This is a specialized illustration pipeline for a specific Chinese book about AI productivity. It analyzes manuscript chapters, identifies where diagrams would help, then uses subagent fan-out to generate image prompts in parallel before batch rendering them with a strict three-color palette. The workflow is opinionated: it enforces a 10-layout system (binary comparison, funnel, iceberg, etc.), includes prompt injection blocks to prevent AI clichés, and won't proceed without user confirmation at key gates. It's built for one book's visual system, not general purpose illustration work. If you're writing technical documentation with repeated visual patterns and need consistent batch illustration with human checkpoints, the architecture here is worth studying even if the content domain is narrow.
npx -y skills add jimliu/illustrated-agent-skills --skill book-illustrator --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot