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claude-config

claude-config contains 10 collected skills from michaelrizvi, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
10
Stars
11
updated
2026-03-14
Forks
1
Occupation coverage
6 occupation categories · 100% classified
repository explorer

Skills in this repository

michael-writing
editors

Apply Michael's academic writing style when drafting or editing text. Use when writing LaTeX prose, paper sections, abstracts, or any academic text for Michael.

2026-03-14
slurm
network-and-computer-systems-administrators

Help write, debug, and manage SLURM jobs. Use when the user asks about sbatch, salloc, squeue, job scripts, or cluster resource allocation.

2026-03-14
review
software-developers

Review code for bugs, style issues, and correctness. Use when the user asks for a code review, review, or CR.

2026-03-04
bash
computer-programmers

Help write, debug, or improve bash/shell scripts. Use when the user asks for help with shell scripting, bash, or sh.

2026-02-10
experiment
data-scientists-152051

Help scaffold, configure, and launch ML experiments. Use when the user wants to set up a new experiment, training run, or evaluation.

2026-02-10
git
software-developers

Help with git operations — branching, rebasing, cherry-picking, history inspection, and conflict resolution. Use when the user asks for git help beyond simple commits.

2026-02-10
latex
software-developers

Help with LaTeX writing, formatting, and debugging. Use when the user asks about LaTeX, papers, equations, TikZ, Beamer, or BibTeX.

2026-02-10
paper
technical-writers

Help read, summarize, and analyze academic papers (PDF or text). Use when the user asks to summarize a paper, extract key results, or compare with related work.

2026-02-10
plot
data-scientists-152051

Help create paper-quality plots and figures with matplotlib or seaborn. Use when the user asks for plots, figures, or visualizations.

2026-02-10
pytorch-debug
software-developers

Debug PyTorch errors including dtype mismatches, device errors, shape issues, gradient problems, and OOM. Use when the user hits a PyTorch runtime error or wants help tracing a bug.

2026-02-10