ar-research-writer

To draft an academic paper from a literature review, this skill translates validated scoping results into a track-specific manuscript structure. It reads workspace artifacts like scoping_report.json to generate sections including introduction, literature review, context, argument, and references.

Yes, this skill is specifically designed for arts and social sciences evidence synthesis. It applies humanities methodologies and interpretive framing to structure your argument development and integrate literature into a coherent manuscript draft.

You generate a manuscript by providing the workspace path and mode. The skill coordinates with a local Python environment and web search tools to refine evidence, reading status.json and scoping_report.json to output a structured draft.

Yes, this academic writing skill supports revision workflows. When using revision mode, it reads revision briefs from your workspace and optionally integrates web search results to refine evidence and update claims within the track-specific manuscript draft.

The best way to structure an argumentative essay draft is applying track-specific formatting (Track A, B, or C). The skill translates approved scoping outputs into aligned sections for context, argument development, and evidence synthesis tailored to humanities methodologies.

Yes, you need a local Python environment to run this academic drafting workflow. The skill coordinates with Python and web search tools to process workspace artifacts and generate the track-specific manuscript drafts from your scoping results.