Academic Figure Workflow Orchestrator

To generate an academic figure prompt from a research paper PDF, the orchestrator routes the input to a paper-analyzer and prompt-generation skills to extract key concepts and build a final, actionable figure prompt.

Yes, you can create publication-ready figure prompts from a code repository by routing the input through a repo-analyzer and architecture-extractor to map the structure into a coherent figure plan.

The best way to orchestrate academic figure planning is using a centralized workflow that analyzes your input format and routes it to the minimal necessary sub-skills, carrying compact handoff artifacts for reproducible outputs.

No, you do not need to manually select sub-skills; the orchestrator automatically analyzes your input and determines the minimal set of sibling skills, such as color-expert or architecture-extractor, required to produce the final prompt.

The handoff artifact mechanism works by maintaining compact records like the figure plan and palette decision throughout the routing process, ensuring safe, repeatable outputs across the sub-skills.

A limitation of using this orchestrator for academic figure generation is that it relies entirely on routing inputs to available sibling skills, meaning outputs are constrained by the capabilities of those specific sub-skills.