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repo
by johnlindquist
⭐ 12🍴 2📅 2026年1月14日
SKILL.md
name: repo description: Create repository context bundles and code maps. Use to share codebase context, generate documentation, and understand project structure.
Repository Context
Generate context bundles and maps for codebases.
Structure Analysis
Quick Structure
# Tree view (basic)
tree -L 2 -I 'node_modules|.git|dist|build'
# With file counts
tree -L 2 -I 'node_modules|.git' --dirsfirst -C
# Just directories
tree -d -L 3 -I 'node_modules|.git'
Detailed Structure
#!/bin/bash
# repo-structure.sh
echo "# Repository Structure"
echo ""
echo "## Root Files"
ls -la | grep "^-" | awk '{print "- " $NF}'
echo ""
echo "## Directories"
for dir in */; do
if [[ "$dir" != "node_modules/" && "$dir" != ".git/" ]]; then
echo "### $dir"
ls -la "$dir" | head -10
echo ""
fi
done
Code Maps
Generate Code Map
#!/bin/bash
# codemap.sh - Generate code map
echo "# Code Map"
echo ""
# Find all source files
find src -name "*.ts" -o -name "*.tsx" | while read file; do
echo "## $file"
echo '```typescript'
# Extract exports
grep -E "^export (function|const|class|interface|type)" "$file" | head -20
echo '```'
echo ""
done
Function Index
# List all exported functions
grep -rh "^export function" src/ | sort
# With file locations
grep -rn "^export function" src/ | sort
Class Index
# List all classes
grep -rn "^export class" src/ | sort
# With methods
grep -rh "^export class\|^\s*\(async \)\?[a-z]\+(" src/ | head -50
Context Bundles
Create Bundle for AI
#!/bin/bash
# bundle-context.sh - Create context for AI
OUTPUT="CONTEXT.md"
cat > $OUTPUT << 'EOF'
# Repository Context
## Project Overview
EOF
# Add package.json summary
if [ -f package.json ]; then
echo '```json' >> $OUTPUT
jq '{name, description, main, scripts: .scripts | keys}' package.json >> $OUTPUT
echo '```' >> $OUTPUT
fi
# Add key files
echo "" >> $OUTPUT
echo "## Key Files" >> $OUTPUT
for file in src/index.ts src/main.ts app.ts; do
if [ -f "$file" ]; then
echo "" >> $OUTPUT
echo "### $file" >> $OUTPUT
echo '```typescript' >> $OUTPUT
head -100 "$file" >> $OUTPUT
echo '```' >> $OUTPUT
fi
done
echo "Context bundle created: $OUTPUT"
Smart Pack (Key Files Only)
#!/bin/bash
# smart-pack.sh - Pack only important files
# Identify key files
KEY_PATTERNS=(
"package.json"
"tsconfig.json"
"src/index.ts"
"src/main.ts"
"README.md"
)
for pattern in "${KEY_PATTERNS[@]}"; do
if [ -f "$pattern" ]; then
echo "=== $pattern ==="
cat "$pattern"
echo ""
fi
done
Import Analysis
Dependency Graph
# Find what imports what
grep -rh "^import.*from" src/ | \
sed "s/.*from ['\"]//; s/['\"].*//" | \
sort | uniq -c | sort -rn | head -20
External Dependencies
# Most used external packages
grep -rh "^import.*from ['\"]" src/ | \
grep -v "from ['\"]\./" | \
sed "s/.*from ['\"]//; s/['\"].*//" | \
sort | uniq -c | sort -rn
Internal Module Graph
# Internal imports
grep -rh "^import.*from ['\"]\./" src/ | \
sed "s/.*from ['\"]//; s/['\"].*//" | \
sort | uniq -c | sort -rn
AI-Powered Analysis
Architecture Summary
STRUCTURE=$(tree -L 2 -I 'node_modules|.git' --dirsfirst)
PACKAGE=$(cat package.json 2>/dev/null)
gemini -m pro -o text -e "" "Analyze this repository structure:
Structure:
$STRUCTURE
package.json:
$PACKAGE
Provide:
1. Architecture pattern used
2. Main entry points
3. Key modules and their purpose
4. Dependencies overview
5. Suggested improvements"
Code Quality Overview
# Get sample of files
SAMPLES=$(find src -name "*.ts" | head -5 | xargs cat)
gemini -m pro -o text -e "" "Review code quality:
$SAMPLES
Assess:
1. Code organization
2. Naming conventions
3. Error handling
4. Type safety
5. Suggestions"
Documentation Generation
Auto README
gemini -m pro -o text -e "" "Generate a README for this project:
package.json:
$(cat package.json)
Main file:
$(cat src/index.ts | head -100)
Include:
- Description
- Installation
- Usage
- API overview
- Contributing"
API Documentation
# Extract all exports
EXPORTS=$(grep -rh "^export" src/ | head -50)
gemini -m pro -o text -e "" "Generate API documentation for:
$EXPORTS
Format as markdown with:
- Function signatures
- Parameter descriptions
- Return types
- Example usage"
Best Practices
- Ignore noise - Exclude node_modules, .git, build
- Focus on entry points - Start with main files
- Track dependencies - Understand what's imported
- Use AI for summaries - Large codebases need synthesis
- Keep bundles updated - Regenerate after major changes
- Share context - Help others understand quickly
スコア
総合スコア
40/100
リポジトリの品質指標に基づく評価
✓SKILL.md
SKILL.mdファイルが含まれている
+20
○LICENSE
ライセンスが設定されている
0/10
○説明文
100文字以上の説明がある
0/10
○人気
GitHub Stars 100以上
0/15
○最近の活動
3ヶ月以内に更新がある
0/10
○フォーク
10回以上フォークされている
0/5
✓Issue管理
オープンIssueが50未満
+5
✓言語
プログラミング言語が設定されている
+5
○タグ
1つ以上のタグが設定されている
0/5
レビュー
💬
レビュー機能は近日公開予定です