NathanAndrewSwanson

name

description

dynamic-mcp-loader

Dynamically load and call Claude.ai MCP connectors on demand using mcporter CLI, instead of having them always consuming context tokens. Use when the user wants to call a tool from a disabled Claude.ai MCP connector (e.g., Figma, Craft, Canva, Val Town, Stripe), or when asked to "load MCP", "call MCP tool", "use mcporter", "run a cloud MCP". Also use when managing which Claude.ai connectors are disabled via the SessionStart hook.

Dynamic MCP Loader

Load and call Claude.ai MCP connectors on demand using mcporter, avoiding always-on context token consumption.

How It Works

AI Coding Agent Guidelines (claude.md)

These rules define how an AI coding agent should plan, execute, verify, communicate, and recover when working in a real codebase. Optimize for correctness, minimalism, and developer experience.

Operating Principles (Non-Negotiable)

Correctness over cleverness: Prefer boring, readable solutions that are easy to maintain.
Smallest change that works: Minimize blast radius; don't refactor adjacent code unless it meaningfully reduces risk or complexity.

Working Clawdbot/Moltbot setup with local Ollama model

[Update 2026-02-02: nemotron-3-nano also performs well on same setup; see comment below]

This is a guide to setting up Clawdbot/Moltbot with a local Ollama model that actually works -- meaning it has good tool use and decent speed. The main requirement is 48GB of VRAM. I have yet to find a model that fits on less than this and still works on Moltbot.

The setup involves creating a tool-tuned variant of qwen2.5:72b and modifying a range of configs in Moltbot. At the end you'll get a local Moltbot instance that can use tools (exec, read, write, web search), read skills, and perform agentic tasks without any cloud API dependencies. On my system I get ~16 t/s and have yet to come across a tool/skill that my bot can't use.

Claude Opus wrote the first draft of this Gist, then I (a human) checked and edited it.

The Direct Response Copy Skill

Write copy that converts. Landing pages, emails, sales copy, headlines, CTAs, social posts — anything persuasive.

This is an AI skill file. It turns any AI into a direct response copywriter trained on the frameworks of Schwartz, Hopkins, Ogilvy, Halbert, Caples, Sugarman, and Collier. Instead of getting generic AI copy, you get internet-native writing that sounds like a smart friend explaining something — while quietly deploying every persuasion principle in the book.

How to use this

OpenClaw on DigitalOcean

1. Create a Droplet

Ubuntu 24.04 LTS, nearest region

2. Select Premium AMD

2 GB RAM / 1 AMD CPU / 50 GB NVMe

3. SSH into server

name	description
capture-skill	Capture learnings, patterns, or workflows from the current conversation into a new or existing skill. Use when the user wants to save what was learned, discovered, or built during a conversation as a reusable skill for future sessions.

Capture Skill from Conversation

This skill helps you extract knowledge, patterns, and workflows from the current conversation and persist them as a reusable skill.

When to Use

Inbox Processing Workflow

Principles

The goal is to consistently keep the 000_Inbox at zero, deliberately processing each item to ensure nothing is lost and everything has an associated place or action. Attention span is a finite resource, and this workflow seeks to optimize its use.

Manual Triage Flow (Classic GTD)

This is the process for each item when processing the Inbox manually. Open each note, one by one, and follow this decision tree without moving to the next until action has been taken on the current one.

1. What is this? and Is it actionable?

AI Workflow

Overview

Building high-quality React Native animations requires deep knowledge of animation principles, performance optimization, and React Native Reanimated patterns. While AI assistance is powerful, vibecoding cannot be ignored—having balanced context and workflow can significantly speed up the development process. This repository is designed to be an active AI-friendly environment where developers can create, experiment, and play with animations. Every effort has been made to structure the codebase, provide comprehensive context, and maintain consistent patterns that make it suitable for AI-assisted development. The goal is to create a React Native animation laboratory where developers can explore animation techniques with all related data and context readily available.

Animation File Detection System

Each animation in this repository is wrapped by a unique slug identifier. This slug-based system simplifies detecting all files related to a specific animation, which is a core req

	/**
	* Pure Feature Flag Bypass Injector (Zero Disk Writes)
	*
	* Enables swarm features by intercepting fs.readFileSync calls and injecting
	* the tengu_brass_pebble feature flag into the returned settings content.
	*
	* This version:
	* - NEVER writes to ~/.claude/ or any global path
	* - NEVER writes log files to disk
	* - Only modifies data IN MEMORY


	╭─── Claude Code v2.1.12 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
	│ │ Tips for getting started │
	│ Welcome back Jonny! │ Run /init to create a CLAUDE.md file with instructions for Claude │
	│ │ │
	│ │ ───────────────────────────────────────────────────────────────── │
	│ ▐▛███▜▌ │ Recent activity