Execute coordinated parallel file operations across glob-matched files.
npx skills add https://github.com/uniQuk/Claudex-cli --skill batch-uniquk
Please help me install this Agent Skill. Skill: batch Source: https://github.com/uniQuk/Claudex-cli/tree/main/packages/core/src/skills/bundled/batch Command: npx skills add https://github.com/uniQuk/Claudex-cli --skill batch-uniquk
This Skill orchestrates batch operations across multiple files by discovering, chunking, and executing tasks in parallel, dramatically reducing manual boilerplate in large codebases.
Describe the target files and operation, then run the batch to process them in parallel.
High-intent search queries and answers about installing and using this skill.
Parallel file operations are executed by discovering target files through glob patterns, splitting matches into balanced chunks, and orchestrating concurrent worker agents to process edits, transforms, and checks simultaneously.
Automating batch edits on a large repository requires chunked parallel execution, where matched files are divided into balanced groups and processed concurrently by up to five worker agents to reduce manual boilerplate.
Chunking splits glob-discovered files into balanced groups so parallel worker agents can execute operations concurrently, preventing resource overload while maintaining coordinated execution and aggregated reporting across the entire collection.
Yes, glob-based discovery automatically finds and filters target files across projects of any size, excluding irrelevant noise while enabling coordinated batch transforms to run in parallel across the matched collection.
Partial failures during parallel batch execution are handled gracefully through result aggregation, providing per-file status tracking and a final summary so successful operations complete while failed ones are reported independently.
Parallel batch processing orchestrates concurrent worker agents across chunked file groups, dramatically reducing execution time and manual boilerplate compared to sequential operations when applying edits or transforms across large codebases.
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