Adam Kaminski thimslugga

Claude Code with local LLMs and ANTHROPIC_BASE_URL: Ollama, LM Studio, llama.cpp, vLLM

Native Anthropic endpoints, tool-call compatibility, and context-window sizing for local Claude Code.

Last tested: April 2026. See Changelog at the bottom.

If this saves you setup time, follow @renezander030 — practical local AI / coding-agent infrastructure notes, weekly.

Full repo with scripts: github.com/renezander030/local-ai-coding-stack >

Production AI Automation Notes #1: Agent Approval Gates — JSON schema, human review, deterministic dispatch, audit logs

The Claude Code Handbook

A single, opinionated reference for using Claude Code (the CLI) and extending it with Skills (reusable workflows). Curated from Anthropic's official docs, the Claude Code CLI surface, and the Complete Guide to Building Skills for Claude.

How to use this handbook

This document has two parts that complement each other:

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

April 2026 TLDR setup for Ollama + Gemma 4 on a Mac mini (Apple Silicon) — auto-start, preload, and keep-alive

April 2026 TLDR Setup for Ollama + Gemma 4 on a Mac mini (Apple Silicon)

Prerequisites

Mac mini with Apple Silicon (M1/M2/M3/M4/M5)
At least 16GB unified memory for Gemma 4 (default 8B)
macOS with Homebrew installed

Claude Code Agent Playbook

A distilled guide for bootstrapping autonomous agents on top of Claude Code.

TL;DR: An agent is a directory with a CLAUDE.md that gives Claude a role, a startup/shutdown ritual, and a map of files and skills. The rest is just files.

Agent Skills: References, Recipes & Token Loading Behavior

Overview

This document captures learnings about how Agent Skills handle references/, recipes/, and services/ folders, including token budget implications and best practices based on the AgentSkills.io specification and GitHub Copilot implementation behavior.

Progressive Disclosure Model

Agent Skills use a three-tier loading model to efficiently manage LLM context windows:

	#!/usr/bin/env python3
	"""
	Antigravity to Antigravity IDE Migration Tool
	==============================================
	A self-contained script to automatically migrate extensions, custom settings, keybindings,
	snippets, workspace states, and entire conversation histories from Antigravity v1
	to the new Antigravity IDE.

	Author: Antigravity AI Coding Assistant (pair-programmed with USER)
	License: MIT

	#!/usr/bin/env bash
	set -euo pipefail

	# patch-claude-code.sh — Rebalance Claude Code prompts to fix corner-cutting behavior
	#
	# What this does:
	# Patches the npm-installed @anthropic-ai/claude-code cli.js to rebalance
	# system prompt instructions that cause the model to cut corners, simplify
	# excessively, and defer complicated work.
	#

	#!/usr/bin/env bash
	#
	# bootstrap.sh - macOS 輕量終端開發環境一鍵安裝腳本
	# 包含：Ghostty + zellij + yazi + lazygit + fastfetch + Neovim/LazyVim + 現代工具 + oh-my-zsh
	# 語言環境：Python(uv/pipx)、Go、Rust(rustup)、Java(Liberica 20 Full+JavaFX)、Node(pnpm+bun)、Ruby
	#
	# 用法：curl -fsSL https://gist.githubusercontent.com/fuzzbuster/a117689823ba87c27437a44129253dcb/raw/1b2e930ad152a7ceb9fbb7df581b304e2d1685a0/macos_bootstrap.sh \| bash
	# 或 bash bootstrap.sh
	#
	# 可重複執行，不會重複安裝或破壞既有配置