By linwei94
Full pipeline for AI/ML research papers (CCF-A venues) with live experiment dashboard. Covers Phase 0–12: setup, ideation, pilot, experiments, analysis, writing, rebuttal.
Open the Research Dashboard in browser (shows experiments, GPU status, results)
Ideation Agent — literature review + idea generation (Phase 1-2). Standalone mode: run on existing project. Team mode: spawned automatically by /auto-research:pipeline.
Lab Agent — pilot + full experiments (Phase 3-8). Standalone mode: run on existing project. Team mode: spawned automatically by /auto-research:pipeline.
Full AI/ML research pipeline (CCF-A venues: ICML, ICLR, NeurIPS, CVPR). Covers Phase 0-12: setup, ideation, pilot, experiments, analysis, writing, rebuttal.
Reviewer Agent — adversarial quality checker. Modes: E(idea) A(experiment design) B(pilot verdict) C(paper pre-review) D(rebuttal). Team mode: spawned automatically by /auto-research:pipeline.
Update the project dashboard with human-readable content — table names, method labels, insights, current findings. Reads research context (proposal, results, synthesis) and writes dashboard/meta.json. Triggers on "update dashboard", "更新dashboard", "dashboard更新", "写dashboard", "/auto-research:dashboard-update".
Open the Research Dashboard in the browser. Shows live experiment status (running/done/pending), host/GPU info, results table. Triggers on "open dashboard", "打开dashboard", "看实验进度", "看看实验", "/autoresearch-dashboard", "dashboard".
Ideation Agent — AI/ML research literature review and idea generation (Phase 1-2). Spawned by Pipeline Agent as a team member. Can also run standalone. Triggers on "ideation", "literature review", "idea generation", "文献调研", "想法生成", "找文献".
Lab Agent — experiment orchestrator for AI/ML research (Phase 3-8). Spawned by Pipeline Agent as a team member. Plans experiments, writes code, spawns Execution Sub-agents (one per experiment), collects results. Triggers on "lab", "experiments", "run experiments", "跑实验", "实验执行".
Full pipeline for AI/ML research papers targeting CCF-A venues (ICML, ICLR, NeurIPS, CVPR, etc.). Use this skill whenever the user wants to explore a research idea, do literature review, write a research proposal, plan experiments, design figures, or write a conference paper. Triggers on keywords like "research idea", "paper writing", "literature review", "experiment plan", "NeurIPS/ICML/ICLR/CVPR submission", or any AI research workflow. Always produces a full paper — no research-only mode.
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Claude Code plugin for AI/ML research papers targeting CCF-A venues (ICML, ICLR, NeurIPS, CVPR, etc.) with a live experiment dashboard.
/auto-research:pipeline — Full research pipeline (Phase 0–12: ideation → literature review → pilot → experiments → analysis → writing → rebuttal)/auto-research:ideation — Standalone ideation (Phase 1–2: literature review, idea generation, proposal)/auto-research:lab — Standalone lab (Phase 3–8: pilot and full experiments)/auto-research:reviewer — Standalone reviewer (7 modes: E=idea debate, F=code review, A=experiment design, B=pilot verdict, C=paper peer review, D=rebuttal strategy, G=paper consistency check)/auto-research:dashboard — Live experiment dashboard with 7 per-phase tabs (Setup/Ideation/Pilot/Experiments/Analysis/Writing/Rebuttal); experiment design tables with todo→pending→running→done cell states; click a done cell to open its W&B run directly/auto-research:dashboard-update — Update dashboard metadata for current project (human-readable table/method labels and insights)Before first use, install and authenticate the following:
| Tool | Purpose | Install / Auth |
|---|---|---|
wandb login | Experiment tracking | wandb.ai/settings |
huggingface-cli login | Checkpoint storage | hf.co/settings/tokens |
gnvitop | GPU availability check | Ask your sysadmin |
tmux | Agent progress display | apt install tmux / brew install tmux |
gh auth login | GitHub CLI (git ops) | cli.github.com |
uv | Python package runner | curl -LsSf https://astral.sh/uv/install.sh | sh |
supervisor | Local GPU experiment dispatch | See skills/pipeline/shared/supervisor-setup.md |
| SSH | Access to compute machines | Configure ~/.ssh/config |
TELEGRAM_BOT_TOKEN + TELEGRAM_CHAT_ID | Notifications | Set up via @BotFather; see skills/pipeline/shared/notifications.md |
# 1. Clone the repo
git clone https://github.com/Linwei94/claude-auto-research.git
# 2. Install plugin from local directory
claude plugin install ./claude-auto-research
# 3. Restart Claude Code
Skills will appear in the / menu after restart.
Type / in Claude Code to trigger either skill, or just describe what you want:
/auto-research:pipeline/auto-research:dashboard/auto-research:dashboard/auto-research:ideationLab Agent (orchestrator)
├── Environment Sub-agents × M (one per machine, Sonnet)
│ └── rsync → conda → GPU check → dry-run → write progress/env_<HOST>.json
└── Execution Sub-agents × N (one per experiment, Haiku)
├── exec_local.md — SSH + nohup (xuchang-lab*)
├── exec_c500.md — sco acp jobs create (C500 MetaX cluster)
└── exec_gadi.md — PBS/qsub (Gadi NCI cluster)
| Phase | Name | Owner |
|---|---|---|
| 0 | Setup | Pipeline Lead |
| 1–2 | Literature Review + Ideation | Ideation Agent |
| 3–5 | Pilot Experiments | Lab Agent |
| 6–8 | Full Experiments | Lab Agent |
| 9 | Result Analysis | Lab Agent + Reviewer |
| 10–11 | Paper Writing + Internal Review | Pipeline Lead |
| 12 | Post-Submission | Pipeline Lead |
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