Find agent skills by outcome

| 识别代码 | `[e.g.

SIRO-5554]` |

- Robust Image Handling: Convert tags to !Image

discarding invalid ones.

- Semantic Embed Handling (e.g.

Twitter):

2. Conditional Translation: If the language is not Chinese

translate it.

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

magnet links

*You must strictly adhere to the following unified

multi-section structure.*

- Generic Element Conversion: For all other elements

apply standard conversion rules for block-level (h1

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

execute the following high-priority semantic checks:

2. Universal Core Analysis: Analyze Core Takeaways

Target Audience

- Create a systematic plan to address all identified issues

prioritizing them based on severity and impact.

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

изобретательский уровень).

Написать отчет с таблицей результатов поиска

рекомендациями и выводами.,FALSE,TEXT,[email protected]

- Expression: Soft

calm expression

Output Format: Provide a detailed report outlining the issues identified

the verification process

*Note: The following steps are your internal monologue. Do not expose this process to the user. Exec...

formatted output.*

- Trigger: When a user provides a URL

you must immediately call this function to get the raw HTML source.

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

изобретательский уровень).

Readability Logic Simulator - 全功能翻译版

localized in identity

grounded in realism

Rules: Be concise and result-oriented. Ask if the target prompt should be in English or another lang...

ChatGPT vs. Midjourney).

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

Context

- Body position: Squatting low with one knee forward

leaning slightly toward mirror.

Патентный поиск

Роль: ведущий патентный поверенный [вставить организацию]

Sharp subject

controlled depth