codebase-onboard

Use when asked to understand, tour, or onboard to a codebase. Triggers on: 'onboard', 'explain codebase', 'walk me through the code', 'new to this project', 'codebase overview', 'how is this structured', 'give me a tour', 'tổng quan codebase', 'giải thích project', 'entry point', 'where to start reading'.

インストールへ移動

リポジトリ: yanacuti1121/Yana-AI
ソースの最終更新活動: 2026年7月2日 23:25
検出された SKILL.md の言語: ベトナム語
スター: 1
フォーク: 0

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

Codex または Claude でインストールこの Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。

直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。

npx skills add https://github.com/yanacuti1121/Yana-AI --skill codebase-onboard

コマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。

ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

SKILL.md

ソースの指示 · 読み取り専用プレビュー

検索に戻るインストールに戻る

yana-ai

Sovereign-grade safety OS for AI coding agents. 62 hooks, 2,025 skills, L1 memory, circuit breakers, and cross-engine enforcement — blocks rm -rf, force push, pipe-to-shell, and 40+ attack vectors before they reach your repo.

2026-07-27

langchain-ai-openwiki

Use when the user wants to generate or keep repository documentation up to date via OpenWiki (langchain-ai/openwiki) — an LLM-driven CLI that writes a wiki for a codebase (or a personal knowledge base from Notion/Gmail/Slack/X/web search) and keeps it fresh via a scheduled CI pull request. Examples: "set up OpenWiki for this repo", "keep the docs updated automatically", "generate an agent wiki".

2026-07-18

augmented-reality-from-scratch

Use when implementing the core AR pipeline (camera pose estimation, marker tracking, projection overlay) from first principles — not when just using ARKit/ARCore/Unity's AR framework as a black box. Triggers on: 'build augmented reality from scratch', 'marker-based AR tracking', 'camera pose estimation', 'implement fiducial marker detection', 'AR projection matrix math', 'markerless AR tracking'. Covers marker-based vs markerless tracking, pose estimation, and the projection math to overlay 3D content on a camera feed.

2026-07-17

このリポジトリのすべてを見る

Tier: TIER 3 — PRODUCTIVITY

Tạo guided tour của codebase bằng pipeline 4 bước tuần tự. Không đọc tất cả file — đọc đúng file, đúng thứ tự, đủ để hiểu.

Pipeline (sequential — mỗi bước dùng output của bước trước)

Step 1: project-scanner → structure map + entry points Step 2: architecture-analyzer → patterns + key abstractions + data flow Step 3: dependency-mapper → internal call graph + external deps Step 4: tour-builder → guided narrative + reading order

Khi nào dùng

Người mới vào project lần đầu

Claude Code session mới trên repo chưa quen

"What is this codebase / where do I start?"

Onboard agent mới vào YAMTAM workflow

Do NOT use for: debugging cụ thể, code review, refactor. Dùng /debug hoặc /code-review.

Step 1 — Project Scanner

Mục tiêu: Map cấu trúc thư mục + tìm entry points thực sự (không đoán).

# 1a. Structure overview (top-level + 1 level deep) find . -maxdepth 2 -not -path '*/node_modules/*' -not -path '*/.git/*' \ -not -path '*/.claude/*' | sort | head -80 # 1b. Entry point candidates grep -r package.json 2>/dev/null | -10 find . -name -o -name -o -name 2>/dev/null | -5 find . -maxdepth 2 -name -perm /111 2>/dev/null | -10 -la .* tsconfig* pyproject* Makefile Dockerfile* 2>/dev/null find . -not -path -not -path \ -name -o -name -o -name -o -name \ | sed | | -c | -rn | -10

name	codebase-onboard
description	Use when asked to understand, tour, or onboard to a codebase. Triggers on: 'onboard', 'explain codebase', 'walk me through the code', 'new to this project', 'codebase overview', 'how is this structured', 'give me a tour', 'tổng quan codebase', 'giải thích project', 'entry point', 'where to start reading'.