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OpenLAIR
GitHub creator profile

OpenLAIR

Repository-level view of 89 collected skills across 1 GitHub repositories.

skills collected
89
repositories
1
updated
2026-07-13
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Where the skills live

Top repositories by collected skill count, with their share of this creator catalog and occupation spread.

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Repositories and representative skills

aris-ablation-planner
data-scientists-152051

Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.

2026-07-13
aris-analyze-results
data-scientists-152051

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

2026-07-13
aris-arxiv
postsecondary-teachers-all-other

Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.

2026-07-13
aris-auto-paper-improvement-loop
editors

Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.

2026-07-13
aris-auto-review-loop
data-scientists-152051

Autonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.

2026-07-13
aris-compute-guard
software-developers

Mandatory pre-flight compute resource check before running experiments. Detects whether local/remote GPU or compute resources are actually available. If resources are unavailable, STOPS the experiment pipeline immediately and reports to the user — preventing the model from hallucinating fake experiment results. Use when: about to run experiments, deploy training, or any GPU-intensive task.

2026-07-13
aris-dse-loop
computer-hardware-engineers-172061

Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says "DSE", "design space exploration", "sweep parameters", "optimize", "find best config", or wants iterative parameter tuning.

2026-07-13
aris-experiment-bridge
software-developers

Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.

2026-07-13
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