llm-context
The portable layer: agent rules, personal context, tool adapters, enforcement hooks, skills, and the brief-to-handoff workflow shared across Claude Code, Codex, and the repos that publish selected content.
A personal reference hub — the context, rules, and skills that steer how I work with AI tools. The pages below mirror the parts worth keeping close; the source repositories hold the system around them.
The mirrored documents here are generated from llm-context
rather than written on this site.
llm-context is public. workstation remains private
by design; GitHub returns a 404 unless you are signed in with access.
The portable layer: agent rules, personal context, tool adapters, enforcement hooks, skills, and the brief-to-handoff workflow shared across Claude Code, Codex, and the repos that publish selected content.
The machine layer: a reproducible Apple Silicon macOS setup with
declarative tooling, per-project runtimes, and security boundaries for
working across multiple client environments. It installs
llm-context as part of a new-machine bootstrap.
Who I am and what I'm focused on — the bio my tools load.
How my writing should read — the full voice, phrase library, and formatting rules.
How I work: think first, keep it simple, surgical changes, goal-driven execution, branch before building.
The condensed writing rules — plain language, options with tradeoffs, tone, formatting.
Where briefs and handoffs live, and how work routes between tools and people.
Reusable engineering, product, security, and compliance workflows for AI coding tools.