Safer agent skills

🚀 Explore a minimal, extensible LLM inference engine for efficient AI model execution, designed to enhance research and experimentation with novel techniques.

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Local-first AI research assistant — desktop-native, no data leaves your device.

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🦅 Extract bird behavior insights from text descriptions efficiently with Avian Insight using pattern-matched LLM responses.

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my research platform, and an open-source stack for industrial-grade LLM systems.

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🚀 Build and deploy a lightweight RAG demo using FastAPI, Chroma, and Ollama LLM for efficient AI-assisted information retrieval.

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⚡ Evaluate LLM prompts at scale with fast, parallel execution, real-time cost tracking, and insightful analytics across multiple models.

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Auditor for Claude Code skills and slash commands.

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🚀 Deploy production-ready AI infrastructure on Amazon EKS with strong observability, security, and authentication for seamless LLM management.

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Replication materials for The Permission Effect: How Non-Anthropomorphic Framing Modulates LLM Self-Description

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🚀 Curate essential resources for engineers tackling AI inference systems, covering topics from LLM serving to GPU programming and production deployment.

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Autonomous LLM research pipeline using LangGraph and Tavily API with multi-step reasoning, parallel search, retry handling, and cost-aware execution.

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🌟 Build intelligent agents easily with Helios Engine, a powerful framework for developing and deploying LLM-based applications.

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A terminal AI assistant with multi-provider LLM support, blockchain tools, IPFS, and xAI RAG collections

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基于 Vue3 + Vue Router + Express + MongoDB + Element Plus + TypeScript 的现代化 AI 聊天应用，支持多种大语言模型，提供流畅的对话体验。本项目采用 Monorepo 架构，包含完整的前后端实现。

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🛠️ Build a flexible integration layer for large language models using Strategy, Abstract Factory, and Adapter patterns in TypeScript for seamless runtime switching.

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A CLI test harness for evaluating local LLM code generation on TypeScript problems

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A slick CLI companion for [Ollama] — interact with local LLMs from your terminal

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Job description data generation with LLM

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Monitor LLM inference clusters in real time with a terminal dashboard for vLLM, SGLang, LMCache, NVIDIA NIM, and Dynamo

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A fully offline, portable AI assistant on an external HDD/USB.

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Unlock fast, local LLM inference on AMD-powered mini PCs delivering 65-87 t/s for large models without cloud or subscription costs

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Composable primitives for building LLM agents — TypeScript

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Deliver a scalable LLM inference API in TypeScript and Python with GPU scheduling, dynamic batching, and multi-modal support for production use.

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Prevent LLM hallucination by enforcing deterministic Python code execution and state verification to maintain accurate, reliable conversations.

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