Jincheng Lou
Community@loujc · Beijing
My name is Jincheng Lou, I'm a phd candidate of EECS at Peking University. My research interest is AI for EDA.
Agent Skills by Jincheng Lou
Showing 32 vetted skills indexed across 1 GitHub repositories.
paper-write
Generate structured LaTeX paper sections from outlines and narrative sources.
proof-writer
Generate formal ML/AI theory proofs with explicit assumptions and notation.
research-refine-pipeline
Orchestrate research refinement and experiment planning into a final proposal and plan.
auto-review-loop-llm
Loop reviewer and executor to score, critique, and rework ML research projects.
experiment-plan
Transform refined research proposals into structured experiment plans with claims and timelines.
idea-creator
Generates and ranks research ideas with pilot plans and evaluation metrics.
grant-proposal
Draft structured grant proposals for multiple agency formats and reviewer expectations.
monitor-experiment
Monitor SSH sessions and collect experiment outputs and metrics.
research-pipeline
Orchestrate autonomous research workflows from idea discovery to submission-ready papers.
research-refine
Transform vague research directions into anchored, testable plans with validation artifacts.
idea-discovery
Automate end-to-end idea discovery from broad topics to validated reports.
paper-compile
Compile LaTeX papers into PDFs and auto-fix common errors.
analyze-results
Parse JSON/CSV experiment results and compute metrics versus baseline.
paper-figure
Generate publication-quality figures and LaTeX-ready tables from JSON/CSV data.
run-experiment
Deploy and execute machine learning experiments on local or remote GPU environments.
auto-review-loop
Automate iterative review cycles of research artifacts via Codex MCP until positive assessment.
paper-plan
Generate a section-by-section paper outline from narrative documents and experiment results.
pixel-art
Generates scalable pixel-art SVG illustrations from natural language scene descriptions.
feishu-notify
Delivers Feishu/Lark notifications for ARIS events via webhook or interactive bridge.
idea-discovery-robot
Orchestrate a robotics idea discovery workflow from problem framing to critical review.
arxiv
Search arXiv by query or ID and summarize paper metadata and PDFs.
experiment-bridge
Implement ML experiments from EXPERIMENT_PLAN.md and deploy to GPUs.
auto-review-loop-minimax
Automate multi-round external review loops for ML research using MiniMax.
novelty-check
Cross-check research methods against arXiv and conference literature for novelty.