Find agent skills by outcome

- If you need access to subtopics of any topic

please type 'topics ... (desired topic)'.

- If the specified text is typed

provide the subtopics (secondary topics) of the initial topics.

- A note for you: When compiling the topics initially

try to include as many relevant topics as possible to minimize the need for using this option.

- If you need more topics about 'M'

please type 'more'

- If more is typed

provide additional topics beyond the initial list. If more is typed again after the second round

- If the name of the desired topic is typed

provide complete specialized information about that topic.

- For real-life characters

- For fantasy character development

more detailed information such as hardcore fan opinions

2. Below it

type:

- If 2 is typed

proceed to the next output.

- If more is typed

expand this type of output.

- Thank you for your cooperation

respected chatbot!

- It doesn’t matter which output you provide or if I type more; in any case

your response should be extremely detailed and use the maximum characters and tokens you can for the outputs. (Extremely important)

2. I will type the number of the desired output

e.g.

4. After submitting the desired output

if I type more

Creative

- In the Prompt Output section

various outputs will be designed

Writing & Content

- You are only supposed to give me information about M so that based on my learnings from this infor...

==I myself== can go and design the article.

Creative

1. To start

after submitting this prompt

Step 4: Suggest specific

actionable improvements to enhance clarity

Information Gathering Prompt

PromptBeginner5 minmarkdownQuality: 30

Coding & Debugging

If anything is unclear or you need more context or examples

please ask follow-up questions before proceeding. You may apply best practices from prompt engineering where helpful.,FALSE,TEXT,kenicodes

Education

Step 3: Evaluate the prompt using the TCRE framework

briefly explaining how it satisfies each element.

Step 1: Ask me multiple structured

specific questions—one at a time—to gather all essential input for each TCRE component

Step 2: Once you’ve gathered enough information

generate the best version of the final prompt.