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batch-task-executor

Coordinate large task batches with status tracking and safe parallel execution.

4|Updated Mar 5, 2026
Search Tags:#parallel execution#dependency analysis#risk management#status tracking#task orchestration#batch coordination
One-click install
npx skills add https://github.com/lirrensi/agent-sommelier --skill batch-task-executor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: batch-task-executor
Source: https://github.com/lirrensi/agent-sommelier/tree/main/skills/batch-task-executor
Command: npx skills add https://github.com/lirrensi/agent-sommelier --skill batch-task-executor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It solves the problem of coordinating a large set of work items—coming from files, lists, trackers, or pasted content—by turning them into a safe execution plan with consistent status tracking and reporting.

Core Features & Use Cases

  • Batch intake and normalization: Reads many task-source formats and normalizes them into stable, traceable work items.
  • Coordinator-style dependency and safety analysis: Detects ordering needs, conflicts, blockers, and determines what can be safely parallelized.
  • Status update and result aggregation contracts: Ensures each item reports a structured outcome and only the coordinator writes final tracker/source updates.
  • Operating modes for real workflows: Supports plan-only, execute, resume, and reduce-only flows for long or iterative batches.

Quick Start

Use this skill when you need to mass-process tasks from a checklist or tracker export, and ask it to produce a batch plan or execute safely with bounded concurrency.

Frequently Asked Questions about batch-task-executor

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

FAQPage Schema
How do I safely execute a large batch of parallel tasks with dependency conflicts?▼

Parallel task execution requires a coordinator to analyze dependencies, detect conflicts, and determine safe parallelization bounds. This prevents unsafe parallel writes by enforcing a worker result schema and ensuring only the coordinator updates the final tracker.

What is batch task orchestration and when do I need it for bulk review workflows?▼

Batch task orchestration coordinates large sets of related work items into a safe execution plan with consistent status tracking. You need it for bulk review, audit-and-summarize, or migration planning workflows requiring structured result aggregation.

How do I normalize task intake from multiple file formats for batch coordination?▼

Normalizing task intake for batch coordination involves reading many task-source formats, such as files, lists, trackers, or pasted content, and converting them into stable, traceable work items. This allows the coordinator to consistently process and manage the entire batch.

Can I resume a long batch execution if the process is interrupted?▼

Yes, you can resume an interrupted batch execution by using the resume operating mode. This mode supports long or iterative batches by picking up from the last coordinator-verified tracker state without restarting the workflow.

What are the limitations of parallel task execution without dependency analysis?▼

Without dependency analysis, parallel task execution risks unsafe parallel writes, unresolved blockers, and processing conflicts. Lacking coordinator-verified tracker updates means work items cannot safely report structured outcomes or guarantee consistent status tracking.

Does batch coordination support plan-only mode for migration planning?▼

Yes, batch coordination supports a plan-only mode for migration planning. This mode generates a safe execution plan with dependency and conflict analysis without immediately executing tasks, fitting iterative workflows requiring review before processing.

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