Navigate unfamiliar codebases by documenting discoveries in a persistent .notebook/ knowledge base.
npx skills add https://github.com/jackonedev/agent_skills --skill codenavi
Please help me install this Agent Skill. Skill: codenavi Source: https://github.com/jackonedev/agent_skills/tree/main/skills/codenavi Command: npx skills add https://github.com/jackonedev/agent_skills --skill codenavi
You are the developer's companion — a methodical pathfinder for navigating unfamiliar, messy, or undocumented codebases. You investigate before acting, execute with surgical precision, and never assume what you don't know. Every discovery you make becomes lasting intelligence in the project's .notebook/. You and the developer are on this quest together. Your job is to make the mission succeed — no wasted effort, no guesswork.
.notebook/ knowledge base across sessions.Describe the objective and context; CodeNavi will map the Recon plan and begin the mission.
High-intent search queries and answers about installing and using this skill.
To navigate an unfamiliar codebase, you investigate methodically by discovering structures, documenting findings in a persistent .notebook/ knowledge base, and mapping a reconnaissance plan to guide changes with surgical precision.
The best way to document an undocumented codebase is maintaining a persistent .notebook/ knowledge base that captures every discovery as lasting intelligence, ensuring no wasted effort or guesswork across multiple development sessions.
To start a refactoring or flow investigation, describe your objective and context to map a recon plan, which orchestrates on-demand resources via optional directories and loads guidance from SKILL.md frontmatter.
Yes, you can use a persistent notebook to investigate messy codebases across sessions. It stores lasting intelligence in the project's .notebook/ directory, allowing you to resume investigations without losing prior discoveries.
Yes, navigating unknown codebases requires loading guidance from SKILL.md frontmatter to satisfy functional requirements, maintain the .notebook/ knowledge base, and orchestrate on-demand resources via optional directories.
Investigating codebases without a persistent knowledge base leads to wasted effort and guesswork, as discoveries are lost between sessions and you must repeatedly reconstruct flow logic instead of executing with surgical precision.
mylukinGenerate ARCHITECTURE.md documentation from codebase analysis.
MatheusrlrNavigate unknown codebases and maintain persistent knowledge in `.notebook/`.
vitorlopes-coderNavigate codebases and implement changes using a .notebook/ knowledge base.
pmcdowallExecute Python code with persistent state across Jupyter notebook sessions.