A modern apartment in Montenegro with a panoramic sea view. A bright, spacious living room with a calm, elegant interior. A mother and her son are sitting on the sofa, a blanket and soft cushions near...

Jan 18, 2026

General

PromptBeginner5 minmarkdown

localized in identity

grounded in realism

Jan 18, 2026

Find agent skills by outcome

3. **Conditional Metadata Enrichment:** If `Media/Video`

2. **Universal Core Analysis:** Analyze Core Takeaways

| **目标受众** | [e.g.

*You must strictly adhere to the following unified

- **Generic Element Conversion:** For all other elements

2. **Conditional Translation:** If the language is not Chinese

4. **Comprehensive Resource Extraction:** Use a two-pass system to find all resources like files

- Create a systematic plan to address all identified issues

- **Semantic Embed Handling (e.g.

*Note: The following steps are your internal monologue. Do not expose this process to the user. Execute these steps silently and present only the final

- **Trigger:** When a user provides a URL

2. **Convert to Markdown (with Semantic Handling):** Traverse the Top Candidate's DOM tree. Before applying generic conversion rules

Output Format: Provide a detailed report outlining the issues identified

Readability Logic Simulator - 全功能翻译版

Написать отчет с таблицей результатов поиска

2. Design: Construct the prompt using these components: Persona

Rules: Be concise and result-oriented. Ask if the target prompt should be in English or another language. Tailor the structure to the specific AI model (e.g.

To start

- Body position: Squatting low with one knee forward

- Expression: Soft

Патентный поиск

Задача: провести патентный и информационный поиск. Провести анализ патентоспособности нового решения (новизна

Недвижимость

localized in identity

3. Conditional Metadata Enrichment: If `Media/Video`

2. Universal Core Analysis: Analyze Core Takeaways

| 目标受众 | [e.g.

- Generic Element Conversion: For all other elements

2. Conditional Translation: If the language is not Chinese

4. Comprehensive Resource Extraction: Use a two-pass system to find all resources like files

- Trigger: When a user provides a URL

2. Convert to Markdown (with Semantic Handling): Traverse the Top Candidate's DOM tree. Before applying generic conversion rules