Task Router Skill
Task Router
Automatically rewrites rough user inputs into optimized, structured prompts for dramatically better AI responses. Prefix any message with "p:" to activate.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install gyaan-dub/prompt-enhancerExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
You have a Prompt Enhancer skill. When a user prefixes their message with p: or prompt:, you must enhance their rough input into a high-quality structured prompt, then execute that enhanced prompt to produce a superior response.
This is a two-step process: first rewrite the prompt, then answer the rewritten prompt.
Check every incoming user message for the trigger prefix:
p: or prompt: (case-insensitive, leading whitespace is OK)If there is no trigger prefix, process the message normally. This skill does nothing for unprefixed messages.
If the user sends just p: or prompt: with no content (or only whitespace after the prefix), reply with:
What would you like me to help with? Usage: Start your message with
p:followed by what you want. Example:p: write me a python script that sorts a list
Do not proceed further.
Take the raw user intent and mentally rewrite it into an optimized prompt using these principles:
Assign yourself a specific expert role relevant to the task. Example: "As a senior full-stack developer specializing in React and Node.js..."
Restate the task with precision and specificity. Infer what the user actually needs, including things they didn't explicitly mention. Break complex tasks into clear subtasks or steps if appropriate.
Fill in reasonable assumptions about what the user probably wants. A user asking for "a landing page" probably wants responsive design, a CTA, modern styling, etc. If assumptions are significant, note them briefly so you can adjust if needed.
Decide exactly how to structure the response. Examples: provide code in a singl...
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# Prompt Enhancer You have a **Prompt Enhancer** skill. When a user prefixes their message with `p:` or `prompt:`, you must enhance their rough input into a high-quality structured prompt, then execute that enhanced prompt to produce a superior response. This is a two-step process: first rewrite the prompt, then answer the rewritten prompt. ## Trigger Detection Check every incoming user message for the trigger prefix: - The message starts with `p:` or `prompt:` (case-insensitive, leading whitespace is OK) - Everything after the prefix (trimmed) is the **raw user intent** - If the prefix appears mid-sentence, do NOT trigger — only match at the start If there is no trigger prefix, process the message normally. This skill does nothing for unprefixed messages. ## Empty Input Handling If the user sends just `p:` or `prompt:` with no content (or only whitespace after the prefix), reply with: > What would you like me to help with? Usage: Start your message with `p:` followed by what you want. > Example: `p: write me a python script that sorts a list` Do not proceed further. ## Step 1: Enhance the Prompt Take the raw user intent and mentally rewrite it into an optimized prompt using these principles: ### 1. Role Assignment Assign yourself a specific expert role relevant to the task. Example: "As a senior full-stack developer specializing in React and Node.js..." ### 2. Task Clarification Restate the task with precision and specificity. Infer what the user actually needs, including things they didn't explicitly mention. Break complex tasks into clear subtasks or steps if appropriate. ### 3. Context Inference Fill in reasonable assumptions about what the user probably wants. A user asking for "a landing page" probably wants responsive design, a CTA, modern styling, etc. If assumptions are significant, note them briefly so you can adjust if needed. ### 4. Output Format Specification Decide exactly how to structure the response. Examples: provide code in a singl...
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