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Claude Code plugins for academic research and development: literature search, grant writing and review, manuscript preparation, figures, presentations, project lifecycle management, neuroinformatics, and cloud GPU provisioning for model training
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Then install any plugin below by name — each page has its exact command.
Project lifecycle toolkit: initialization, cross-agent user-instruction setup, tracked project memory, tiered model routing, epic/sprint workflow, PR review, onboarding, planning, debugging, engineering loop, manager loop with a live board, agent fan-out, CI/CD, Docker, security, and document processing
17 skills · 5 commands · 3 agents
Publication-quality figures plugin. Seven skills + one QA agent: scientific-figure (svgutils composer with font validation; Inkscape/cairosvg export); transparent-icons (flat scientific icons via Codex CLI, OpenAI Images API, or explicit Atlas Cloud); svg-figure (schematic authoring with consistency guidelines plus an editor-handoff reference and editor_prep.py pass for Illustrator/Affinity-editable masters); svg-primitives (mm-precise SVG builder in Python: auto-fit boxes, tangent-correct arrows on straight/cubic/orthogonal routes, multi-waypoint paths, brackets/annotations/groups, layered z-order); ai-full-figure (AI substrate + programmatic label/arrow/scale-bar overlay); plot-styling (library decision tree + SciencePlots recipes for Nature/IEEE/Science/Cell/PNAS/APS); figure-qa agent (type-dispatching QA across SVG/raster/plot-script with strict programmatic-vs-VLM separation).
8 skills · 1 agent
Academic manuscript toolkit: literature review (multi-phase citation-traceable + single-pass thematic), peer review, writing, journal-specific formatting with semantic-line-break safety, polished Word/DOCX reference templates with inline or end-of-document figures, and humanizer pass to remove AI-writing tells
5 skills · 1 agent
Grant proposal toolkit: NIH/NSF and SBIR/STTR writing with mechanism-specific templates, merit and readability review, and figure quality assurance
3 skills · 2 agents
Neuroscience data standards and experiment design: BIDS conversion/validation, HED annotation, and PsychoPy experiment scaffolding
2 skills · 1 agent
Machine-learning training and benchmarking on rented cloud GPUs: prebaked RunPod images that boot in seconds instead of minutes, pod lifecycle scripts, GPU selection and pricing ladders, and the provisioning pitfall catalog
1 skill
Academic literature search, citation management, PDF retrieval, identifier conversion, and BibTeX export
1 skill
Presentation builder: create interactive Reveal.js presentations from JSON with Mermaid diagrams, LaTeX math, code highlighting, and animated reveals
1 skill
Shows how many plugins this repo ships, and links here.