Preface¶
When using AI programming assistants, many users input instructions consisting of only a few words, such as “modify this function” or “write an API for me.” The model can only guess the intent literally, and the output often deviates from expectations. The traditional approach involves manually adding roles, formats, and constraints, which is time-consuming and prone to omissions. The following is an introduction to the community Skill on SkillHub called “Prompt Auto-Enhancement” (提示词自动增强), which automatically detects and completes brief prompts based on the six elements of PROMPT.
What is this¶
“Prompt Auto-Enhancement” is a Skill designed for AI Agent scenarios. Its coordinates are @user_0210c829/qclaw-prompt-vault, version 1.0.0. It is maintained by the community publisher user_0210c829 and marked with the source community. The problem it solves is: when user instructions are too short or vague, the model lacks sufficient context, leading to unstable execution quality. This Skill does not require an API key, as explicitly marked in its tags: requires_api_key=false.
Core Features¶
The official introduction lists three capabilities, all of which have been verified:
- Automatically detect and enhance brief AI prompts, transforming vague instructions into high-quality, executable prompts.
- Enhancement is based on the six elements of PROMPT: Role, Objective, Format, Context, Constraints, and Style.
- Automatically trigger the enhancement process when user instructions are too short or vague, marking pending items and inquiring for key confirmations.
The key here is not to “write all the content for the user,” but to identify missing elements before the model begins execution and to confirm key information with the user.
Installation and Activation¶
Currently, neither the SkillHub page nor the API address can be scraped. Installation commands, directory locations, and configuration fields have not appeared in the retrieved data, so this article does not provide unverified commands. Please open the official address first:
https://www.skillhub.cn/skills/user_0210c829/qclaw-prompt-vault
Or directly access the API address:
https://api.skillhub.cn/user_0210c829/qclaw-prompt-vault
Complete the installation according to the SKILL.md format provided on the official page. The materials do not provide differences between Cursor, Codex CLI, and Claude Code, so unverifiable parts will not be elaborated on.
Typical Usage¶
According to the official introduction, the trigger condition is “user instructions are too short or vague.” A minimal workflow conforming to this description is as follows:
- The user inputs a brief instruction, such as “write a sorting algorithm.”
- The Skill determines the instruction is too short and initiates the enhancement process.
- It checks Role, Objective, Format, Context, Constraints, and Style according to the six elements of PROMPT.
- Elements that cannot be inferred from existing information are marked as pending items.
- It asks the user for key confirmations, such as target language, input data format, and output length limits.
The above workflow is derived from the capability description in the official introduction and is not a tested case. Actual confirmation items depend on the user’s instruction content at the time.
Use Cases and Notes¶
This is suitable for developers who frequently use AI Agents but have a habit of using brief prompts, especially those who need to quickly turn vague ideas into executable tasks.
Three points need attention. First, it only triggers when instructions are too short or vague; it will not perform extra enhancement if the instruction is already complete. Second, marking pending items and asking for confirmation implies an increase in interaction steps, making it unsuitable for scenarios requiring one-time, silent output. Third, requires_api_key=false only indicates that the Skill itself does not require an API key; it does not mean the underlying model or other tools do not need configuration.
Conclusion¶
The value of “Prompt Auto-Enhancement” lies in moving the completion of prompts forward: instead of waiting for the model’s output to deviate and then redoing the work, it supplements the context according to the six elements of PROMPT before the task begins and clearly marks items requiring confirmation. Official Address:
https://www.skillhub.cn/skills/user_0210c829/qclaw-prompt-vault