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Agent skills

Reusable instructions for compatible AI agents.

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Agent skill

🧬 nfcore-rnaseq-wrapper

Wrapper skill for running nf-core/rnaseq bulk RNA-seq preprocessing from FASTQ or BAM inputs with strict preflight, reproducibility outputs, and downstream handoff to ClawBio bulk RNA-seq DE skills.

OpenClawData & Analytics
ClawBio1,173
Agent skill

Outlier Splicing Detection

Detects aberrant splicing in single rare-disease patients vs a control panel using FRASER 2.0 (Bioconductor; Beta-binomial autoencoder on Intron Jaccard Index, default delta cutoff 0.1, q hyperparameter), OUTRIDER (gene-level outlier expression via autoencoder denoising), LeafcutterMD (Dirichlet-...

ClaudeCodexOpenClawData & Analytics
GPTomics1,232
Agent skill

Molfeat - Molecular Featurization Hub

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

OpenClawData & Analytics
ljchg12-hue1
Agent skill

Firecrawl Research Patterns

Programmatic Firecrawl usage, self-hosted operations, academic paper routing, recursive deep research, and raw corpus persistence.

ClaudeData & Analytics
terrylica2
Agent skill

pyvene: Causal Interventions for Neural Networks

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

OpenClawData & Analytics
davila733,110
Agent skill

RWKV - Receptance Weighted Key Value

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

OpenClawData & Analytics
davila733,110
Agent skill

pyvene: Causal Interventions for Neural Networks

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

OpenClawData & Analytics
Dicklesworthstone1,960
Agent skill

RWKV - Receptance Weighted Key Value

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

OpenClawData & Analytics
Dicklesworthstone1,960
Agent skill

Implement MoE-Mamba Model for Text Generation

Implement a PyTorch-based MoE-Mamba model featuring an input-dependent selection mechanism and Mixture of Experts (MoE) layer for text generation tasks, including data loading, training, and evaluation workflows.

OpenClawData & Analytics
ECNU-ICALK610

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