resolve_parallel

Name: resolve_parallel
Availability: InStock
Author: the-rabak

Resolve TODO comments by planning dependencies and executing parallel subagents.

Updated Mar 3, 2026

Search Tags:#automation #workflow #todo #resolve #code-review #parallel-processing

Ready to run

npx skills add https://github.com/The-Rabak/naysmith --skill resolve-parallel-the-rabak

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: resolve_parallel
Source: https://github.com/The-Rabak/naysmith/tree/main/.github/skills/resolve_parallel
Command: npx skills add https://github.com/The-Rabak/naysmith --skill resolve-parallel-the-rabak

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Resolve TODO comments efficiently by distributing the work across parallel agents, reducing wait times and backlog in code review and maintenance tasks.

Core Features & Use Cases

Parallel Todo Resolution: splits the backlog into independent tasks and processes them concurrently.
Dependency-aware planning: analyzes interdependencies to determine safe parallel execution order and necessary sequencing.
Automated implementation workflow: spawns per-item subagents to implement changes and aggregates results for commit.
Use Case: ideal for large codebases with many TODOs and interdependent changes that can be tackled in parallel.

Quick Start

Provide the initial set of TODO patterns or files to start parallel resolution.

Frequently Asked Questions about resolve_parallel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I resolve multiple TODO comments in parallel across a large codebase?▼

You can resolve TODO comments in parallel by distributing the backlog into independent tasks and spawning per-item subagents to implement changes concurrently. The system analyzes interdependencies to determine safe execution order and consolidates results before committing.

What is the best way to handle interdependent TODO updates during automated code review?▼

Handling interdependent TODO updates requires dependency-aware planning to map a safe parallel execution diagram. This approach processes independent items concurrently while sequencing interdependent updates, ensuring deterministic task execution and safe version control practices.

Can I automate TODO resolution for codebases with many outstanding maintenance items?▼

Yes, you can automate TODO resolution by spawning per-item subagents to implement changes across the repository. This workflow aggregates results for commit, reducing wait times and backlog in code review and maintenance tasks for large codebases.

How does parallel processing work for resolving TODO comments with dependencies?▼

Parallel processing for TODO resolution works by splitting the backlog into independent tasks, analyzing interdependencies, and generating a parallel execution diagram. Per-item subagents execute tasks concurrently while respecting necessary sequencing and consolidating results before committing.

Do I need to provide specific TODO patterns to start parallel resolution?▼

Yes, you need to provide the initial set of TODO patterns or files to start parallel resolution. The system then plans dependencies, generates a parallel execution diagram, and implements changes by spawning per-item subagents.

What are the limitations of using parallel subagents for TODO resolution?▼

Parallel TODO resolution requires dependency-aware planning to safely sequence interdependent updates. While it processes independent items concurrently, tasks with complex interdependencies may need sequential execution, and all results must be consolidated before committing to ensure safe version control practices.