.claude/skills/covercraft-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Use this skill when the user wants to analyze, design, optimize, recreate-in-spirit, or batch-produce thumbnails/covers for Bilibili, YouTube, Xiaohongshu, Douyin, WeChat Channels, public-account articles, courses, AI tools, knowledge IP, or product content. The skill produces strategy-first cover briefs, no-text image-generation prompts, platform-specific layout specs, portrait-consistent asset directions, A/B variants, technical QC, and iteration plans. It learns visual logic from references without copying prot…
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.claude/skills/covercraft-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/covercraft-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/covercraft-skillRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:227383cf21c28207aaad46b4b4a6818925942bbdf2afa4cf9ab6c6cea703be14.gitignoreexamplesexamples/01_douyin_ai_warning.mdexamples/02_bilibili_horizontal_tutorial.mdexamples/03_xiaohongshu_clean_checklist.mdexamples/04_youtube_extreme_hook.mdexamples/05_course_conversion_cover.mdexamples/06_portrait_asset_bank.mdexamples/07_cover_diagnosis.mdexamples/08_batch_titles.mdoutputsoutputs/sample_batch_briefs.jsonoutputs/sample_batch_briefs.mdoutputs/sample_prompt_pack.mdoutputs/sample_qc_report.jsonoutputs/sample_qc_report.mdQUALITY_REPORT.mdREADME.mdscriptsscripts/batch_cover_brief.pyscripts/prompt_pack_builder.pyscripts/thumbnail_technical_qc.pyskill-card.mdSKILL.mdtemplatestemplates/intake_form.mdtemplates/output_contract.mdtemplates/platform_rules.jsontemplates/prompt_pack_schema.jsontemplates/style_guide_schema.jsonCoverCraft Skill v2.0 introduces a comprehensive workflow and best practices for producing high-performance, safe, and scalable cover/thumbnail designs across Chinese and global content platforms. - Strategy-driven system: Transforms content titles, references, and user goals into actionable cover production briefs and iteration plans. - Multi-platform support: Provides platform-adaptive strategies, no-text image prompts, and typographic guides tailored to Bilibili, YouTube, Xiaohongshu, Douyin, WeChat Channels, and more. - Strong reference logic: Learns visual logic from reference covers, ensuring originality and IP safety—never directly copies layouts or copyrighted materials. - Consistent portrait asset generation: Maintains character likeness across covers, enabling reusable image assets and batch production. - Quality control and A/B/C variants: Outputs multiple cover directions wi…