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All Skills

Total 42,387 skills

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Showing 12 of 42387 skills

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Documentation & Writingdavila7/claude-code-templ...

citation-management

Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

🇺🇸|EnglishTranslated
5
6 scripts/Checked
Backend Developmentzhanghandong/rust-skills

rust-learner

Use when asking about Rust versions or crate info. Keywords: latest version, what's new, changelog, Rust 1.x, Rust release, stable, nightly, crate info, crates.io, lib.rs, docs.rs, API documentation, crate features, dependencies, which crate, what version, Rust edition, edition 2021, edition 2024, cargo add, cargo update, 最新版本, 版本号, 稳定版, 最新, 哪个版本, crate 信息, 文档, 依赖, Rust 版本, 新特性, 有什么特性

🇺🇸|EnglishTranslated
5
Frontend Developmentenzed/r3f-skills

r3f-fundamentals

React Three Fiber fundamentals - Canvas, hooks (useFrame, useThree), JSX elements, events, refs. Use when setting up R3F scenes, creating components, handling the render loop, or working with Three.js objects in React.

🇺🇸|EnglishTranslated
5
AI & Machine Learningdavila7/claude-code-templ...

modal-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 automatic scaling.

🇺🇸|EnglishTranslated
5
AI & Machine Learningdavila7/claude-code-templ...

model-pruning

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

🇺🇸|EnglishTranslated
5
Project Managementdavila7/claude-code-templ...

task-execution-engine

Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-design-assistant output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'.

🇺🇸|EnglishTranslated
5
1 scripts/Checked
Frontend Developmentalinaqi/claude-bootstrap

pwa-development

Progressive Web Apps - service workers, caching strategies, offline, Workbox

🇺🇸|EnglishTranslated
5
Documentation & Writingrefoundai/lenny-skills

giving-presentations

Help users create and deliver compelling presentations. Use when someone is preparing a talk, building a slide deck, dealing with presentation anxiety, practicing for a keynote, or asking how to be more engaging when presenting.

🇺🇸|EnglishTranslated
5
Data Processingtursodatabase/turso

storage-format

SQLite file format, B-trees, pages, cells, overflow, freelist that is used in tursodb

🇺🇸|EnglishTranslated
5
Frontend Developmentlobehub/lobe-chat

react

React component development guide. Use when working with React components (.tsx files), creating UI, using @lobehub/ui components, implementing routing, or building frontend features. Triggers on React component creation, modification, layout implementation, or navigation tasks.

🇺🇸|EnglishTranslated
5
Backend Developmenttursodatabase/turso

async-io-model

Explanations of common asynchronous patterns used in tursodb. Involves IOResult, state machines, re-entrancy pitfalls, CompletionGroup. Always use these patterns in `core` when doing anything IO

🇺🇸|EnglishTranslated
5
AI & Machine Learningdavila7/claude-code-templ...

moe-training

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.

🇺🇸|EnglishTranslated
5
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