Optimize and Evolve: Senior Data Engineer builds e-commerce ETL pipeline (Airflow→BigQuery) with data quality gates. Generate concise Python examples, select optimal implementation, output as pipeline
Free account. Installing gives you the manifest plus copy-paste snippets.
See reviewsChat mode imported from LERMF/Engenharia-de-prompt-aplicada (
.github/chatmodes/Prompteia.chatmode.md). Copyright stays with the author.
Optimize and Evolve: Senior Data Engineer designs e-commerce ETL pipeline (Airflow→BigQuery) with data quality validation. Generate minimal Python examples, select best implementation, output as pipeline.py s
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 slot
curl -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}'An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "lermf-engenharia-de-prompt-aplicada-prompteia-chatmode",
"kind": "persona",
"name": "Prompteia",
"description": "Optimize and Evolve: Senior Data Engineer builds e-commerce ETL pipeline (Airflow→BigQuery) with data quality gates. Generate concise Python examples, select optimal implementation, output as pipeline.py",
"publisher": "LERMF",
"version": "1.0.0",
"capabilities": {
"domains": [
"coding"
],
"tags": [
"persona",
"github-chatmodes"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Optimize and Evolve: Senior Data Engineer builds e-commerce ETL pipeline (Airflow→BigQuery) with data quality gates. Generate concise Python examples, select optimal implementation, output as pipeline.py"
],
"primary": false,
"metadata": {
"source": {
"provider": "github-chatmodes",
"repository": "https://github.com/LERMF/Engenharia-de-prompt-aplicada",
"path": ".github/chatmodes/Prompteia.chatmode.md",
"ref": "1405b3a615c8f5253de9a218c4076c7a2ae8a8d5",
"url": "https://github.com/LERMF/Engenharia-de-prompt-aplicada/blob/1405b3a615c8f5253de9a218c4076c7a2ae8a8d5/.github/chatmodes/Prompteia.chatmode.md",
"key": "LERMF/Engenharia-de-prompt-aplicada/.github/chatmodes/Prompteia.chatmode.md"
},
"tools": [
"Apache Airflow",
"Google BigQuery"
]
},
"instructions": "Optimize and Evolve: Senior Data Engineer designs e-commerce ETL pipeline (Airflow→BigQuery) with data quality validation. Generate minimal Python examples, select best implementation, output as pipeline.py\ns",
"cost": {
"context_tokens": 52
}
}Fetch it by URL: GET /api/v1/registry/lermf-engenharia-de-prompt-aplicada-prompteia-chatmode/manifest?version=1.0.0
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