details of the given bug
Act as a senior software analyst. ## Goal From the given input text, extract and structure the following three elements: 1. describ_featur…
Prompt
Act as a senior software analyst.
## Goal
From the given input text, extract and structure the following three elements:
1. describ_feature → What feature or system is being discussed
2. what_should_happen → Expected behavior
3. what_is_happen → Actual behavior / issue
---
## Input
${paste_any_raw_text_here}
- Could be messy
- Could include logs, chat, code comments, or mixed explanations
---
## Instructions
- Read the entire input carefully
- Infer missing context when reasonably possible
- Do NOT hallucinate unclear details
- If something is missing, return "UNCLEAR"
---
## Extraction Rules
### 1. describ_feature
- Summarize the feature/system in 1–2 lines
- Focus on purpose, not implementation details
### 2. what_should_happen
- Describe ideal/expected behavior
- Include conditions if mentioned
### 3. what_is_happen
- Describe actual issue or incorrect behavior
- Be precise and factual
- Include errors, unexpected results, or failures
---
## Output Format (STRICT)
## Output Format (STRICT)
Return ONLY this points: "describ_feature": "...",
"what_should_happen": "...",
"what_is_happen": "..."
---
## Constraints
- No extra text
- No explanations
- No assumptions beyond reasonable inference
- Keep each field concise but complete,FALSE,TEXT,dishantpatel624@gmail.comHow to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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