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Ultra-Granular Context Audit

audit-context-building

trailofbits/skills

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.

Ultra-Granular Context Audit

audit-context-building

trailofbits/skills

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.

Axolotl LLM Fine-Tuning

Orchestra-Research/AI-Research-SKILLs

Expert guidance for fine-tuning LLMs with Axolotl, covering YAML configs, LoRA/QLoRA/DPO variants, multimodal support, and practical troubleshooting patterns for development and training workflows.

Axolotl LLM Fine-Tuning

Orchestra-Research/AI-Research-SKILLs

Expert guidance for fine-tuning LLMs with Axolotl, covering YAML configs, LoRA/QLoRA/DPO variants, multimodal support, and practical troubleshooting patterns for development and training workflows.

Detecting Anomalies with Azure AI Java

azure-ai-anomalydetector-java

sickn33/antigravity-awesome-skills

This SDK allows developers to build robust anomaly detection applications in Java using Azure AI services. It supports both univariate and multivariate time-series analysis, enabling detection of outliers, trend changes, and correlated signals over large datasets. Ideal for real-time monitoring, operational intelligence, and advanced data quality checks.

Detecting Anomalies with Azure AI Java

azure-ai-anomalydetector-java

sickn33/antigravity-awesome-skills

This SDK allows developers to build robust anomaly detection applications in Java using Azure AI services. It supports both univariate and multivariate time-series analysis, enabling detection of outliers, trend changes, and correlated signals over large datasets. Ideal for real-time monitoring, operational intelligence, and advanced data quality checks.

Deepgram SDK Installation and Auth

deepgram-install-auth

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for installing and configuring the Deepgram SDK for both Node.js and Python environments. This skill covers best practices for secure API key management using environment variables, client initialization (including version differences), and connection verification. Use this when integrating Deepgram's advanced speech-to-text and text-to-speech capabilities into a new application.

HeyGen Video Automation

heygen-automation

ComposioHQ/awesome-claude-skills

Automate AI video creation workflows via the HeyGen-Composio MCP integration to browse avatars/templates, populate variables, generate videos, check processing status, and fetch shareable URLs.

Selective State Space Model

mamba-architecture

Orchestra-Research/AI-Research-SKILLs

Mamba is a selective state-space model architecture delivering O(n) inference for million-token sequences, offering hardware-aware Mamba-1 and Mamba-2 variants that beat Transformers on speed without KV cache overhead.

Advanced Model Merging Techniques Guide

Orchestra-Research/AI-Research-SKILLs

This guide details advanced methods for merging multiple specialized LLMs (e.g., combining math, coding, and chat capabilities) without the need for expensive retraining. Learn various techniques such as Linear Merging, SLERP, Task Arithmetic, TIES-Merging, and DARE. Use mergekit to create high-performing, specialized model variants quickly, significantly improving performance and reducing computational costs.

OpenEvidence SDK Installation And Authentication

openevidence-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive steps to install and authenticate the OpenEvidence SDK/API. It covers setting up environment variables, installing required packages (supporting both Node.js and Python), and verifying the connection using sample code. This is essential for developers integrating OpenEvidence's medical AI capabilities for clinical decision support and evidence-based queries into a new application.

Retell AI Voice Agent Architecture Patterns

retellai-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

This skill provides architectural patterns and implementation guides for developing advanced voice agents and automating phone calls using the Retell AI platform. It covers SDK integration, API best practices, and troubleshooting common telephony errors (like 401/429), enabling developers to build robust, real-world voice interaction systems.

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