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Computer Vision Expert (SOTA 2026)

computer-vision-expert

sickn33/antigravity-awesome-skills

SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.

Confluence Operations Assistant

confluence-assistant

tech-leads-club/agent-skills

Handles Confluence page search, creation, updates, space listings, and comments through Atlassian MCP tools; enforces Markdown bodies, natural-language Rovo Search, and Cloud ID/URL detection before any operation.

Constant-Time Analysis

constant-time-analysis

trailofbits/skills

Detects operations in cryptographic code that leak secrets via timing side channels, guiding developers through multi-language analysis and CLI flags for warnings, filtering, architecture, and optimization levels.

Context Degradation Patterns

context-degradation

sickn33/antigravity-awesome-skills

Identifies predictable context degradation patterns in large language models to diagnose failures and design resilient agents; covers lost-in-middle, poisoning, distraction, and confusion with mitigation tactics for long or complex conversations.

Context Engineering Fundamentals

context-fundamentals

sickn33/antigravity-awesome-skills

Explains what makes up a language model’s context state and how engineers should structure prompts, tools, retrieval, history, and outputs to guide agent behavior and manage token budgets.

Context Window Management Strategies

context-window-management

sickn33/antigravity-awesome-skills

This skill set provides advanced, structured strategies for optimizing Large Language Model (LLM) interactions. It covers techniques such as intelligent context summarization, dynamic trimming, context routing, and precise token budget allocation to prevent 'context rot'. It is essential for building robust, long-running, multi-turn conversational AI systems.

Domain Driven Design Strategic Modeling

ddd-strategic-design

sickn33/antigravity-awesome-skills

This skill guides the architectural definition of complex business domains using Domain-Driven Design (DDD). It helps in defining core subdomains, separating services by bounded contexts, and establishing a unified ubiquitous language. It is essential for decomposing monoliths, structuring microservices, and aligning team ownership with clear domain boundaries.

Deepgram SDK Patterns

deepgram-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Defines production-ready Deepgram SDK usage for TypeScript and Python, covering pre-recorded transcription, live streaming, diarization, multi-language handling, and error responses to guide integrations and team standards.

Dependency Auditor Toolkit

dependency-auditor

alirezarezvani/claude-skills

Analyzes multi-language dependency ecosystems to surface vulnerabilities, license risks, outdated or redundant packages, supply-chain issues, and lockfile drift while guiding upgrades and compliance.

Devcontainer Setup Assistant

devcontainer-setup

trailofbits/skills

Automates devcontainer creation with Claude Code plus language-specific tooling for Python, Node/TypeScript, Rust, and Go, layering templates, extensions, and post-create commands so teams can spin up isolated, persistent workspaces quickly.

Declarative LM Systems

Orchestra-Research/AI-Research-SKILLs

DSPy lets you declaratively program complex language model systems, assemble modular RAG/agent pipelines, and optimize prompts and modules automatically for reliable LM-driven apps.

Code Model Evaluation and Benchmarking

evaluating-code-models

Orchestra-Research/AI-Research-SKILLs

A comprehensive toolkit for evaluating the performance of code generation models. It supports benchmarking against industry standards like HumanEval, MBPP, and MultiPL-E across multiple languages. Use this tool to quantitatively compare different LLM coding abilities and measure code synthesis quality using pass@k metrics.

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