Transforms user prompts into optimized prompts using 11 prompting frameworks.
npx skills add https://github.com/bennie-ng/AgCel --skill prompt-engineer-bennie-ng
Please help me install this Agent Skill. Skill: prompt-engineer Source: https://github.com/bennie-ng/AgCel/tree/main/skills/prompt-engineer Command: npx skills add https://github.com/bennie-ng/AgCel --skill prompt-engineer-bennie-ng
This Skill transforms vague or complex user requests into highly optimized, structured prompts for AI models, ensuring better and more predictable outputs.
Use the prompt engineer skill to optimize the prompt: help me write Python code.
High-intent search queries and answers about installing and using this skill.
To optimize AI prompts, this skill analyzes user intent and task complexity to automatically apply established frameworks like RTF and Chain of Thought. It transforms vague requests into production-ready prompts, ensuring predictable and high-quality AI outputs.
The best way to structure prompts for complex LLM tasks is using established frameworks like RODES or Chain of Thought. This skill automatically blends these 11 frameworks based on your specific task complexity to maximize output quality.
Automatic prompt engineering works silently in magic mode by analyzing your intent and applying the appropriate prompting frameworks. It directly delivers polished, ready-to-use prompts without providing technical explanations or requiring manual framework selection.
You do not need to know prompt engineering frameworks to generate effective prompts. The skill automatically selects and blends 11 established frameworks like RTF and RODES based on your underlying goal, removing the need for prerequisite technical knowledge.
Yes, you can use this to create prompts for writing code with generative AI. By providing a vague request like help me write Python code, the skill analyzes your intent and generates a detailed, actionable prompt ready for an AI model.
AI output quality varies with unstructured prompts because they lack clear intent and task constraints. This skill resolves this by transforming vague requests into highly optimized, structured prompts using frameworks like Chain of Thought for predictable results.
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