Answers from the documentation; checking which model is on duty
Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
The curriculum mapping prompt. - Persona - OpenSmartRoute
Personav1.0.0
The curriculum mapping prompt.
Prompt: "Task: Based exclusively on the uploaded materials, engineer a comprehensive [Insert Number]-week curriculum map.
Role from Awesome ChatGPT Prompts (prompts.csv, CC0-1.0). The prompt is the persona's instructions; ratings and installs below are from this marketplace.
Prompt:
"Task: Based exclusively on the uploaded materials, engineer a comprehensive [Insert Number]-week curriculum map.
Constraints: Structure the learning journey using Bloom's Taxonomy, moving learners from basic recall to complex creation.
Output Format: For each week, provide:
A) The core competency to be mastered.
B) The specific source document that introduces the concept (include exact citations).
C) The source that deepens or challenges it.
D) A real-world application or business scenario where this theory must be applied. Ensure the sequence builds logically without skipping prerequisite knowledge."
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - a plan picks it for its slotcurl-s-X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
Installed into a catalogue, chosen by a router
Install The curriculum mapping prompt. and it becomes one more candidate the router can pick - when it fits.
A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.
{
"ocm": "1",
"id": "persona-the-curriculum-mapping-prompt",
"kind": "persona",
"name": "The curriculum mapping prompt.",
"description": "Prompt: \"Task: Based exclusively on the uploaded materials, engineer a comprehensive [Insert Number]-week curriculum map.",
"publisher": "f",
"version": "1.0.0",
"capabilities": {
"domains": [
"education"
],
"tags": [
"persona",
"act-as",
"chatgpt",
"awesome-prompts"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Prompt: \"Task: Based exclusively on the uploaded materials, engineer a comprehensive [Insert Number]-week curriculum map."
],
"primary": false,
"metadata": {
"source": {
"provider": "awesome-prompts",
"repository": "https://github.com/f/awesome-chatgpt-prompts",
"path": "prompts.csv",
"ref": "main",
"url": "https://github.com/f/awesome-chatgpt-prompts/blob/main/prompts.csv",
"key": "f/awesome-chatgpt-prompts/the-curriculum-mapping-prompt"
},
"license": "CC0-1.0"
},
"instructions": "Prompt:\n\"Task: Based exclusively on the uploaded materials, engineer a comprehensive [Insert Number]-week curriculum map. \nConstraints: Structure the learning journey using Bloom's Taxonomy, moving learners from basic recall to complex creation. \nOutput Format: For each week, provide: \nA) The core competency to be mastered. \nB) The specific source document that introduces the concept (include exact citations). \nC) The source that deepens or challenges it. \nD) A real-world application or business scenario where this theory must be applied. Ensure the sequence builds logically without skipping ",
"cost": {
"context_tokens": 156
}
}
Fetch it by URL: GET /api/v1/registry/persona-the-curriculum-mapping-prompt/manifest?version=1.0.0
Reviews
Star ratings from people who tried it. One review per account; edit yours any time.
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