_generate), use it the same way.baoyu-image-gen), use it.⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation. Codex imagegen's own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do not silently emit SVG, write inline <svg> markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.
⛔ Never repair rendered text by painting over a generated bitmap. Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace slide titles, bullets, or any other text inside an already generated slide image. If text is wrong or unclear, regenerate from a corrected prompt, simplify the slide's on-image text, or ask the user which imperfect candidate to keep.
Setting preferred_image_backend: ask forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the ## Changing Preferences section below.
Prompt file requirement (hard): write each image's full, final prompt to a standalone file under prompts/ (naming: NN-slide-[slug].md) BEFORE invoking any backend. The file is the reproducibility record and lets you switch backends without regenerating prompts.
Concrete tool names (imagegen, GenerateImage, image_generate, baoyu-image-gen) above are examples — substitute the local equivalents under the same rule.
test cases passed, vs 6 / 21 without
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