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Advanced UI Development for Obsidian Plugins

obsidian-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Master the art of building complex, production-grade user interfaces for Obsidian plugins. This guide covers implementing custom sidebar views (ItemView), interactive modal dialogs (for forms and confirmations), context menus, status bar widgets, and advanced editor commands. Learn how to interact with the Obsidian Vault API for file manipulation, significantly enhancing your plugin's functionality and user experience.

On-Call Shift Handoff Playbook

on-call-handoff-patterns

sickn33/antigravity-awesome-skills

This comprehensive playbook provides effective patterns and structured templates for managing on-call shift transitions. It guides engineers on documenting active incidents, ongoing investigations, recent system changes, and upcoming maintenance events. The goal is to ensure seamless context transfer, maintaining continuity and reliable incident response across different shifts.

OpenAI Automation Toolkit

openai-automation

ComposioHQ/awesome-claude-skills

Automate OpenAI API workflows through the Composio MCP integration, covering text and multimodal responses with structured outputs, embeddings, image generation, and model discovery.

OpenEvidence Clinical API Examples

openevidence-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This module provides minimal working examples for the OpenEvidence API, designed for clinical intelligence applications. Users can perform complex clinical queries to get treatment recommendations, check potential drug interactions based on patient context, and search for authoritative medical guidelines from major health organizations (e.g., ACC/AHA). Ideal for developing evidence-based healthcare decision support systems.

OpenEvidence Incident Response Runbook

openevidence-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

This runbook serves as a comprehensive guide for responding to incidents within the OpenEvidence platform. It outlines severity levels (P1-P3), step-by-step triage procedures, and mitigation actions, ensuring rapid and structured resolution of API downtime or degradation issues in a healthcare context.

Context Optimization for LLM API Usage

openrouter-context-optimization

jeremylongshore/claude-code-plugins-plus-skills

This skill provides advanced strategies for managing large language model (LLM) context windows and token usage via OpenRouter. Functions include context window lookup, context-aware model selection, conversation trimming, document chunking for RAG, and prompt caching. Use this when dealing with long conversations or large documents to maximize quality while minimizing API costs and preventing context limit overflow.

OpenRouter Model Catalog Query

openrouter-model-catalog

jeremylongshore/claude-code-plugins-plus-skills

Use this tool to query, filter, and compare over 400 available AI models from OpenRouter. It allows users to check pricing, context lengths, model capabilities (e.g., tool calling), and select the best model based on specific needs, ensuring optimal performance and cost efficiency in AI development.

OpenRouter Advanced Routing Rules Engine

openrouter-routing-rules

jeremylongshore/claude-code-plugins-plus-skills

This skill implements a sophisticated, config-driven rules engine for OpenRouter API calls. It dynamically determines the optimal large language model (LLM) by evaluating a comprehensive context, including user subscription tier, remaining cost budget, specific task type (code, chat), required tools, and latency requirements. This is essential for building production-grade, cost-aware, and robust LLM orchestration systems.

Flash Attention Optimizer

optimizing-attention-flash

Orchestra-Research/AI-Research-SKILLs

Flash Attention optimizer delivers 2-4x speedup and 10-20x memory savings for transformer attention, ideal when training or running long-context models that hit GPU memory or latency limits; supports PyTorch native scaled_dot_product_attention, the flash-attn library, H100 FP8 precision, and sliding-window attention.

Structured Text Generator

Orchestra-Research/AI-Research-SKILLs

Outlines guarantees valid JSON/XML/code outputs by applying CFG/FSM-constrained token filtering, Pydantic schemas, and grammar-level sampling while supporting local Transformers, llama.cpp, and vLLM backends for fast inference.

PDF Processing Toolkit

ComposioHQ/awesome-claude-skills

Comprehensive PDF toolkit for extracting text and tables, splitting/merging documents, filling forms, and generating new files via Python or CLI tools, enabling automated, large-scale document workflows in analytics, compliance, or reporting pipelines.

Comprehensive PDF Processing Guide

sickn33/antigravity-awesome-skills

This guide provides a comprehensive overview of PDF manipulation techniques using both Python libraries (like pypdf, pdfplumber, reportlab) and command-line tools (like pdftotext, qpdf). It covers core functionalities such as merging, splitting, rotating, extracting text and structured tables, creating new PDFs, and performing OCR on scanned documents, making it essential for automation workflows.

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