Welcome back to episode 2 of Forward Deployed. This week Noah and Lance dive deep into Claude Code skills, a deceptively simple feature that’s changing how we think about building AI agents. Noah walks through the Alephic CLI he’s been building and reveals a wild hook-based routing system using Cerebras at 3,000 tokens per second.
Plus: Why Andreessen thinks AI isn’t the Internet redux.
Key Topics Covered
Claude Code skills and the progressive disclosure problem
How Noah built a hook to solve the 10% skill hit rate
Tier 1 vs Tier 2 action space: Why Manus and Anthropic converged on the same architecture independently
3,000 tokens per second: Using Cerebras Llama 120B as an invisible routing layer for every user message
The MCP/skill/command convergence: Are they all just different flavors of the same primitive?
Vision feedback loop: Turning Gemini into a Pentagram creative director to critique Claude’s web designs
Andreessen’s “computers v2” thesis: Why AI isn’t the Internet redux, it’s the first von Neumann architecture replacement in 80 years
Git workflows with Claude Code: Why Lance and Noah don’t worry about merge conflicts anymore
Timestamps
00:11 – Welcome to episode 2 on Claude Code skills
00:28 – What are Claude Code skills? Not much more than a folder full of prompts
01:10 – Lance: Skills as “instructing a new hire” with subfolder instructions
01:25 – Simon Willison and Jesse Vincent’s “superpowers” discovery
04:45 – Noah demos the Alephic CLI skill directory structure
07:32 – The hook-based skill search system using Cerebras
08:19 – Lance reveals: YAML front matter always loads into system prompt
09:32 – The 10% skill hit rate problem when you have 10+ skills
10:08 – Cerebras Llama 120B running at 3,000 tokens per second for invisible routing
13:17 – The universal pattern: Everyone’s trying to control context
15:59 – Tier 1 vs Tier 2 action space: Manus and Anthropic converge independently
21:29 – Noah’s big challenge: Getting models to consistently look for skills
28:04 – Hit rate drops to 10% even with only 4–5 skills
30:54 – Could progressive disclosure become built-in like chain of thought?
34:06 – Lance on externalizing context to file systems
35:15 – Vision feedback loop: Gemini as Pentagram creative director critiquing Claude’s designs
37:57 – Andreessen: AI isn’t the Internet, it’s computers v2
42:08 – Why Noah and Lance don’t worry about merge conflicts anymore
Links & References
Core References
📄 Anthropic Engineering Blog on Skills – The engineering blog post Lance mentions about YAML front matter and system prompts
🎙️ Andrej Karpathy on Dwarkesh Podcast – Discussion on small models and reasoning engines
🎙️ Andreessen on Cheeky Pint Podcast – “AI is computers v2” thesis: First von Neumann architecture replacement in 80 years
🎙️ Claude Code Podcast with Boris and Kat – Discussion on dual-use tools
Tools & Frameworks
🔗 Claude Code – Anthropic’s AI coding assistant
🔗 Jesse Vincent’s Superpowers – Original skills plugin that inspired Noah
🔗 Manus – Consumer agent with multi-tier action space architecture
🔗 Cerebras – Llama 120B at 3,000 tokens per second
🔗 Puppeteer MCP – Browser automation MCP
🔗 Playwright MCP – Browser automation alternative
🔗 GitHub CLI – Command line tool Lance loves for PR management
Blog Posts
Simon Willison’s Blog – First place Noah saw Claude Code skills coverage
Cloudflare TypeScript Type Definitions Technique – Alternative to classic MCP definitions
Companies Mentioned
Anthropic – Claude Code creator
LangChain – Where Lance is a founding engineer
Alephic – Noah’s AI consulting company
Pentagram – Design agency Noah used as creative director persona
Development Tools
Obsidian – Note-taking use case for Claude Code
Git Work Trees – How the team manages multi-branch development
About the Hosts
Noah Brier is co-founder of Alephic, an AI consulting company helping brands build custom AI systems. He writes about AI strategy and implementation.
Lance Martin is a founding engineer at LangChain, where he works on developer tools for building AI applications.
Connect with the Hosts
Subscribe for weekly episodes exploring how AI is actually being deployed in the real world.
