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Select varied tasteful visual grammars for HTML-first academic and technical decks so outputs do not look like one repeated template.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | visual-grammar-selector |
| description | Select varied tasteful visual grammars for HTML-first academic and technical decks so outputs do not look like one repeated template. |
This is a generated bridge for visual-grammar-selector.
The canonical workflow lives in .codex/skills/visual-grammar-selector/SKILL.md.
.codex/skills/visual-grammar-selector/SKILL.md before doing substantive work.docs/AGENT_WORKFLOW.md and treat slide generation as a compiler loop: source, IR, render, audit, inspect, revise.outputs/ and avoid hand-patching final PPTX files unless the user explicitly asks.Edit the canonical .codex/skills file, then run uv run python scripts/sync_agent_skill_bridges.py to refresh this bridge.
Build and refine claim-led academic or technical slide decks with Academic Deck Compiler. Use when the user asks for tasteful research slides, PPTX, Beamer, paper talks, technical portfolios, or multi-agent slide iteration.
Build HTML-first researcher or project profile slides that borrow the information architecture of polished academic homepages such as PRISM, with dense but clean identity, publication, project, and news-style layouts.
Use the vendored beautiful-html-templates library as a tone-first reference or HTML template source for tasteful academic, technical, profile, and product decks. Trigger when the user asks to use beautiful-html-templates, wants more varied HTML slide aesthetics, or needs a template shortlist before rendering.
Review rendered contact sheets for HTML-first academic or technical decks, deciding what to keep, discard, and change next based on aesthetics, readability, evidence clarity, and slide-to-slide cadence.
Run a disciplined design-context workflow for HTML-first slides: verify facts, collect assets, choose visual grammar, make 2-slide showcases, compare directions, and critique outputs to avoid AI-slop.
Choose, crop, and judge images for tasteful research slides, prioritizing proof surfaces over decorative screenshots, portraits, logos, or generic AI visuals.