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SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
1.13K subscribers
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Did Skills Kill MCP?
goose-docs.ai
Did Skills Kill MCP?
An overview of Agent Skills vs MCP
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
How We Use goose to Maintain goose
goose-docs.ai
How We Use goose to Maintain goose
Learn how an AI agent embedded in GitHub Actions helps maintainers triage issues and keep open source moving.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
How I Taught My Agent My Design Taste
goose-docs.ai
How I Taught My Agent My Design Taste
I used Agent Skills and recipes to automate execution so I could study taste, constraint design, feedback loops, and avoid AI smells.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Agent Guardrails and Controls: Applying the CORS Model to Agents
goose-docs.ai
Agent Guardrails and Controls: Applying the CORS Model to Agents
Applying the security model of CORS to Agentic technologies to address common attacks against tool calling.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
goose Lands MCP Apps
goose-docs.ai
goose Lands MCP Apps
goose ships early support for the draft MCP Apps specification, aligning with the emerging standard for interactive UIs in MCP.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Why Tool Descriptions Aren’t Enough
goose-docs.ai
Why Tool Descriptions Aren’t Enough
I thought better tool descriptions would solve everything. They didn’t. Here’s what finally made MCP sampling click for me.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
goose mobile apps and agent clients
goose-docs.ai
goose mobile apps and agent clients
Consolidating agent apps for iOS and Android and ACP
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
From MCP-UI to MCP Apps: Evolving Interactive Agent UIs
goose-docs.ai
From MCP-UI to MCP Apps: Evolving Interactive Agent UIs
I migrated a real MCP-UI server to MCP Apps. Here’s what actually changed, what broke, and why this shift matters..
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
5 Tips for Building MCP Apps That Work
goose-docs.ai
5 Tips for Building MCP Apps That Work
5 expert tips on building better MCP Apps for your AI agents
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
8 Things You Didn't Know About Code Mode
goose-docs.ai
8 Things You Didn't Know About Code Mode
Discover how Code mode reduces context rot and token usage in AI agents making them more efficient for long running sessions.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
How I Used RPI to Build an OpenClaw Alternative
goose-docs.ai
How I Used RPI to Build an OpenClaw Alternative
Learn how I built a minimal, personal AI agent using goose and the RPI method.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Level Up Your AI Game with rp-why
goose-docs.ai
Level Up Your AI Game with rp-why
A goose skill that measures the cognitive complexity of your AI collaboration using the Gas Town × DOK framework.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
One Shot Prompting is Dead
goose-docs.ai
One Shot Prompting is Dead
Practical steps and mental models for building context-engineered workflows instead of clever prompts..
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Gas Town Explained: How to Use Goosetown for Parallel Agentic Engineering
goose-docs.ai
Gas Town Explained: How to Use Goosetown for Parallel Agentic Engineering
Learn how Gas Town and Goosetown lead the industrial coding revolution by teaching AI agents to work together in a team.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
goose v1.25.0: Sandboxed, Streamlined, and More Secure
goose-docs.ai
goose v1.25.0: Sandboxed, Streamlined, and More Secure
goose v1.25.0 brings macOS sandboxing, a unified summon extension, rich MCP app UIs, agentic CLI upgrades, and SLSA build provenance.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Grant Winner: Goose In A Pond
goose-docs.ai
Meet the Goose Grant Winner: Goose In A Pond
Introducing a privacy-first, local AI home assistant powered by Goose on edge hardware.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Order Lunch Without Leaving Your AI Agent
goose-docs.ai
Order Lunch Without Leaving Your AI Agent
Use the Neighborhood extension in goose to discover nearby restaurants, browse interactive menus, and place a takeout order, all from a simple chat prompt.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
WebMCP for Beginners
goose-docs.ai
WebMCP for Beginners
WebMCP lets websites expose structured actions that AI agents can call directly. This guide explains how it works, how it differs from MCP and browser automation, and how to build your own WebMCP-enabled site.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Use Goose with Your AI Subscription
goose-docs.ai
Use Goose with Your AI Subscription | goose
A quick update on using subscriptions for claude, gemini and codex
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
goose Blog:
Adversary Agent: using a hidden agent to keep the main agent safe
goose-docs.ai
Adversary Agent: using a hidden agent to keep the main agent safe
Introducing adversary mode — an independent agent reviewer that silently watches the main agent to keep it away from danger.
SATOSHI ° NOSTR ° AI + CLAW ° LINUX ° ₿2B • OSINT • LEARN | HODLER
Crazy Stupid Tech:
Behold, an AI startup with a real business
Crazy Stupid Tech
How Audioshake Revolutionizes Music with AI Technology
Discover how Audioshake's innovative technology transforms music by isolating stems, creating endless possibilities in the entertainment industry.