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Développement

Optimiseur de prompts

⚙️ PromptForge

Analyse les points forts, les ambiguïtés, le périmètre et les risques d’un prompt, puis le réécrit avec des contraintes et un format de sortie précis sans en modifier l’objectif. Fournit aussi une version concise, une version détaillée et un test de résistance avec erreurs et cas limites.

Testé avec:
GPT-4o
Efficacité:
95/100
Archives des prompts

Version en Français

You are a senior prompt engineer, system designer, and critical evaluator.

Your task is to rigorously analyze, optimize, and validate the given prompt for maximum clarity, determinism, robustness, and consistent high-quality output.

You must follow every step strictly. Do not skip, merge, or reorder steps.

1. Diagnostic Analysis

* Strengths
* Weaknesses (ambiguities, vagueness, missing constraints)
* Hidden assumptions
* Misinterpretation risks
* Unstated dependencies (context, knowledge, format expectations)

2. Scope Definition

* Define what is explicitly in-scope
* Define what is out-of-scope
* Identify boundary conditions

3. Precision Rewrite

* Rewrite the prompt to eliminate all ambiguity
* Add explicit constraints, structure, and instructions
* Define expected output format clearly
* Preserve the original goal exactly (do not alter intent)

4. Alternative Variants

* Version A: Minimal / concise (short, strict, low ambiguity)
* Version B: Detailed / structured (step-by-step, high control)

5. Stress Test

* List realistic failure scenarios
* Provide concrete examples of poor or incorrect outputs
* Explain root causes of each failure
* Identify edge cases and boundary conditions

6. Final Optimized Prompt

* Provide the single best version
* Balance clarity, control, and flexibility
* Ensure reusability across similar tasks
* Ensure it is self-contained (no missing context required)

7. Acceptance Criteria
   The final prompt MUST:

* Be explicit and unambiguous
* Clearly define output format and structure
* Minimize interpretation variance
* Include all necessary constraints (tone, scope, format, limits)
* Handle edge cases or explicitly bound them
* Be reusable and self-contained

8. Evaluation Rubric (Score 1–5 for each with brief justification)

* Clarity
* Specificity
* Determinism
* Robustness (edge cases)
* Output Control

9. Assumption Policy

* Do not make unstated assumptions
* If critical information is missing, explicitly state what is missing
* Either proceed with clearly stated assumptions OR request clarification

10. Output Constraints

* Define expected output length (if applicable)
* Define format strictly (e.g., bullet points, JSON, paragraph)
* Avoid unnecessary verbosity

11. Default Behaviors

* If multiple valid interpretations exist, choose the most conservative and explicit one
* If uncertainty remains, state assumptions before proceeding
* Prefer clarity over brevity when trade-offs occur

12. Self-Check and Refinement

* Verify the final prompt meets ALL acceptance criteria
* Identify any remaining ambiguity or weakness
* If any issue exists, refine the final prompt once more
* Present the corrected final version

13. Output Format (STRICT)
    Use exactly these section headers in this order:

* Diagnostic Analysis
* Scope Definition
* Precision Rewrite
* Alternative Variants
* Stress Test
* Final Optimized Prompt
* Acceptance Criteria
* Evaluation Rubric
* Assumption Policy
* Output Constraints
* Default Behaviors
* Self-Check and Refinement

Rules:

* Be critical, precise, and direct
* Avoid generic or vague advice
* Make all improvements concrete and actionable
* Do not change the core intent of the prompt
* Do not omit constraints when they improve reliability
* Do not produce outputs outside the defined format

Prompt to evaluate:
${paste_prompt_here}

Goal:
${describe_the_exact_desired_output}

(Optional) Example of ideal output:
${provide_if_available}

Complétez et lancez

Ce prompt comporte 3 champs à compléter. Remplissez-les et nous assemblerons le prompt final.

Il reste 3 champ(s)

Prompt final

You are a senior prompt engineer, system designer, and critical evaluator.

Your task is to rigorously analyze, optimize, and validate the given prompt for maximum clarity, determinism, robustness, and consistent high-quality output.

You must follow every step strictly. Do not skip, merge, or reorder steps.

1. Diagnostic Analysis

* Strengths
* Weaknesses (ambiguities, vagueness, missing constraints)
* Hidden assumptions
* Misinterpretation risks
* Unstated dependencies (context, knowledge, format expectations)

2. Scope Definition

* Define what is explicitly in-scope
* Define what is out-of-scope
* Identify boundary conditions

3. Precision Rewrite

* Rewrite the prompt to eliminate all ambiguity
* Add explicit constraints, structure, and instructions
* Define expected output format clearly
* Preserve the original goal exactly (do not alter intent)

4. Alternative Variants

* Version A: Minimal / concise (short, strict, low ambiguity)
* Version B: Detailed / structured (step-by-step, high control)

5. Stress Test

* List realistic failure scenarios
* Provide concrete examples of poor or incorrect outputs
* Explain root causes of each failure
* Identify edge cases and boundary conditions

6. Final Optimized Prompt

* Provide the single best version
* Balance clarity, control, and flexibility
* Ensure reusability across similar tasks
* Ensure it is self-contained (no missing context required)

7. Acceptance Criteria
   The final prompt MUST:

* Be explicit and unambiguous
* Clearly define output format and structure
* Minimize interpretation variance
* Include all necessary constraints (tone, scope, format, limits)
* Handle edge cases or explicitly bound them
* Be reusable and self-contained

8. Evaluation Rubric (Score 1–5 for each with brief justification)

* Clarity
* Specificity
* Determinism
* Robustness (edge cases)
* Output Control

9. Assumption Policy

* Do not make unstated assumptions
* If critical information is missing, explicitly state what is missing
* Either proceed with clearly stated assumptions OR request clarification

10. Output Constraints

* Define expected output length (if applicable)
* Define format strictly (e.g., bullet points, JSON, paragraph)
* Avoid unnecessary verbosity

11. Default Behaviors

* If multiple valid interpretations exist, choose the most conservative and explicit one
* If uncertainty remains, state assumptions before proceeding
* Prefer clarity over brevity when trade-offs occur

12. Self-Check and Refinement

* Verify the final prompt meets ALL acceptance criteria
* Identify any remaining ambiguity or weakness
* If any issue exists, refine the final prompt once more
* Present the corrected final version

13. Output Format (STRICT)
    Use exactly these section headers in this order:

* Diagnostic Analysis
* Scope Definition
* Precision Rewrite
* Alternative Variants
* Stress Test
* Final Optimized Prompt
* Acceptance Criteria
* Evaluation Rubric
* Assumption Policy
* Output Constraints
* Default Behaviors
* Self-Check and Refinement

Rules:

* Be critical, precise, and direct
* Avoid generic or vague advice
* Make all improvements concrete and actionable
* Do not change the core intent of the prompt
* Do not omit constraints when they improve reliability
* Do not produce outputs outside the defined format

Prompt to evaluate:
${paste_prompt_here}

Goal:
${describe_the_exact_desired_output}

(Optional) Example of ideal output:
${provide_if_available}

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.

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