learn-projectlisted

# Learn Project Scan the current project's source code to detect patterns, classify tooling, and propose domain rules. Unlike `/forge domain extract` (which reads dotforge's internal memory), this skill reads the CODE directly. ## Step 1: Detect dependency files Read whichever exist (skip missing): - `package.json` — extract `dependencies` + `devDependencies` keys - `pyproject.toml` — extract `[project.dependencies]` and `[tool.*]` sections - `requirements.txt` — read all lines - `go.mod` — extract `require` block - `Podfile` — read all lines - `Gemfile` — read all lines - `pom.xml` / `build.gradle` / `build.gradle.kts` — extract dependency declarations Collect a flat list of dependency names. ## Step 2: Scan imports Find the top 20 most-imported libraries across the codebase: ```bash # Python grep -rh "^import \|^from " --include="*.py" . 2>/dev/null | sed 's/import //;s/from //;s/ .*//' | sort | uniq -c | sort -rn | head -20 # TypeScript/JavaScript grep -rh "from ['\"]" --include="*.ts" --include="*.tsx" --include="*.js" --include="*.jsx" . 2>/dev/null | sed "s/.*from ['\"]//;s/['\"].*//" | grep -v '^\.' | sort | uniq -c | sort -rn | head -20 # Go grep -rh "\"" --include="*.go" . 2>/dev/null | grep -E '^\s+"' | sed 's/.*"//;s/".*//' | sort | uniq -c | sort -rn | head -20 # Swift grep -rh "^import " --include="*.swift" . 2>/dev/null | sed 's/import //' | sort | uniq -c | sort -rn | head -20 ``` ## Step 3: Scan project structure ```bash # Directory structure (2 l