CLAUDE CODE PLAYBOOKS
Ready-to-use workflows, templates & skills for your Claude Code projects
Copy-paste playbooks for Claude Code, Codex CLI, Windsurf, Cursor, Antigravity & more AI coding agents. Browse templates, skills and workflows to supercharge your development.
Browse Playbooks
Find a playbook that matches your workflow
claude /search file-organizationCopy CLAUDE.md
Copy the template to your project folder
cp playbook.md ~/project/CLAUDE.mdStart Using
Launch Claude Code with your new configuration
*Search Playbooks
└ Find your personalized automation stack
Playbooks(1200 total)
Scientific Scikit Bio
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
Scientific Scikit Learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building...
Scientific Scikit Survival
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradie...
Scientific Scvelo
RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for tra...
Scientific Scvi Tools
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch ef...
Scientific Seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For in...
Scientific Shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force,...
Scientific Simpy
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics...
Scientific Stable Baselines3
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasi...
Scientific Statistical Analysis
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection gu...
Scientific Statsmodels
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. Fo...
Scientific String Database
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
Scientific Sympy
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating alge...
Scientific Tiledbvcf
Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.
Scientific Timesfm Forecasting
Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and pr...
Scientific Torch Geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Scientific Torchdrug
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosy...
Scientific Transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image...
Scientific Treatment Plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain...
Scientific Umap Learn
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Scientific Uniprot Database
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniPro...
Scientific Usfiscaldata
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when ...
Scientific Uspto Database
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Scientific Vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine ...
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?Frequently Asked Questions
└ Everything you need to know about Claude Code workflows, templates and skills
Claude Code Playbooks are ready-to-use workflows, templates and skills that you copy-paste as a CLAUDE.md file in your project folder. They tell Claude Code exactly how to behave — what to build, how to structure files, what rules to follow — so you get consistent, high-quality results without writing complex prompts from scratch.
It takes three steps: browse the directory to find a playbook that matches your use case, copy the CLAUDE.md template into your project folder, then launch Claude Code. The agent reads the configuration automatically and follows the workflow. No setup, no configuration files, no coding required.
Not at all. These playbooks are designed for non-developers — marketers, analysts, founders, researchers, students, and anyone who wants to automate work with AI. Each template is a plain-text file you copy-paste. If you can create a folder and paste text into a file, you can use a playbook.
Yes. Every playbook on this directory is completely free to use, modify and share. The entire project is open source on GitHub under a permissive license. There are no paywalls, no premium tiers, no sign-up required.
Every playbook is a real-world use case that has been submitted and tested by the community before being curated on this directory. These are not theoretical templates — they are workflows that people actually rely on for their daily work, verified to produce reliable results.
Playbooks are built for Claude Code, but many templates and skills also work with other AI coding agents including Codex CLI, Windsurf, Cursor, Antigravity, Perplexity and more. The CLAUDE.md format is simple enough that most agents can interpret and follow the instructions.
Absolutely. The directory is community-driven and we encourage submissions. You can contribute a new playbook directly through our GitHub repository or use the submission form on the homepage. Share a workflow that works for you so others in the community can replicate and benefit from it.