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CLIP Vision-Language

Orchestra-Research/AI-Research-SKILLs

OpenAI's CLIP links vision and language for zero-shot image classification, semantic search, content moderation, and cross-modal retrieval without fine-tuning, making it ideal for pipelines needing fast image-text matching or vector search.

Agent Context Compression

context-compression

sickn33/antigravity-awesome-skills

Guides engineering teams on compressing long agent conversations by focusing on tokens-per-task rather than tokens-per-request, using structured summaries, triggered strategies, and probe-based evaluation to keep artifact trails intact.

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 Engineering Specialist

context-manager

sickn33/antigravity-awesome-skills

Provides elite guidance on dynamic context management, vector databases, knowledge graphs, intelligent memory, RAG, and multi-agent workflows so AI systems maintain relevant, actionable information across enterprise scenarios.

Context Optimization Techniques

context-optimization

sickn33/antigravity-awesome-skills

Guides how to stretch limited LLM context windows by compressing, masking, caching, and partitioning information so agents process longer conversations or documents without enlarging models; includes when to trigger optimizations and concrete patterns for summaries, masking, KV-cache reuse, and budget tracking.

Context Window Management

context-window-management

sickn33/antigravity-awesome-skills

Fine-tunes LLM behavior to handle large-scale conversations by curating essential context, managing token costs, and applying tiered summaries to prevent context rot and information loss.

Cursor Context Optimization

cursor-context-management

jeremylongshore/claude-code-plugins-plus-skills

Guides Cursor IDE users through context window limits, targeted @-mentions, and conversation resets so AI assistants deliver accurate, fast responses without overflowing memory.

Cursor AI Debug Toolkit

cursor-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

Cursor AI Debug Toolkit helps identify root causes of incorrect Cursor AI suggestions, inspect completion/chat context, and use dev tools/logs to tweak settings, re-test models, and document fixes for future issues.

Cursor Rules Config

cursor-rules-config

jeremylongshore/claude-code-plugins-plus-skills

Configure project-specific `.cursorrules` files to guide Cursor IDE’s AI code generation, enforce style, and supply contextual metadata for consistent suggestions.

On-Device Foundation Models

foundation-models-on-device

affaan-m/everything-claude-code

Integrates Apple's FoundationModels into iOS apps so developers can run on-device LLMs for text generation, guided structured outputs via @Generable, custom tool calls, and snapshot streaming without leaving the device.

Gemini API Integration

sickn33/antigravity-awesome-skills

Guides developers through using Google’s Gemini API to access advanced multimodal models, covering SDK installation, sample code in Python/JS/Go, REST specs, and documentation indexes for text, image, and function-calling workflows.

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