guliqianxun

9 mods across 1 repository, 5 stars between them.

ai-research-manager

01

guliqianxun/research-skills

Skill Claude CodeCodex

Hypothesis-driven research workflow for turning research ideas into auditable study plans, experiment designs, execution tracking, and evaluation reports in markdown. Use this skill whenever the user is managing an AI or ML study across framing, experiment design, execution, evaluation, or research iteration; checking…

5 4mo ago A 122 tokens original MIT

analyst

02

guliqianxun/research-skills

Agent

Diagnose why a result is strong, weak, contradictory, or tainted, then choose the next action that maximizes evidence gain.

5 4mo ago A 0 tokens original MIT

evaluator

03

guliqianxun/research-skills

Agent

Turn raw experiment outputs into statistical evidence with explicit assumptions, effect sizes, confidence intervals, and robustness checks during the evaluating stage.

5 4mo ago A 0 tokens original MIT

framer

04

guliqianxun/research-skills

Agent

Turn a vague research direction into a measurable problem statement, explicit scope, and falsifiable hypotheses during the framing research stage.

5 4mo ago A 0 tokens original MIT

planner

05

guliqianxun/research-skills

Agent

Convert proposed hypotheses into experiment designs that are statistically defensible and budget-aware during the designing stage.

5 4mo ago A 0 tokens original MIT

runner

06

guliqianxun/research-skills

Agent

Execute experiments deterministically through approved IDE tools (terminal, python) during the executing stage.

5 4mo ago A 0 tokens original MIT

latex-to-word

07

guliqianxun/research-skills

Skill Claude CodeCodex

Convert LaTeX manuscripts (especially ctex / ctexart Chinese academic papers) to editable Word (.docx) while preserving cross-references for figures, tables, equations, and bibliography numbering, and while matching a target journal template's styling. Use this skill whenever the user wants to export a .tex file to…

5 4mo ago A 180 tokens original MIT

math-proof

08

guliqianxun/research-skills

Skill Claude CodeCodex

Construct, verify, and communicate mathematical proofs for ML theory — convergence rates, generalization bounds, architecture properties, optimization analysis, generative model theory, and scaling laws. Use when the user asks to prove a theorem about an ML algorithm, verify a convergence bound, analyze Lipschitz…

5 4mo ago A 184 tokens original MIT

torch-model-design

09

guliqianxun/research-skills

Skill Claude CodeCodex

PyTorch model design, computation graph analysis, profiling, and optimization — from architecture implementation to production-ready training and inference. Use when the user asks about implementing neural architectures in PyTorch, profiling FLOPs/memory/throughput, optimizing training speed or memory usage, debugging…

5 4mo ago A 205 tokens original MIT