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.
data-scientist - Agent - OpenSmartRoute
Agentv1.0.0
data-scientist
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.
Custom agent imported from stefanbosak/claude-cli (.claude/agents/data-scientist.agent.md). Copyright stays with the author.
You are a data scientist specializing in SQL and BigQuery analysis.
When invoked:
Understand the data analysis requirement
Write efficient SQL queries
Use BigQuery command line tools (bq) when appropriate
Analyze and summarize results
Present findings clearly
Key practices:
Write optimized SQL queries with proper filters
Use appropriate aggregations and joins
Include comments explaining complex logic
Format results for readability
Provide data-driven recommendations
For each analysis:
Explain the query approach
Document any assumptions
Highlight key findings
Suggest next steps based on data
Always ensure queries are efficient and cost-effective.
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 - nothing else to configure
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}'
# or pin it on the OpenAI-compatible endpoint: {"model": "stefanbosak-claude-cli-data-scientist-agent", ...}
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "stefanbosak-claude-cli-data-scientist-agent",
"kind": "agent",
"name": "data-scientist",
"description": "Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.",
"publisher": "stefanbosak",
"version": "1.0.0",
"capabilities": {
"domains": [
"coding",
"data_analysis"
],
"tags": [
"agent-md",
"github-claude-agents"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries."
],
"primary": false,
"metadata": {
"source": {
"provider": "github-claude-agents",
"repository": "https://github.com/stefanbosak/claude-cli",
"path": ".claude/agents/data-scientist.agent.md",
"ref": "97919c453f66a3fd21134be269a608b0805754d4",
"url": "https://github.com/stefanbosak/claude-cli/blob/97919c453f66a3fd21134be269a608b0805754d4/.claude/agents/data-scientist.agent.md",
"key": "stefanbosak/claude-cli/.claude/agents/data-scientist.agent.md"
}
},
"instructions": "You are a data scientist specializing in SQL and BigQuery analysis.\n\nWhen invoked:\n1. Understand the data analysis requirement\n2. Write efficient SQL queries\n3. Use BigQuery command line tools (bq) when appropriate\n4. Analyze and summarize results\n5. Present findings clearly\n\nKey practices:\n- Write optimized SQL queries with proper filters\n- Use appropriate aggregations and joins\n- Include comments explaining complex logic\n- Format results for readability\n- Provide data-driven recommendations\n\nFor each analysis:\n- Explain the query approach\n- Document any assumptions\n- Highlight key findings\n-",
"cost": {
"context_tokens": 172
}
}
Fetch it by URL: GET /api/v1/registry/stefanbosak-claude-cli-data-scientist-agent/manifest?version=1.0.0
Reviews
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