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(949 total)
Scientific Research Grants
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requir...
Scientific Research Lookup
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying s...
Scientific Rowan
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), ...
Scientific Scanpy
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For d...
Scientific Scholar Evaluation
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable f...
Scientific Scientific Brainstorming
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have spec...
Scientific Scientific Critical Thinking
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for under...
Scientific Scientific Schematics
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural net...
Scientific Scientific Slides
Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templat...
Scientific Scientific Visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestr...
Scientific Scientific Writing
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRA...
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...
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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.