Configure AI behavior to synchronize with local ~/.codex setup.
npx skills add https://github.com/htayj/src --skill codex-profile
Please help me install this Agent Skill. Skill: codex-profile Source: https://github.com/htayj/src/tree/main/dotfiles/pi/.pi/agent/packages/codex-profile/skills/codex-profile Command: npx skills add https://github.com/htayj/src --skill codex-profile
It enables Pi to adapt its behavior to match the user's existing ~/.codex configuration, ensuring consistent project-specific context and skills.
Use the codex-profile skill to load and align Pi’s behavior with your ~/.codex configuration before beginning a project.
High-intent search queries and answers about installing and using this skill.
To sync your AI assistant with your local codex configuration files, you load the codex-profile skill before starting a project. This aligns the AI's behavior with your ~/.codex setup, allowing it to access and respect your local memories, rules, and skills.
Yes, you can use local dotfiles to customize project-specific AI behavior. The skill integrates your local Codex memories, rules, and configuration files, tailoring responses to match your user-defined preferences and ensuring continuity during complex project workflows.
The best way to maintain continuity when starting a complex coding project is to load and reference project-specific memories and skills beforehand. This synchronizes the AI with your ~/.codex setup, ensuring it respects user-specific rules and project memory for relevant assistance.
No, the codex-profile skill does not require any external dependencies to function. It operates independently by directly reading your existing local ~/.codex configuration, accessing your established memories, rules, and skills without needing additional setup tools.
Your AI assistant might ignore custom rules during project implementation if it is not synchronized with your ~/.codex setup. Loading the codex-profile skill ensures the AI accesses your local dotfiles and respects your user-specific rules for enhanced safety and relevance.
Personalizing AI behavior with local configuration files is limited to the scope of your existing ~/.codex setup. The skill synchronizes memory, rules, and skills management strictly within these local dotfiles, meaning contextual responsiveness depends entirely on your predefined configurations.
luigiinredSynchronize Cursor configuration files with a chezmoi-managed dotfiles repository.
hahahafeifeifeiAutomate AI memory capture, distillation, storage, and recall with Neo4j.
erclxExtract session insights into structured Markdown memory files.
kimon1230Manually compress Claude session progress entries with a custom Python compressor module.
