resolve-parallel

To resolve TODO comments concurrently, this Skill analyzes dependency order across the codebase, spawns parallel resolver agents for each item, and commits the resulting changes. It accelerates batch fixes by running independent tasks simultaneously while preserving required sequencing for dependent changes.

Automating PR review comment fixes is best handled by analyzing dependencies and running parallel resolver agents for each item concurrently. This approach replaces manual sequential fixes with an orchestrated workflow that commits and pushes updates back to the remote repository.

Dependency analysis for parallel processing identifies ordering constraints among TODO and PR comment items to determine which tasks can run concurrently and which must wait. It produces a mermaid flow diagram indicating concurrency and sequencing before spawning resolver agents.

Yes, parallel processing supports batch refactors and naming changes by applying independent tasks concurrently across a codebase. It analyzes dependencies to ensure independent items run in parallel while sequenced changes wait, then commits and pushes the updates.

A mermaid flow diagram is generated automatically to visualize task relationships, concurrency, and sequencing during TODO resolution. It maps out the parallel resolver orchestration so you can verify that independent fixes run concurrently and dependent changes are properly ordered.

You should avoid parallel resolver agents when TODO or PR comment items have complex, tightly coupled dependencies that prevent concurrent execution. If tasks cannot run independently without conflicting changes, sequential manual fixes may be necessary to maintain codebase stability.