Scan to join WeChat groupBrowse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
Install or reconcile research-project safety rules and protected folder boundaries for data, code, outputs, and paper sources. Use when a project lacks guardrails or is being migrated into the governe…
Proofread a LaTeX academic paper across eleven language, notation, citation, and consistency categories. Use when the requested task is bounded proofreading rather than substantive rewriting, clarity …
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Search PubMed, fetch article metadata, traverse citation graphs, and look up MeSH terms from the command line. Use when: (1) Searching PubMed with Boolean/MeSH queries, (2) Fetching article details by…
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you ne…
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 fo…
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of n…
Structured methodology for constructing and verifying mathematical proofs in statistical research
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Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use…
Generate a Reveal.js HTML presentation from Markdown. Use when the user asks to generate a Reveal.js HTML presentation from Markdown.
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling.…
數學證明撰寫技能 — 從主張提取到 LaTeX 排版的完整證明工作流。當使用者需要撰寫或驗證數學定理、引理、命題的形式證明，或需要推導公式、整理理論分析時，一定要使用此技能。觸發詞包括：數學證明、prove、theorem、lemma、proposition、推導、理論分析、寫 proof、LaTeX 數學、formal proof。適用於機器學習理論、統計學習理論、最佳化等需要嚴謹數學推導的場景…
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Strategic publication planning and venue selection for research
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange interven…
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Arbitrate conflicting reports into a source-grounded claim audit and reconciled synthesis.