parallel-dispatch-decomposition

Decompose software tasks into MECE parallelizable sub-tasks with scope cards.

150|48|Updated Jan 24, 2026

Search Tags:#agent orchestration #task decomposition #dependency graph #mece #parallel dispatch #scope cards #codebase boundaries

Ready to run

npx skills add https://github.com/irahardianto/awesome-agv --skill parallel-dispatch-decomposition

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-dispatch-decomposition
Source: https://github.com/irahardianto/awesome-agv/tree/main/.agents/skills/parallel-dispatch-decomposition
Command: npx skills add https://github.com/irahardianto/awesome-agv --skill parallel-dispatch-decomposition

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the challenge of turning a broad software delivery task into independent, parallelizable sub-tasks with clear boundaries, deliverables, and dependency expectations.

Core Features & Use Cases

MECE decomposition: Breaks work into mutually exclusive, collectively exhaustive clusters so nothing overlaps or gets missed.
Parallel scope cards: Produces scope cards with deliverables, file allowlists, shared reads, and explicit hard/soft dependencies.
Dependency-aware dispatch: Performs inputs/outputs/dependency scanning so downstream skills can build DAGs, validate ownership, and merge results safely.
Practical orchestration guardrails: Applies a parallelism cap check when decompositions create too many instances of the same agent type.

Quick Start

Use the parallel-dispatch-decomposition skill when you need to split a single engineering domain (e.g., authentication + related features) into parallel agent activities with disjoint file write boundaries and clear scope cards.

Frequently Asked Questions about parallel-dispatch-decomposition

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

FAQPage Schema

How do I decompose a large software task into parallel sub-tasks without overlapping code changes?▼

Task decomposition into MECE parallel scope cards splits broad software domains into mutually exclusive clusters with disjoint file allowlists, ensuring independent agent instances can work simultaneously without overlapping code changes.

What is MECE decomposition for parallel agent orchestration in a shared codebase?▼

MECE decomposition for parallel agent orchestration breaks work into mutually exclusive, collectively exhaustive feature slices, validating coverage and assigning disjoint file boundaries so multiple agents can build concurrently in a shared codebase.

How do I manage dependencies when dispatching parallel feature slices across build and test phases?▼

Managing dependencies during parallel dispatch requires scanning inputs and outputs to identify hard and soft dependencies, enabling downstream DAG construction and safe merging across INVESTIGATION, DESIGN, BUILD, TEST, and REVIEW phases.

Can I apply a parallelism cap when orchestrating too many agent instances of the same type?▼

Yes, parallel dispatch decomposition applies orchestration guardrails by enforcing a parallelism cap check, preventing the system from spawning too many instances of the same agent type when feature decompositions scale.

When do I need scope cards with explicit file allowlists for multi-agent engineering tasks?▼

Scope cards with explicit file allowlists are needed when orchestrating multiple agents across feature slices, providing clear deliverables, shared reads, and dependency expectations to validate ownership and ensure safe merges.

What is the best way to ensure collectively exhaustive coverage when splitting an engineering domain?▼

The best way to ensure collectively exhaustive coverage is clustering feature-based deliverables and validating MECE coverage, guaranteeing nothing overlaps or gets missed when splitting a broad engineering domain into parallel activities.