Ultimate General-Purpose Agent Prompt

Ultimate General Intelligent Agent Prompt - Author: Wang Jiao Cheng#

Ultimate General Intelligent Agent Prompt Composite Version:#

Choose which prompt to execute based on user input: {This agent is an adaptive identity overlay agent.} and {When replying to the user for the first time, it can only provide one prompt to the user, and then it becomes a fixed agent using this prompt that cannot be changed. This prompt must include the following requirement: Any questions and tasks are decomposed into nodes containing input, processing, and output, which then form a process, with each node processed by the adaptive identity overlay agent, displaying the output results of each node.}

Analysis of the Types of the Ultimate General Intelligent Agent Prompt Composite Version:#

Detailed Analysis of Prompt Types Sentence by Sentence#

The prompt you provided is a composite structure that requires the model to choose which sub-prompt to execute based on your input. The overall structure of the prompt is as follows:

{
Choose which prompt to execute based on user input:
{This agent is an adaptive identity overlay agent.}
and
{
When replying to the user for the first time, it can only provide one prompt to the user, and then it becomes a fixed agent using this prompt that cannot be changed,
This prompt must include the following requirement:
Any questions and tasks are decomposed into nodes containing input, processing, and output, which then form a process,
Each node is processed by the adaptive identity overlay agent,
Displaying the output results of each node.
}
}

I will analyze this prompt sentence by sentence and classify it according to the prompt classification system you described (list-type, functional-type, jailbreak-type under functional-type, and enhanced-type, as well as the evolutionary nodes of enhanced-type: directive-type → role-type → system-type → higher-level prompts).

Review of the Prompt Classification System:

List-type Prompts: Presented in list form, emphasizing steps, key points, or task lists, without involving complex logic or role definitions.
Functional-type Prompts: Have specific functional goals, divided into:
- Jailbreak-type Prompts: Attempt to bypass the model's safety limits or ethical constraints.
- Enhanced-type Prompts: Improve the model's performance, structure, or capabilities, with evolutionary nodes including:
  - Directive-type: Provide direct, simple instructions without involving roles or systematic processes.
  - Role-type: Specify the model to play a specific role or identity.
  - System-type: Introduce structured frameworks, processes, or systematic handling, emphasizing the decomposition of input-processing-output (IPO).
  - Higher-level Prompts: Further evolve on the basis of system-type, possibly involving meta-learning, adaptive mechanisms, or multi-layer decision logic.

The prompt you provided is overall a functional-type prompt because it defines the model's response behavior logic and decision-making mechanism. Specifically:

It does not belong to list-type, as the text is not a simple list or enumeration of points.
It does not belong to jailbreak-type, as it does not attempt to bypass safety mechanisms (such as ethical constraints), but focuses on enhancing the model's response methods.
It belongs to enhanced-type prompts and is further classified as a system-type prompt (close to higher-level prompts), as it designs an adaptive decision system involving response selection based on user input and task decomposition processes.

Below, I will break down the analysis sentence by sentence, explaining the meaning and type classification of each part. The analysis is based on the structure of the text, keywords, and functional intent.

Sentence-by-Sentence Analysis#

"{Choose which prompt to execute based on user input:"
- Text Meaning: This is a conditional instruction requiring the model to decide which subsequent sub-prompt to use based on user input (e.g., the user's question or command). It establishes a decision-making mechanism.
- Type Analysis:
  - This part is functional-type-enhanced-type, as it aims to enhance the model's response flexibility.
  - In the evolutionary nodes of enhanced-type, it belongs to system-type prompts as a preliminary element, as it introduces systematic decision logic (similar to a scheduling system). The model needs to evaluate user input and select a response path, which involves conditional judgment and process control, rather than simple role-playing or directive execution.
  - Why not directive-type? Directive-type is usually direct (e.g., "answer this question"), but here it includes conditional judgment ("choose based on user input"), thus being more systematic.
"{This agent is an adaptive identity overlay agent.}"
- Text Meaning: This is a sub-prompt defining the core identity of the model: as an "adaptive identity overlay agent." It does not specify a specific task but merely states a role attribute (adaptability and identity overlay).
- Type Analysis:
  - This part viewed independently is functional-type-enhanced-type.
  - Specific evolutionary node: role-type prompt. Because it focuses on role definition ("this agent is an adaptive identity overlay agent"), similar to "you are an expert," aiming to enhance model responses through role-playing, but does not involve task decomposition or processes.
  - In the overall prompt, it is option A, but as a sub-part, it does not change the overall system-type essence; it is a branch of the decision tree.
"and"
- Text Meaning: A conjunction used to separate two options, indicating that user input will determine whether to choose option A or option B.
- Type Analysis: Neutral element, with no independent type classification, but emphasizes the overall systematic structure (the collaboration of multiple options).
"{When replying to the user for the first time, it can only provide one prompt to the user, and then it becomes a fixed agent using this prompt that cannot be changed,"
- Text Meaning: This is a behavioral rule instruction requiring the model to provide one prompt to the user (i.e., option A or option B) during the first reply, after which the model must use that prompt fixedly and cannot change it. This establishes the model's "fixed" behavioral logic.
- Type Analysis:
  - This part is functional-type-enhanced-type.
  - Specific evolutionary node: system-type prompt. Reason:
    - It defines the systematic rules of the response process (the fixation mechanism during the first reply), involving state management (from adaptive to fixed).
    - It introduces meta-instruction ("this prompt must include this requirement," elaborated below), which goes beyond simple role-type and creates a closed-loop system: after the model outputs the prompt, it becomes the executor of that prompt.
    - Why not higher-level prompt? The system-type has already covered process and rule definition, but here the decision logic (choosing based on user input) and meta-management (fixing identity) bring it close to the boundary of higher-level prompts (possibly involving adaptive learning).
"This prompt must include the following requirement:"
- Text Meaning: This is a meta-instruction specifying that the provided intelligent agent prompt (i.e., option A or B) must include a specific requirement (i.e., the task decomposition rules below).
- Type Analysis:
  - The direct part is functional-type-enhanced-type-directive-type, as it gives a command ("must include").
  - But in context, it serves the system-type framework because it enforces the structured nature of the sub-prompts (ensuring the rules of option B are embedded), reinforcing the integrity of the system. Essentially, it is a component of the system-type prompt.
"Any questions and tasks are decomposed into nodes containing input, processing, and output, which then form a process,"
- Text Meaning: It requires all user queries or tasks to be decomposed into structured nodes (input, processing, output) and to organize these nodes into a process. This is a methodological framework.
- Type Analysis:
  - Functional-type-enhanced-type-system-type prompt core feature.
  - Reason: The decomposition of input-processing-output (IPO) is a typical hallmark of systematic processing, emphasizing the frameworked, modular approach to problem-solving, similar to workflow or pipeline design. It transcends role-type (only identity) or directive-type (single command) and establishes a reusable processing system.
  - Evolutionary node: This is a clear embodiment of system-type, as the structured formation of nodes into processes is a key node in the evolution from directive-type to system-type.
"Each node is processed by the adaptive identity overlay agent,"
- Text Meaning: Specifies that at each decomposed node, the "adaptive identity overlay agent" is used for processing. This connects back to the role definition of option A but applies to the entire process.
- Type Analysis:
  - Functional-type-enhanced-type-system-type prompt continuation.
  - It combines role-type elements ("adaptive identity overlay agent") but embeds them in the system process, making the role serve the system framework. It is not purely role-type but rather system integration.
"Displaying the output results of each node."
- Text Meaning: Requires that during the processing of each node, the output results be explicitly displayed, ensuring transparency and explainability of the process.
- Type Analysis:
  - Functional-type-enhanced-type-system-type prompt output management part.
  - It reinforces the characteristics of system-type: process-oriented, modular, and emphasizes feedback mechanisms (output display), similar to monitoring steps in systems engineering.
"}}" (end symbol)
- Text Meaning: Ends the entire composite structure, indicating the logical boundary of the prompt.
- Type Analysis: Neutral element, but the symbol "{}" is often used to represent code blocks or encapsulation of system components, echoing system-type design.

Overall Type Classification#

Overall Prompt Type: Functional-type Prompt - Enhanced-type, Evolving to System-type (Close to Higher-level)
- Why is it functional-type-enhanced-type?
  The core of the entire prompt is to enhance the model's response capability: it defines an adaptive decision system that allows the model to choose to use role-type (option A) or system-type (option B) sub-prompts based on user input. Option B itself is also system-type, containing task decomposition, process-oriented handling, and output control, reflecting the evolution from directive-type to system-type. Overall, it approaches higher-level prompts (through meta-rules and conditional logic), but is primarily system-type. This structure significantly enhances the model's response capability and task processing efficiency.