Structure a complex LLM task with XML tags
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Paste into a general LLM and structure a complex LLM task with XML tags for context, constraints, and output format
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<instructions> Do the task specified in <task>. Follow <constraints>. Use <context>. Return output in <output_format>. </instructions> <task> <<<what you want done>>> </task> <context> <<<background docs, audience, examples>>> </context> <constraints> - <<<tone, length, must/must-not>>> </constraints> <output_format> <<<bullets / markdown / JSON schema>>> </output_format>
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| Field | What it is |
|---|---|
jobId | This use case. Review queue uses useCaseTitle + email instead. |
summary | Method description. Shown on the card. Also accepts title. |
products | Optional. Array of { name, url }. Legacy: tools. |
prompts | Optional. Array of prompt strings. Legacy: one prompt string. |
skills | Optional. Array of { text, url }. Legacy: skill + skillUrl. |
authorName | Author name. Legacy live field: postedBy. |
author | Optional 𝕏 handle. Legacy live field: creditHandle. |
parts | Optional. Inferred from products, prompts, and skills if omitted.standalone-product, ai-agent, ai-tool, skill, prompt. Do not send a prompt/product/agent/skill radio. |
{
"jobId": "xml-structure-prompt-template",
"summary": "Turns a Zoom recording into notes and action items with owners",
"products": [
{
"name": "Claude",
"url": "https://claude.ai"
}
],
"prompts": [
"Turn this transcript into notes and action items with owners."
],
"skills": [
{
"text": "Watch a folder. When a transcript lands, write notes with owners.",
"url": "https://example.com/zoom-notes.md"
}
],
"authorName": "Alex Rivera",
"author": "@handle"
}