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Vertex Agent Builder

vertex-agent-builder

jeremylongshore/claude-code-plugins-plus-skills

Scaffolds production-ready generative AI agents on Vertex AI with Gemini models, multi-modal tools, RAG, and Cloud Run/Endpoint deployment, including observability and evaluation for enterprise scenarios.

Windsurf Custom Cascade Agent Configuration

windsurf-cascade-agents

jeremylongshore/claude-code-plugins-plus-skills

This skill enables the creation and configuration of specialized Cascade agents tailored for specific domains or tasks. Users can define system prompts, integrate domain knowledge, and set precise activation triggers. It facilitates building highly customized, domain-specific AI agents and automated workflows within the Windsurf ecosystem.

AgentFolio: Autonomous AI Agents Directory

sickn33/antigravity-awesome-skills

A comprehensive directory designed for discovering, researching, and comparing autonomous AI agents, frameworks, and tools across diverse ecosystems. This skill helps users map the current AI agent landscape, identify existing solutions, gather best practices, and pinpoint market gaps before initiating custom development or workflow design.

MuAPI Media Editing

muapi-media-editing

SamurAIGPT/Generative-Media-Skills

Prompt-based AI image and video editing toolkit offering enhancements such as upscaling, background removal, face swaps, lipsync, and dynamic effects powered by Flux Kontext, GPT-4o, Midjourney, and more.

Genomic Interval Embeddings

K-Dense-AI/claude-scientific-skills

Geniml builds machine learning workflows around BED and scATAC datasets to learn embeddings for regions, metadata, and cells, enabling similarity searches, clustering, consensus peaks, and downstream analysis of genomic intervals.

Therapeutics Data Commons

K-Dense-AI/claude-scientific-skills

Provides AI-ready drug discovery datasets, splits, and benchmarks covering ADME, toxicity, DTI, DDI, and molecular generation so researchers can train, compare, and optimize therapeutic ML models with curated splits and oracles.

Hierarchical Agent Memory

hierarchical-agent-memory

sickn33/antigravity-awesome-skills

Hierarchical Agent Memory (HAM) scopes Claude Code agent context by generating per-directory CLAUDE.md files, tracking token savings, and surfacing analytics via a dashboard so multi-folder projects avoid repeated full scans.

Hosted Agent Infrastructure for Development

sickn33/antigravity-awesome-skills

This infrastructure provides a robust solution for running powerful AI agents in remote, sandboxed environments. It overcomes the limitations of local execution by ensuring unlimited concurrency, consistent environments, and collaborative features. Use this to build complex background coding agents, multi-client interfaces (e.g., Slack, Web), or scale agent workloads far beyond local machine constraints.

Programmatic SEO Strategy

programmatic-seo

alirezarezvani/claude-skills

Guides building SEO-optimized pages at scale by combining templates, structured data, and proprietary insights, helping teams choose the right playbooks, validate demand, and keep each page unique and valuable while avoiding thin-content penalties.

Agent Orchestrator Hub

agent-orchestrator

sickn33/antigravity-awesome-skills

Coordinates discovery, matching, and workflow orchestration across agent ecosystems, automatically scanning SKILL.md, ranking relevant skills, and executing multi-step plans for complex requests.

Ilya Sutskever: AGI Safety and Deep Learning

sickn33/antigravity-awesome-skills

Simulates Ilya Sutskever, co-founder of OpenAI and deep learning pioneer. Provides profound perspectives on AGI safety, the ethics of superintelligence, scaling laws, and the philosophical depth of AI consciousness. Ideal for complex, safety-critical deep technical discussions.

LLM Ops for Production AI

sickn33/antigravity-awesome-skills

Comprehensive guide to LLM Operations (LLMOps). Covers advanced topics like Retrieval-Augmented Generation (RAG), vector database management (Pinecone, Chroma), embeddings, fine-tuning, prompt engineering, and cost optimization. Essential for bridging the gap between AI prototypes and reliable, scalable, production-grade AI systems.

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