Generates a cover image through KrillinAI CLI from a complete prompt describing the title, language, composition, and style. Also checks image-provider configuration, validates the output image, and confirms that the submitted prompt was saved accurately.
Use when generating a cover image with the KrillinAI CLI from a complete image prompt, including validating image-provider configuration and inspecting the generated image and saved prompt.
Review the instructions the agent will receive before you install.
Use this skill for the implemented cover command. Read skills/krillinai-cli/references/cli-contract.md first for binary location, execution working directory, configuration, and JSON behavior.
(cd "$KRILLINAI_CWD" && "$KRILLINAI_CLI" cover \
--workdir "$WORKDIR" \
--prompt "$COVER_PROMPT" \
--size 1536x1024)
The prompt must already contain the desired title text, language, composition, visual style, and any useful source-video context. The current CLI does not expose a reference-image argument and does not automatically send origin_cover.jpg to the image model.
--workdir: an existing or new task directory.--prompt: required final prompt sent to the configured image model.--size: optional image size; the default is 1024x1024.[image] configuration in <execution-cwd>/config/config.toml.generated_cover.pngcover_prompt.final.txtkrillinai_manifest.jsoncover --dry-run validates the command and writes a manifest, but it does not call the image model or create generated_cover.png.
"ok": true.generated_cover.png is non-empty and decodable as an image.cover_prompt.final.txt exactly records the submitted prompt.No reviews yet. Tell others what you thought.
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Choose and operate KrillinAI CLI commands for subtitles, dubbing, video rendering, covers, and speech. This skill guides setup and helps interpret structured responses, output records, generated files, and errors.
Validate a KrillinAI production plan combining subtitles, dubbing, landscape or portrait videos, and covers. The skill explains how to run stages separately, verify their files, and resume failed work using existing outputs.
Render landscape videos with KrillinAI CLI, combining original footage with bilingual subtitles or prepared dubbed footage with target-language subtitles. Optionally replace audio, adjust subtitle styling, and verify the output video and subtitle placement.
Render portrait videos with KrillinAI CLI using short bilingual subtitles or prepared dubbed footage with target-language subtitles. Add titles and check the resulting video for readable captions, working audio, and correctly displayed text.
Creates original-language, translated, and bilingual SRT subtitle files from YouTube links, local videos, or other supported media. Uses platform captions when available, falls back to Whisper transcription, and provides subtitle output for short vertical videos.
Creates target-language speech from SRT subtitle files using KrillinAI CLI, with optional dubbed video output. Covers voice selection, choosing the target lines in bilingual subtitles, and checking the generated audio and video files.