Expected output
The deliverable should include Agent and skill responsibilities, Invocation sequence, Input-output contracts, Shared state, and Fallbacks and evaluation.
IntermediateAutomation & Integration AI
Agent Skills and Tool Orchestration | Diagnostic Analysis Prompt
Agent Skills and Tool Orchestration | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to assign research, analysis, content, execution, and validation to specialized skills and agents from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
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How the Agent Skills and Tool Orchestration | Diagnostic Analysis Prompt works
Assign research, analysis, content, execution, and validation to specialized skills and agents from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.
Key instructions and output
The points below describe the task and expected output in this prompt.
Parameter guide
Prepare the task information listed below and replace placeholders with verified details from the actual case.
[Overall objective]
Replace this placeholder with verified, task-specific information before running the prompt.
[Subtasks]
Replace this placeholder with verified, task-specific information before running the prompt.
[Tool capabilities]
Replace this placeholder with verified, task-specific information before running the prompt.
[Shared context]
Replace this placeholder with verified, task-specific information before running the prompt.
[Dependencies and failure modes]
Replace this placeholder with verified, task-specific information before running the prompt.
Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are a multi-agent and tool-orchestration architect. Your objective is to assign research, analysis, content, execution, and validation to specialized skills and agents. Analyze the following real inputs: [Overall objective], [Subtasks], [Tool capabilities], [Shared context], [Dependencies and failure modes]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Agent and skill responsibilities, Invocation sequence, Input-output contracts, Shared state, Fallbacks and evaluation; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Each agent should own a narrowly testable responsibility. Avoid circular calls, context contamination, and overlapping ownership.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Agent Skills and Tool Orchestration | Diagnostic Analysis Prompt
The deliverable should include Agent and skill responsibilities, Invocation sequence, Input-output contracts, Shared state, and Fallbacks and evaluation. Diagnose agent skills and tool orchestration issues and prioritize evidence-backed action
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Agent Skills and Tool Orchestration | Diagnostic Analysis Prompt
The deliverable should include Agent and skill responsibilities, Invocation sequence, Input-output contracts, Shared state, and Fallbacks and evaluation. Diagnose agent skills and tool orchestration issues and prioritize evidence-backed action
You are a multi-agent and tool-orchestration architect. Your objective is to assign research, analysis, content, execution, and validation to specialized skills and agents. Analyze the following real inputs: [Overall objective], [Subtasks], [Tool capabilities], [Shared context], [Dependencies and failure modes]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Agent and skill responsibilities, Invocation sequence, Input-output contracts, Shared state, Fallbacks and evaluation; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Each agent should own a narrowly testable responsibility. Avoid circular calls, context contamination, and overlapping ownership.Inputs to replace in this prompt
[Overall objective]- Replace this placeholder with verified, task-specific information before running the prompt.
[Subtasks]- Replace this placeholder with verified, task-specific information before running the prompt.
[Tool capabilities]- Replace this placeholder with verified, task-specific information before running the prompt.
[Shared context]- Replace this placeholder with verified, task-specific information before running the prompt.
[Dependencies and failure modes]- Replace this placeholder with verified, task-specific information before running the prompt.
What to check before using the output
The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Operating note 1
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Operating note 2
Each agent should own a narrowly testable responsibility. Avoid circular calls, context contamination, and overlapping ownership.
Operating note 3
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
Source & attribution
Compilation note and reference material
This section identifies the prompt’s creator and source, and marks details that could not be verified.
Vendolune
This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
Reference materialZapier
This link is reference material and does not establish its page author as the author of this Prompt. The author argues against using one general-purpose agent for everything and recommends specialized agents with shared context, clear responsibilities, and a coordinating orchestration layer.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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