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This article introduces a carefully designed Linux dotfiles configuration tailored for AI-assisted engineering, covering full configurations for Codex and Claude Code, reusable Agent skills, the Graphiti memory layer, and reproducible development environment setup.
Section 01
This article introduces a carefully designed Linux dotfiles configuration tailored for AI-assisted engineering, covering full configurations for Codex and Claude Code, reusable Agent skills, the Graphiti memory layer, and reproducible development environment setup.
Section 02
Section 03
This repository is not just a set of Linux configuration files, but a complete operating system layer for AI-assisted engineering. Beneath the surface of traditional chezmoi dotfiles lies a traceable operation layer designed for Codex: AGENTS files, runtime default configurations, reusable local skills, Graphiti-supported memory layer, and ExecPlans designed for parallel terminal-agent work.
For AI-native engineers, the core value of this repository lies in: it demonstrates how to build a reproducible, traceable, and collaborative AI-assisted development environment.
Section 04
| Layer | Repository Evidence | Reason for Selection |
|---|---|---|
| chezmoi | dot_config/chezmoi/ | Reproducible across machines, avoiding configuration lock-in to a single laptop |
| Codex CLI | dot_codex/config.toml | Versioned models, inference, trust boundaries, MCP, and session default configurations |
| AGENT Instruction Chain | AGENTS.md, AGENTS.repo.md | Transform planning, validation, commit norms, and document synchronization into reviewable workflow rules |
| Claude Code | dot_claude/CLAUDE.md | Import via @path to share the same AGENTS.md behavior baseline |
| Local Skills | dot_agents/skills/ | Package repetitive tasks into reusable local capabilities |
| Graphiti MCP | dot_codex/config.toml | Add a retrievable memory layer for multi-session work |
| Shell Toolchain | fish, tmux, kitty, i3 | Terminal-first execution, optimized for multiple parallel panes |
Section 05
The system achieves behavioral consistency through hierarchical AGENTS files:
These instructions are not vague philosophies, but specific engineering behavior norms:
Section 06
dot_codex/config.toml allows each Codex session to start with a strong configuration:
This means new Codex panes immediately inherit the same configuration without needing re-briefing.
Section 07
dot_agents/skills/ transforms repetitive prompts into reusable capabilities. Each skill is installed to ~/.agents/skills//SKILL.md for Codex use, and symlinked to ~/.claude/skills/ for Claude Code use.
Main skill categories:
Section 08
Via Neo4j-supported Graphiti MCP, Codex gains a local temporal memory surface for long-running multi-session work. Memories include source and evolution context, supporting continuous tracking of complex projects.
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