Turns rough requests into sharp Role/Task/Context/Format prompts. Thai and English.
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Compose a ready-to-use prompt from explicit Role, Task, Context, and Format parts. Use when the user already knows the pieces and wants them woven into one clean prompt.
Who the AI should be
What the AI should do
How the answer should be shaped
Background the AI needs
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Compose a ready-to-use prompt from explicit Role, Task, Context, and Format parts. Use when the user already knows the pieces and wants them woven into one clean prompt.
| Argument | Type | Description |
|---|---|---|
| role* | string | Who the AI should be |
| task* | string | What the AI should do |
| format | string | How the answer should be shaped |
| context | string | Background the AI needs |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"role",
"task"
],
"properties": {
"role": {
"type": "string",
"maxLength": 2000,
"description": "Who the AI should be"
},
"task": {
"type": "string",
"maxLength": 4000,
"minLength": 1,
"description": "What the AI should do"
},
"format": {
"type": "string",
"maxLength": 2000,
"description": "How the answer should be shaped"
},
"context": {
"type": "string",
"maxLength": 4000,
"description": "Background the AI needs"
}
},
"additionalProperties": false
}Write the user's NEXT message for an AI conversation that is already in progress (a follow-up). Use when the user wants to refine, deepen, or continue earlier work in this conversation. Do NOT use it for a brand-new task (use improve_prompt for that). Returns a short, ready-to-send continuation message that anchors to the existing work instead of restarting it. Requires an API key (add ?key=rk_live_... to the connector URL).
| Argument | Type | Description |
|---|---|---|
| next_request* | string | What the user wants next, or where they are stuck, in their own words |
| original_goal | string | The original goal or starter prompt of the conversation, if known |
| conversation_summary | string | 2-6 sentences summarizing what the AI last produced and any key decisions so far (you can see the conversation; the tool cannot) |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"next_request"
],
"properties": {
"next_request": {
"type": "string",
"maxLength": 8000,
"minLength": 1,
"description": "What the user wants next, or where they are stuck, in their own words"
},
"original_goal": {
"type": "string",
"maxLength": 8000,
"description": "The original goal or starter prompt of the conversation, if known"
},
"conversation_summary": {
"type": "string",
"maxLength": 20000,
"description": "2-6 sentences summarizing what the AI last produced and any key decisions so far (you can see the conversation; the tool cannot)"
}
},
"additionalProperties": false
}Rewrite a rough prompt into a sharper, ready-to-use prompt structured as Role, Task, Context, Format (RTCF). Returns the improved prompt, its four parts, a short list of clarifying questions worth asking the user, and which model tier and effort level suit this kind of work. Use this before answering when the user's request is vague, or when the user asks to improve a prompt.
| Argument | Type | Description |
|---|---|---|
| prompt* | string | The rough prompt or request to restructure |
| target | string | Which AI family will actually run the improved prompt ("claude" or "gpt"). Pass your own family so the wording is shaped for it and the model recommendation is concrete. Omit for a provider-neutral prompt. |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"prompt"
],
"properties": {
"prompt": {
"type": "string",
"maxLength": 8000,
"minLength": 1,
"description": "The rough prompt or request to restructure"
},
"target": {
"enum": [
"generic",
"claude",
"gpt"
],
"type": "string",
"description": "Which AI family will actually run the improved prompt (\"claude\" or \"gpt\"). Pass your own family so the wording is shaped for it and the model recommendation is concrete. Omit for a provider-neutral prompt."
}
},
"additionalProperties": false
}