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Claude Science & Research Skills (Page 73 of 118)

Research automation, paper analysis, hypothesis testing, data science, biology, physics, and academic writing skills for Claude Code.

7,076 skills · updated 2026-07-12 · showing 4321–4380 of 7,076 by quality score

Sub-topics:Research Methods (1,844)Biology Medicine (1,070)Math Stats (901)Physics (297)Chemistry (109)Data Science Research (101)Earth Environment (57)Ml Research (27)

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Application of naturalistic decision-making research to law enforcement expertise and field decisions
Use when you have negative-mode MS/MS spectra with annotated molecular formulas and negative adducts (from repositories like MassIVE or MetaboLights), and your current formula…
Use to confirm clinical ethics and research-integrity requirements for an NEJM submission — IRB/ethics-committee approval and informed consent per the Declaration of Helsinki,…
Use to enforce NEJM's clinical statistical reporting — confidence intervals over bare P values, the pre-specified intention-to-treat primary analysis, multiplicity control for…
Use as the final preflight before submitting to NEJM — a complete clinical checklist across significance, registration, reporting guidelines, abstract, statistics, display items,…
Update the evaluation scratchpad with latest experiment results. Use when the user wants to record findings from an evaluation round to the working scratchpad document.
Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next — from…
Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimod — from…
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding re — from…
Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env — from…
Use when you have an untargeted metabolomics feature table with m/z values, retention times, intensity measurements, and p-values from statistical testing, but lack or wi — from…
Use when when you have m/z values from spatially-resolved mass spectrometry imaging (MSI) and need to predict their molecular formulae with high precision.
Use when you have a GNPS GraphML molecular network and need to isolate cohesive subsets of spectra (components) before analyzing which fragmentation patterns explain them.
Use when after executing a molecular networking workflow on GC-MS data that has been processed through auto-deconvolution, and a published reference network exists from a prior…
Use when after identifying statistically significant features and assigning them to structural clusters (isotopologue groups, adduct groups, cross-assay links) and correlation…
Use when you have MS/MS spectra with unknown precursor m/z values and need to assign the most likely chemical formula and adduct type (e.g., [M+H]+, [M+Na]+, [M+K]+) in a de novo…
Use when when you have paired or unpaired MS/MS spectra and need to compute structural similarity scores without explicit molecular fingerprint computation, or when you want to…
Use when when training a deep neural network on paired MS/MS spectra to predict structural similarity scores, especially when the training dataset is moderate-sized (109,734…
Use when your input is a corpus of MS/MS spectra with annotated molecular formulas and adduct types that represent a new ionisation mode, instrument type, or adduct chemistry not…
Copywriting con neurolinguistica, neuropsicologia, neurocolori, frizione psicologica, CTA ad alta conversione, psicologia della persuasione, psichiatria comportamentale applicata…
ADHD and neurodivergent-aware interaction rules for founders using Claude Code for business operations.
Creates ADHD-friendly visual organizational tools using Mermaid diagrams optimized for neurodivergent thinking patterns.
Python toolkit for neurophysiological signal processing: ECG (HR, HRV, R-peaks), EEG (complexity, PSD), EMG (activation onset), EDA/GSR (SCR decomposition), PPG, and RSP.
Use when targeting Neuron or deciding whether a neuroscience manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style,…
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assis — from…
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assis — from…
Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles
Neuroscience expert covering brain structure, neural signaling, cognition, and neurological disorders
Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV,…
Use when targeting New Journal of Physics (NJP) or deciding whether a broad-physics manuscript fits this open-access IOP/DPG venue.
비어있는 현재 디렉토리를 "누구나 술술 읽고 이해되는" 논문 학습 환경으로 부트스트랩한다. PDF 전체 + 필요한 외부 배경지식까지 조사해 notes 7개와 glossary를 서사형으로 채운다. 결과물은 원문 대신 이 파일들만 읽어도 이해되게 만드는 것이 목표.
Use for external research, source discovery, trend analysis, competitive intelligence, and gathering current information before writing or analysis.
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public data — from…
Create scalable, containerized bioinformatics pipelines with Nextflow DSL2 supporting Docker, Singularity, and cloud execution.
Dataflow workflow engine for scalable bioinformatics pipelines. Defines processes (containerized tasks) connected by channels; runs local, HPC (SLURM/SGE), cloud (AWS/GCP/Azure),…
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation.
Run or plan bulk RNA-seq FASTQ-to-count processing with sample-sheet, strandedness, genome annotation, alignment or pseudoalignment, MultiQC, and count-matrix QC checks.
Run or plan targeted DNA panel variant workflows that use UMIs, duplex consensus reads, molecular barcodes, low-frequency calling, target coverage, and panel-specific QC.
Reference for nimble search command. Load when searching the live web. Contains: all flags, 8 focus modes (general/coding/news/academic/shopping/social/geo/location), search_depth…
Manages Google NotebookLM notebooks via the nlm CLI. Use for creating notebooks, listing and syncing sources, uploading files/URLs/text, chatting with sources, generating…
Use when when you have normalized peak intensity matrices from FT-ICR MS data or other high-resolution metabolomics experiments and need to visualize sample relationships and…
Use when you have a trained multitask machine learning model for structure prediction, test set molecules with paired ¹H and ¹³C NMR spectra, and need to understand the marginal…
Use when you have proton (1H) and carbon-13 (13C) NMR peak measurements from a molecular sample and need to classify the molecule using the SMART 3 deep learning API.
Use when when working with raw 1H NMR FID data acquired on instruments like Bruker Avance spectrometers that require baseline correction, phase adjustment, and signal alignment…
Use when you have 1D NMR spectra (¹H or ¹³C or both) for an unknown organic compound with ≤19 heavy atoms and need to rapidly predict its molecular formula and connectivity graph…
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Forces the model to think twice before making any factual claim. Use to prevent false claims, fabrications, and overconfident guesses from slipping into output.
Expand seed keywords into comprehensive keyword lists using NodesHub Query Fan-out API. Generates related queries, questions, long-tail variations, and topic clusters.
Provides domain-specific best practices for Node.js development with TypeScript, covering type stripping, async patterns, error handling, streams, modules, testing, performance,…
Use always when writing code, debugging, reviewing code, researching docs/papers/APIs, recalling earlier conversation, taking user corrections, or answering any technical question…
Use when you have metabolomics intensity data with peak annotations, and you want to rank and prioritize metabolite groupings (Molecular Families, Mass2Motifs, or other…
Generates complete conventional non-oncology diagnostic machine-learning research designs from a user-provided disease context, optional mechanism theme, and validation d — from…
Expert guidance for auditing, refactoring, and designing machine learning Jupyter notebooks with production-quality patterns.
NotebookLM CLI automation for this workspace: authenticate/login, list/create/use/rename/delete notebooks, ask/configure chat, manage sources/notes/sharing, research status, and…
Guide for managing Google NotebookLM from the command line using nlm CLI. Use when the user wants to create notebooks, manage sources, generate audio overviews, or mentions…
NotebookLM MCP server management - query notebooks, add from share links, handle auth, reset sessions.
Advanced conversational research and document analysis with session-based RAG. Upload documents, ask questions with context preservation, synthesize knowledge across sources, and…
Rules for categorizing notes into planning, programming, and biology directories. Includes keyword matching, file formatting, and special commands like TODO archival.
Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
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