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paper-parallel-audit

Distribute batch audits across parallel agents and merge JSON outputs.

38|3|Updated May 7, 2026
Search Tags:#data-integrity#workflow-orchestration#parallel-processing#json-output#agent-based#batch-audit
One-click install
npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill paper-parallel-audit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-parallel-audit
Source: https://github.com/Chanw-research/claude-code-paper-writing/tree/main/skills/paper-discipline/paper-parallel-audit
Command: npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill paper-parallel-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This description addresses the need to efficiently execute large-scale, homogeneous batch audits by distributing work across multiple agents, collecting structured outputs, and enabling safe restarts without redoing completed work.

Core Features & Use Cases

  • Parallelize batch audits by splitting the workload into shards and running multiple agents concurrently.
  • Each agent emits structured JSON results to enable reliable aggregation and fault-tolerant restarts.
  • Master process merges shard outputs and supports breakpoint resumes for long-running tasks.

Quick Start

Split the workload into shards, launch parallel agents, each writes a shard-*.json, then run the merge tool to produce the final report.

Frequently Asked Questions about paper-parallel-audit

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

FAQPage Schema
How do I run parallel batch audits for large-scale homogeneous tasks?▼

Run parallel batch audits by splitting workloads into shards, launching concurrent agents to process them, and merging their structured JSON outputs into a final aggregated report.

What is the minimum number of items needed for parallel agent batch processing?▼

Parallel agent batch processing requires at least 30 homogeneous independent items to ensure the workload can be effectively distributed and audited across multiple concurrent agents.

How do I resume a long-running batch audit after an interruption?▼

Resume a long-running batch audit from the last completed checkpoint using the breakpoint resume feature, which avoids redoing finished shards and reconciles remaining work through a central merger.

Why do agents need to output JSON files during workflow orchestration?▼

Agents must output JSON files during workflow orchestration to enable reliable aggregation by a central merger and support fault-tolerant restarts when resuming large-scale batch audits.

Can I use parallel processing for heterogeneous audit tasks with different logic?▼

No, parallel processing applies to homogeneous, independent tasks where each item uses the exact same processing logic, ensuring consistent JSON outputs across all distributed agents.

What's the best way to merge shard outputs from multiple concurrent agents?▼

Merge shard outputs from concurrent agents by running a central merger tool that reconciles individual shard JSON files, producing a unified final report for your batch audit workflow.

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