implementation

Squad Assembly

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Multi-Agent Editorial Integrity Suite with CrewAI

Format

Code-aware

Lines

Sections

Linked challenge

Multi-Agent Editorial Integrity Suite with CrewAI

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines

1 sections

No variables

0 checklist items

from crewai import Agent, Task, Crew. Define a 'Fact-Checker' agent using Claude Sonnet 4.6.6 to review content for originality.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

Prompt diagnostics

Variables

Lists

Code blocks

Purpose

implementation

This prompt already mixes executable detail with instructions, so tune examples and interfaces before rewriting the scaffold.

Linked challenge

Multi-Agent Editorial Integrity Suite with CrewAI

Create a multi-agent team using CrewAI to analyze content originality and publication standards. In light of concerns regarding copied material and restructuring in digital media, this agent team will act as a 'content integrity unit'. Agents will be assigned specific roles: a Researcher, a Fact-Checker, and a Synthesis Expert. They will use Claude Sonnet 4.6.6 to perform deep semantic comparisons and audit content workflows, ensuring that all published work maintains high craftsmanship standards.

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