Inspect large JSON files and perform path-based CRUD operations with atomic writes.
npx skills add https://github.com/Mlightsnow/json-skill --skill json-crud
Please help me install this Agent Skill. Skill: json-crud Source: https://github.com/Mlightsnow/json-skill/tree/main Command: npx skills add https://github.com/Mlightsnow/json-skill --skill json-crud
Reading and modifying large JSON files can be memory-intensive and error-prone; this skill provides a two-step workflow to inspect structure and then perform targeted edits without loading the entire file.
Run python3 scripts/inspect.py FILE to view the structure, then use python3 scripts/get.py FILE PATH to read, python3 scripts/set.py FILE PATH VALUE to update, or python3 scripts/delete.py FILE PATH to remove.
High-intent search queries and answers about installing and using this skill.
To edit a large JSON file without loading it entirely, use a two-step workflow: first inspect the file structure to derive a compact summary, then perform targeted path-based CRUD operations with atomic writes.
The best way to update a value in a nested JSON array via the command line is by using path-based operations that parse arrays and quoted keys, allowing targeted updates without full file loads.
Yes, you can safely delete keys from a large JSON file using atomic writes via temporary files, which preserves data integrity by ensuring the original file is only replaced upon successful operation completion.
To inspect the structure of a massive JSON file, run an inspection script that generates a depth-limited summary with sample values, allowing you to identify exact paths before performing operations.
Yes, atomic write functionality works when modifying large JSON files on the command line by using temporary files to write changes before replacing the original, ensuring safe I/O and preventing partial writes.
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