shubham0704
UserSkills that help YOU operate at staff-researcher level. The agent does the grunt work; you stay in the driver's seat. A proper workflow for polishing ideas, expressing them rigorously, and implementing them properly. Works with Claude Code + Codex.
Categories
Indexed Skills (10)
animating-computational-mechanics
Animate continuum mechanics, tensor calculus, and finite element concepts — deformation gradients, polar decomposition, Cauchy/Piola–Kirchhoff stresses, weak form, mesh convergence — using Matplotlib (FuncAnimation), Manim (ValueTracker / apply_function / Transform), or Blender (bpy + ParaView .obj pipeline). Use when the user wants to make a video for a lecture, paper, or supplement that animates a mechanics concept; when a static figure is failing to convey time evolution or deformation; when the user references the Flaschel 2026 / DrSimulate gallery; when importing FEM simulation results into Blender for photoreal rendering. Trigger proactively if the user mentions animating F, tractions, the weak formulation, or 'making this figure move'. Distilled from Flaschel, *Computer Applications in Engineering Education* 2026 (open access).
_template
One-line WHAT this skill does + two to three sentences on WHEN to trigger it. Be specific about contexts and use a pushy tone — skills undertrigger by default. Mention related phrases the user might say even when they don't name the skill explicitly. Replace this with your own description.
enhancing-latex-lectures
Enhances LaTeX lecture notes by analyzing pedagogical reference materials (like Todorov's PDFs) and systematically adding stunning visualizations, concrete examples, and intuitive explanations. Use when the user requests improving lectures, adding visualizations from papers, or adopting another author's teaching style.
paper-discourse-graph
Audit LaTeX papers as discourse graphs when paragraph flow, story continuity, readability, reader-state breadcrumbs, payoff chains, or figure/equation placement matter. Use when the user asks whether a section feels abrupt, wasteful, machine-generated, monotonous, hard to parse, or wants to zoom in/out across paragraphs before editing.
plan-to-dag
Convert large multistep plans, implementation roadmaps, architecture plans, migration plans, or vague next-step requests into dependency-aware DAGs with execution waves, parallel worksets, ownership boundaries, validation gates, and subagent-ready prompts. Use when the user asks for a task graph, DAG, wave plan, dependency plan, implementation breakdown, or subagent prompt pack.
refining-ml-papers
Refines ML/scientific LaTeX papers based on reviewer or advisor feedback. Handles structural reorganization (moving problem statements, merging sections), concrete instantiations of abstract tables, cross-file deduplication, and compilation verification. Use when the user requests paper revisions, addresses reviewer comments, restructures sections, or improves exposition clarity.
rpi-workflow
Research-Plan-Implement workflow with Codex peer review. Use when the user says /rpi, asks to start a research-plan-implement cycle, wants Codex review on a plan, or needs to create research docs, plans, or implementation reports following the RPI protocol.
tikz-figure-review
Review and fix alignment, label collision, clipping, legend-over-data, overlap, and layout issues in TikZ and pgfplots figures inside LaTeX documents. Use when the user wants to review figures in a paper, tutorial, lecture notes, or thesis before submission; when a reviewer flags figure problems; when a rendered figure visibly has overlap, clipping, or label collisions; when setting up a per-figure review workflow across a large document; or when the user shows a screenshot of a figure that looks wrong. Trigger proactively whenever the user mentions figure alignment, TikZ layout, pgfplots legends/axes, figure cleanup, or asks to fix a figure — even if they don't explicitly say 'review'. Covers a fast iteration loop: extract each tikzpicture into a standalone, compile to PNG, fix, sync back to the main file.
rigorous-paper-author
Draft or revise a mathematically rigorous LaTeX research paper for theory-heavy ML, scientific computing, numerical analysis, control, geometry, or applied mathematics. Use when the user wants help planning the paper, structuring sections, formalizing notation, deciding theorem/proof obligations, specifying complexity or convergence claims, designing figures, or improving global flow and cross-references. Do not use for final QA-only review without drafting or restructuring work.
rigorous-paper-reviewer
Review a LaTeX research paper for mathematical rigor, notation consistency, proof obligations, numerical-analysis discipline, complexity claims, convergence/error bounds, figure quality, reader-state flow, cross-references, and global coherence. Use when the user wants a deep technical review or verification pass on a paper, supplement, or LaTeX project; also trigger when the user asks whether text sounds wasteful, machine-generated, clear, simple, readable, well-flowing, compressed, rhythmic, or wants to zoom in/out paragraph by paragraph. Do not use for initial drafting unless the user explicitly asks for review-first feedback.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.