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Doing A Simple Two Stage Fanout (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Use when analyzing a large corpus of text, code, or data that exceeds a single agent's effective context - orchestrates parallel Worker subagents,

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

This skill is used for analyzing large corpora of text, code, or data that exceed a single agent's effective context. It orchestrates parallel Worker subagents, Critic review subagents, and a final Summarizer subagent with task tracking and failure recovery. The workflow involves dividing the corpus across Worker subagents, reviewing with Critic subagents, and synthesizing with a Summarizer. Each stage writes to files, and every subagent gets its own task. The skill is designed for two-stage fan-out analysis and does not support nested subagents.

Key features

  • Two-stage fan-out analysis
  • Parallel Worker subagents
  • Critic review subagents
  • Summarizer subagent
  • Task tracking and failure recovery
  • Support for large corpora

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Text Analysis

Analyzing a large corpus of text to extract insights, sentiment, or meaning.

Code Review

Reviewing a large codebase to identify issues, inconsistencies, or areas for improvement.

Data Analysis

Analyzing a large dataset to identify patterns, trends, or correlations.

Pros & Cons

Pros

  • Efficient analysis of large corpora
  • Parallel processing for faster results
  • Task tracking and failure recovery

Cons

  • Complex setup and configuration
  • Requires careful estimation of corpus size and agent capacity
  • Limited to two-stage fan-out analysis

Reviews

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Q&A

What are the key benefits?

Efficient analysis of large corpora, parallel processing for faster results, and task tracking and failure recovery.

Asked by Isabela Almeida · Apr 18, 2026

What are the limitations of this tool?

It does not support nested subagents and is limited to two-stage fan-out analysis.

Asked by Ravi Kapoor · Feb 7, 2026

How does it process data?

It orchestrates parallel Worker subagents, Critic review subagents, and a final Summarizer subagent with task tracking and failure recovery.

Asked by Dovid Klein · Feb 6, 2026

What is this tool used for?

This tool is used for analyzing large corpora of text, code, or data that exceed a single agent's effective context.

Asked by Victor Nguyen · Jan 29, 2026

Ask a question

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