surajinacademia

Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.

Remove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns. Trigger this skill whenever the user asks to "deslop", "de-AI", "make it sound human," "remove AI patterns," "remove AI tropes," "clean up AI writing," fix "slop," "deslop" text, or review prose for authenticity. Also use when the user asks you to write or draft anything and wants it to sound natural rather than AI-generated. Common use cases include scientific writing (manuscripts, abstracts, cover letters, grant narratives, discussion sections, peer review responses), blog posts, newsletters, memos, reports, and any other substantial prose.

Generate, update, and modify publication figures for the multicellular compaction project. Handles jupytext .py/.ipynb pairing, minimalist science style, LaTeX sizing, SVG output, and compaction_analysis/compaction_plotting imports. Use when: editing figure scripts, adding panels, fixing axes/colors/legends, styling error bars, saving figures, or creating new figure scripts.

Generate scientifically accurate visual output from descriptions of scientific concepts or models. Use for sketches, figures, schematics, diagrams, publication graphics, Excalidraw drafts, Matplotlib figures, or TikZ output.

Scientific writing assistant for biophysics and soft matter manuscripts. Writes, edits, and revises LaTeX research papers for physics journals (PRL, PRE, Biophysical Journal, Soft Matter). Uses IMRAD structure with combined Results and Discussion. Handles figure captions, LaTeX equations (revtex4-2), numbered APS citations, and terminology consistency. Use when: writing or editing paper sections, drafting figure captions, formatting equations, checking terminology, revising prose, responding to reviewer comments, or any task involving the manuscript.

Guide for creating effective Codex skills. Use when users want to create a new skill or update an existing skill with specialized knowledge, workflows, references, scripts, or tool integrations.

Runs reproducible Fiji/ImageJ batch analysis via the Fiji MCP server—either the bundled MCP-stdio report script or the same tool sequence through an MCP client. Use when generating the comprehensive image analysis report, batch-processing demo_images, driving health_check/open_image/run_macro/search_commands, or when the user mentions Fiji MCP image workflows, microscopy batch reports, or stdio-safe ImageJ macros.

Run Fiji/ImageJ analysis through the Fiji MCP stdio server—env vars (FIJI_PATH, FIJI_MODE, FIJI_MCP_PYTHON, FIJI_DATA_ROOTS), headless MCP, stdio-safe macros without print(), health_check and tool sequencing, optional batch report script from a fiji-mcp-server checkout. Use for Fiji MCP workflows, microscopy batch reports, or MCP/macro config.

Syncs the academic CV webpage (/cv/) with the LaTeX source of truth at resume/cv.tex. Use when the user says 'update the CV page', 'sync the CV', 'my CV page is out of date', 'I updated my CV', or asks to reflect cv.tex changes on the website. Reads resume/cv.tex, extracts all sections, updates src/data/pages/cv.ts with structured content, and updates src/pages/cv.astro to render any new sections.