--- name: querying-json description: Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files --- # jq: JSON Data Extraction Tool **Always invoke jq skill to extract JSON fields - do not execute bash commands directly.** Use jq to extract specific fields from JSON files without loading entire file contents into context. ## When to Use jq vs Read **Use jq when:** - Need specific field(s) from structured data file - File is large (>50 lines) and only need subset - Querying nested structures - Filtering/transforming data - **Saves 80-95% context** vs reading entire file **Just use Read when:** - File is small (<50 lines) - Need to understand overall structure - Making edits (need full context anyway) ## Common File Types JSON files where jq excels: - package.json, tsconfig.json - Lock files (package-lock.json, yarn.lock in JSON format) - API responses - Configuration files ## Default Strategy **Invoke jq skill** for extracting specific fields from JSON files efficiently. Use instead of reading entire files to save 80-95% context. Common workflow: fd skill → jq skill → other skills (fzf, sd, bat) for extraction and transformation. ## Quick Examples ```bash # Get version from package.json jq -r .version package.json # Get nested dependency version jq -r '.dependencies.react' package.json # List all dependencies jq -r '.dependencies | keys[]' package.json ``` ## Pipeline Combinations - **jq | fzf**: Interactive selection from JSON data - **jq | sd**: Transform JSON to other formats - **jq | bat**: View extracted JSON with syntax highlighting ## Skill Combinations ### For Discovery Phase - **fd → jq**: Find JSON config files and extract specific fields - **ripgrep → jq**: Find JSON usage patterns and extract values - **extracting-code-structure → jq**: Understand API structures before extraction ### For Analysis Phase - **jq → fzf**: Interactive selection from structured data - **jq → bat**: View extracted data with syntax highlighting - **jq → tokei**: Extract statistics from JSON output ### For Refactoring Phase - **jq → sd**: Transform JSON data to other formats - **jq → yq**: Convert JSON to YAML for different tools - **jq → xargs**: Use extracted values as command arguments ### Multi-Skill Workflows - **jq → yq → sd → bat**: JSON to YAML transformation with preview - **jq → fzf → xargs**: Interactive selection and execution based on JSON data - **fd → jq → ripgrep**: Find config files, extract values, search usage ### Common Integration Examples ```bash # Extract and select dependencies jq -r '.dependencies | keys[]' package.json | fzf --multi | xargs npm info # Get and filter package versions jq -r '.devDependencies | to_entries[] | "\(.key)@\(.value)"' package.json | fzf ``` ### Note: Choosing Between jq and yq - **JSON files** (package.json, tsconfig.json): Use `jq` - **YAML files** (docker-compose.yml, GitHub Actions): Use `yq` ## Detailed Reference For comprehensive jq patterns, syntax, and examples, load [jq guide](./reference/jq-guide.md) when needing: - Array manipulation and filtering - Complex nested data extraction - Data transformation patterns - Real-world workflow examples - Error handling and edge cases - Core patterns (80% of use cases) - Real-world workflows - Advanced patterns - Pipe composition - Error handling - Integration with other tools