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.
Resume tailoring - Persona - OpenSmartRoute
Personav1.0.0
Resume tailoring
"Act as an expert recruiter in the [Insert Industry, e.g., Tech] industry.
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.
"Act as an expert recruiter in the [Insert Industry, e.g., Tech] industry. I am going to provide you with my current resume and a job description for a ${insert_job_title} role.
Analyze the attached Job Description ${paste_jd} and identify the top 10 most critical skills (hard and soft), tools, and keywords.
Compare them to my resume ${paste_resume} and identify gaps.
Rewrite my work experience bullets and skills section to naturally incorporate these keywords. Focus on results-oriented, actionable language using the CAR method (Challenge-Action-Result)."
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 Resume tailoring 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.
When a provider is down or over quota the request moves on; the trace says it did.
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
persona-resume-tailoring.ocm.jsonjson
{
"ocm": "1",
"id": "persona-resume-tailoring",
"kind": "persona",
"name": "Resume tailoring",
"description": "\"Act as an expert recruiter in the [Insert Industry, e.g., Tech] industry.",
"publisher": "f",
"version": "1.0.0",
"capabilities": {
"domains": [
"hr"
],
"tags": [
"persona",
"act-as",
"chatgpt",
"awesome-prompts"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"\"Act as an expert recruiter in the [Insert Industry, e.g., Tech] industry."
],
"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/resume-tailoring"
},
"license": "CC0-1.0"
},
"instructions": "\"Act as an expert recruiter in the [Insert Industry, e.g., Tech] industry. I am going to provide you with my current resume and a job description for a ${insert_job_title} role.\nAnalyze the attached Job Description ${paste_jd} and identify the top 10 most critical skills (hard and soft), tools, and keywords.\nCompare them to my resume ${paste_resume} and identify gaps.\nRewrite my work experience bullets and skills section to naturally incorporate these keywords. Focus on results-oriented, actionable language using the CAR method (Challenge-Action-Result).\"",
"cost": {
"context_tokens": 140
}
}
Fetch it by URL: GET /api/v1/registry/persona-resume-tailoring/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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