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DrugBank Database Access

drugbank-database

davila7/claude-code-templates

Access and analyze DrugBank pharmaceutical data including drug properties, interactions, targets, pathways, chemical structures, and pharmacology for drug discovery and research.

End-to-End Testing Patterns

e2e-testing-patterns

davila7/claude-code-templates

This skill enables you to build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly. It helps catch regressions before users do by implementing E2E test automation, debugging flaky tests, testing critical user workflows, setting up CI/CD pipelines, and validating accessibility requirements across multiple browsers and responsive designs.

Electron Desktop App Development

electron-development

davila7/claude-code-templates

Master secure Electron desktop application development. Learn multi-process architecture, secure IPC communication, context isolation, preload scripts, and packaging with electron-builder. Ideal for building production-ready native apps with auto-update capabilities and code signing.

Elixir OTP Concurrency Expert

davila7/claude-code-templates

Write idiomatic Elixir code with OTP patterns, supervision trees, Phoenix LiveView, Ecto, concurrency, fault tolerance, and distributed systems. Get best practices for BEAM performance and reliable Elixir applications.

Professional Email Composer

davila7/claude-code-templates

This skill helps users draft professional emails for business, technical, and customer contexts. It provides structured templates for requests, follow-ups, and support inquiries. Users specify purpose, recipient, key points, and tone to generate messages. Includes guidelines for subject lines, etiquette, and scenarios like apologies. Ideal for improving workplace communication efficiency.

Email Systems Engineering

davila7/claude-code-templates

Master email infrastructure for high deliverability and ROI. Covers transactional queues, event tracking, template versioning, and DNS configuration like SPF/DKIM/DMARC. Avoid common pitfalls like HTML soup or missing unsubscribe links to ensure inbox placement and compliance.

Knowledge Distillation for LLMs

emerging-techniques-knowledge-distillation

davila7/claude-code-templates

This skill covers compressing large language models using knowledge distillation techniques. It enables transferring capabilities from teacher models like GPT-4 to smaller student models, reducing inference costs while retaining performance. Key methods include temperature scaling, soft targets, reverse KLD, and logit distillation. Ideal for deploying efficient models and creating specialized versions.

Long Context Extension Techniques

emerging-techniques-long-context

davila7/claude-code-templates

Master techniques to extend transformer model context windows beyond original limits using RoPE, YaRN, and ALiBi. Ideal for processing long documents (32k-128k+ tokens) and implementing efficient positional encodings for LLMs. Covers rotary embeddings, attention biases, and interpolation strategies.

AI Model Merging Techniques

emerging-techniques-model-merging

davila7/claude-code-templates

Learn to merge multiple fine-tuned models using mergekit without retraining. Covers methods like SLERP, TIES-Merging, and Task Arithmetic to combine domain expertise (math, coding, chat). Improves performance and reduces costs by blending capabilities efficiently. Ideal for creating specialized AI models and rapid experimentation.

LLM Model Pruning Techniques

emerging-techniques-model-pruning

davila7/claude-code-templates

This skill covers techniques to reduce LLM size and accelerate inference using methods like Wanda and SparseGPT. It enables model compression without retraining, achieving high sparsity with minimal accuracy loss. Suitable for deploying on constrained hardware like mobile or edge devices. Includes unstructured, structured, and N:M sparsity methods.

Mixture of Experts Training

emerging-techniques-moe-training

davila7/claude-code-templates

Learn to train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. This skill covers sparse architectures like Mixtral 8x7B, reducing compute costs by 5x compared to dense models. It includes routing mechanisms, load balancing, expert parallelism, and inference optimization for scaling large-scale AI models efficiently.

Speculative Decoding for LLM Inference

emerging-techniques-speculative-decoding

davila7/claude-code-templates

Accelerate LLM inference with speculative decoding, Medusa multiple heads, and lookahead decoding to achieve 1.5-3.6x speedup and lower latency.

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