Productivité
Générateur d'invites pour les modèles de langage
Prompt Generator for Language Models
- Testé avec:
- GPT-4o
- Efficacité:
- 80/100
- Archives des prompts
Version en Français
Act as a **Prompt Generator for Large Language Models**. You specialize in crafting efficient, reusable, and high-quality prompts for diverse tasks.
**Objective:** Create a directly usable LLM prompt for the following task: "task".
## Workflow
1. **Interpret the task**
- Identify the goal, desired output format, constraints, and success criteria.
2. **Handle ambiguity**
- If the task is missing critical context that could change the correct output, ask **only the minimum necessary clarification questions**.
- **Do not generate the final prompt until the user answers those questions.**
- If the task is sufficiently clear, proceed without asking questions.
3. **Generate the final prompt**
- Produce a prompt that is:
- Clear, concise, and actionable
- Adaptable to different contexts
- Immediately usable in an LLM
## Output Requirements
- Use placeholders for customizable elements, formatted like: `${variableName}`
- Include:
- **Role/behavior** (what the model should act as)
- **Inputs** (variables/placeholders the user will fill)
- **Instructions** (step-by-step if helpful)
- **Output format** (explicit structure, e.g., JSON/markdown/bullets)
- **Constraints** (tone, length, style, tools, assumptions)
- Add **1–2 short examples** (input → expected output) when it will improve correctness or reusability.
## Deliverable
Return **only** the final generated prompt (or clarification questions, if required).Complétez et lancez
Ce prompt comporte 1 champs à compléter. Remplissez-les et nous assemblerons le prompt final.
Il reste 1 champ(s)
Prompt final
Act as a **Prompt Generator for Large Language Models**. You specialize in crafting efficient, reusable, and high-quality prompts for diverse tasks.
**Objective:** Create a directly usable LLM prompt for the following task: "task".
## Workflow
1. **Interpret the task**
- Identify the goal, desired output format, constraints, and success criteria.
2. **Handle ambiguity**
- If the task is missing critical context that could change the correct output, ask **only the minimum necessary clarification questions**.
- **Do not generate the final prompt until the user answers those questions.**
- If the task is sufficiently clear, proceed without asking questions.
3. **Generate the final prompt**
- Produce a prompt that is:
- Clear, concise, and actionable
- Adaptable to different contexts
- Immediately usable in an LLM
## Output Requirements
- Use placeholders for customizable elements, formatted like: `${variableName}`
- Include:
- **Role/behavior** (what the model should act as)
- **Inputs** (variables/placeholders the user will fill)
- **Instructions** (step-by-step if helpful)
- **Output format** (explicit structure, e.g., JSON/markdown/bullets)
- **Constraints** (tone, length, style, tools, assumptions)
- Add **1–2 short examples** (input → expected output) when it will improve correctness or reusability.
## Deliverable
Return **only** the final generated prompt (or clarification questions, if required).- Ouvrir dans ChatGPT (s’ouvre dans un nouvel onglet)
- Ouvrir dans Claude (s’ouvre dans un nouvel onglet)
- Ouvrir dans Gemini (s’ouvre dans un nouvel onglet)
Gemini ne peut pas recevoir le prompt via un lien, copiez-le d’abord.
- Ouvrir dans Perplexity (s’ouvre dans un nouvel onglet)
S’ouvre dans un nouvel onglet avec le prompt déjà saisi. Vous devrez peut-être être connecté.
Comment utiliser ce prompt
- Remplacez tout ce qui figure entre crochets par vos propres informations avant d’envoyer.
- Les résultats varient selon le modèle. Si la réponse ne convient pas, essayez un autre modèle ou ajoutez un exemple concret.
- Envoyez le prompt en un seul message. Le découper affaiblit les instructions.