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
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
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
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.
davila7crewai
Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process…
davila7data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
davila7data-scientist
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
Imbad0202
Academic Research Skills
Imbad0202deep-research
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way…
davila7deep-research-notebooklm
Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as…
davila7dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
davila7behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
davila7datadog-cli
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
davila7deep-research
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
davila7planning
Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task…
phurynuser-segmentation
Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or…
davila7agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on…
davila7agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
davila7agent-memory-systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term…
davila7ai-agents-architect
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous…
davila7autonomous-agents
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them…
davila7claude-code-guide
Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the…
phuryncustomer-journey-map
Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points…
wanshuiyin
Auto Claude Code Research In Sleep
wanshuiyinlean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas…
phurynmarket-segments
Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis. Use when exploring market segments, identifying target audiences, evaluating new markets, or…
phurynsentiment-analysis
Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on…
phurynuser-personas
Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from…
davila7agent-manager-skill
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
davila7agent-tool-builder
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than…
davila7context-window-management
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context…
davila7context7-auto-research
Automatically fetch latest library/framework documentation for Claude Code via Context7 API
davila7conversation-memory
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat…
Orchestra Research
AI Research SKILLs
Orchestra Researchdistributed-llm-pretraining-torchtitan
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8…
Orchestra Research
AI Research SKILLs
Orchestra Researchfine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need…
Orchestra Research
AI Research SKILLs
Orchestra Researchhuggingface-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…
Orchestra Research
AI Research SKILLs
Orchestra Researchhuggingface-tokenizers
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies…
Orchestra Research
AI Research SKILLs
Orchestra Researchimplementing-llms-litgpt
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational…
Orchestra Research
AI Research SKILLs
Orchestra Researchlambda-labs-gpu-cloud
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance…
Orchestra Research
AI Research SKILLs
Orchestra Researchmamba-architecture
State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and…
Orchestra Research
AI Research SKILLs
Orchestra Researchmiles-rl-training
Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or…
Orchestra Research
AI Research SKILLs
Orchestra Researchmodal-serverless-gpu
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with…
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.
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Research skills for your agent