Best Claude skills for research
Research skills make your agent search wider and cite better: multi-source deep research, academic paper pipelines, literature reviews and trend scans across Reddit, X, YouTube and Hacker News. The best ones keep a source list and separate facts from interpretation.
359 research skills · ranked live · November 2026
The top 10. Ranked by the Alyn Score.
- 1#1

Matt Pocock
Research
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or…
321k33MScore 89 - 2#2
Corey Haines
Marketingskills
Corey Haines
Customer Research
When the user wants to run or synthesize customer research, or asks what customer quotes, reviews, or feedback really mean, what is safe to conclude, and what to ask next: interviews…
60k6.3MScore 88 - 3#3

Addy Osmani
Source Driven Development
Grounds every implementation decision in official documentation. Use when you want to verify an approach against the official docs before implementing it, or when you want authoritative…
115k1.8MScore 85 - 4#4
K-Dense
Scientific Agent Skills
K-Dense
Alphagenome
Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq…
57k328kScore 84 - 5#5
K-Dense
Scientific Agent Skills
K-Dense
Analytical Method Validation
Plans, executes, and documents validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP //, ICH M10 bioanalytical, CLSI EP, or…
57k328kScore 84 - 6#6
K-Dense
Scientific Agent Skills
K-Dense
Arbor
Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses…
57k328kScore 84 - 7#7

Shubhamsaboo
Advisor Orchestrator Worker
Use when a task is too large for one model pass, needs parallel research or generation across many subtasks (like researching a dozen competitors at once), or the user asks to orchestrate…
144k83kScore 83 - 8#8
mvanhorn
Last30days Skill
mvanhorn
Last30days
Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a…
67k61kScore 82 - 9#9

davila7
Agents Autogpt
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step…
33k285kScore 80 - 10#10

davila7
Agents Crewai
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent…
33k285kScore 80
What makes a great research skill.
Citations for every claim, with links you can check.
Multiple sources per question and a way to resolve conflicts.
A final synthesis step, not a pile of search results.
All 359 research skills.
K-Dense
Scientific Agent Skills
deeptools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
K-Dense
Scientific Agent Skills
depmap
Retrieves and analyzes Cancer Dependency Map (DepMap) release data, including CRISPR Chronos gene effects, cancer model annotations, omics biomarkers, and PRISM drug sensitivity. Supports…
K-Dense
Scientific Agent Skills
diffdock
Predicts protein-small-molecule binding poses with DiffDock and DiffDock-L from PDB or sequence plus SMILES/SDF/MOL2. Covers batch docking, pose triage, confidence interpretation, and…
K-Dense
Scientific Agent Skills
dnanexus-integration
Builds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Supports DNAnexus data transfers, dxapp.json…
K-Dense
Scientific Agent Skills
esm
Uses the Biohub esm Python SDK for ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding. Applies to local model inference and Biohub hosted clients, including former…
K-Dense
Scientific Agent Skills
etetoolkit
Analyzes, manipulates, compares, annotates, and visualizes phylogenetic or other hierarchical trees with ETE 4. Supports Newick/Nexus tree I/O, topology edits and pattern matching…
K-Dense
Scientific Agent Skills
exa-search
Searches scientific and technical web content with Exa and extracts page or PDF text from URLs in batches. Supports scholarly discovery with the publication category and academic domain…
K-Dense
Scientific Agent Skills
experimental-design
Designs experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone…
K-Dense
Scientific Agent Skills
exploratory-data-analysis
Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata…
K-Dense
Scientific Agent Skills
adaptyv
Uses the Adaptyv Bio Foundry API and Python SDK to design protein characterization experiments, estimate costs, submit sequences, monitor laboratory progress, and retrieve results. Applies…
K-Dense
Scientific Agent Skills
aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use…
K-Dense
Scientific Agent Skills
anndata
Handles annotated matrices in single-cell analysis, .h5ad and Zarr files, and integration with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for…
K-Dense
Scientific Agent Skills
astropy
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when…
K-Dense
Scientific Agent Skills
benchling-integration
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with…
K-Dense
Scientific Agent Skills
biopython
Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom…
K-Dense
Scientific Agent Skills
cellxgene-census
Queries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices…
K-Dense
Scientific Agent Skills
cirq
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware…
K-Dense
Scientific Agent Skills
cobrapy
Performs constraint-based metabolic modeling with COBRApy, including FBA, pFBA, FVA, gene knockouts, flux sampling, growth media, production envelopes, gap filling, and SBML model…
K-Dense
Scientific Agent Skills
consciousness-council
Structures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates evidence from assumptions and values…
K-Dense
Scientific Agent Skills
dask
Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed…
K-Dense
Scientific Agent Skills
database-lookup
Queries documented public database APIs with explicit endpoints, filters, pagination, and provenance. Used when a scientific, regulatory, financial, or other database-backed fact must be…
K-Dense
Scientific Agent Skills
datalad
Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or…
K-Dense
Scientific Agent Skills
datamol
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints…
K-Dense
Scientific Agent Skills
deepspot-m
Generates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the…
K-Dense
Scientific Agent Skills
dhdna-profiler
Applies the DHDNA framework as an exploratory rubric for reasoning and writing patterns in supplied text. Used for explicit requests for DHDNA, cognitive-style reflection, a…

agents-llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and…
K-Dense
Scientific Agent Skills
bgpt-paper-search
Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance…

data-processing-nemo-curator
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII…

data-processing-ray-data
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…

distributed-training-accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision…

distributed-training-deepspeed
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

distributed-training-megatron-core
Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47%…
Imbad0202
Academic Research Skills
academic-pipeline
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates…

ai-release-hunter
Daily digest of AI releases from Anthropic, Meta, Vercel Labs, OpenAI and Google GitHub repos, the Claude Cowork changelog, the claude.dev blog and Hacker News, deduplicated against a local…

autonomous-agent-patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents…

computer-use-agents
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and…
Research skills, explained.
Also searched as: deep research skill, academic research skills, last30days skill, research agent skill.
What are the best Claude skills for research?
Right now the top-ranked research skills on Alyn are Research (Matt Pocock), Customer Research (Corey Haines), Source Driven Development (Addy Osmani). Rankings combine GitHub stars, installs, freshness and depth, and update live.
What is the last30days skill?
An agent skill by mvanhorn that researches any topic across Reddit, X, YouTube, Hacker News, Polymarket and the web, then synthesizes the results.
Can research skills write academic papers?
Academic packs cover research, writing, review and revision. You stay responsible for checking sources and originality.
How do I install a research skill?
Run npx skills add owner/repo in your project, or copy the folder with SKILL.md into ~/.claude/skills. Every skill on this page has a ready-to-copy command.
More in Science & data
Research skills for your agent