Data · Global library
Real-Time Analytics Pipeline
Build sub-second analytics pipelines over streaming events without turning the system into an operational mystery.
CodexClaude CodeKimi Codeorchestrator-mcp
Best use case
Use Real-Time Analytics Pipeline when you need to build sub-second analytics pipelines over streaming events without turning the system into an operational mystery, especially when the work is driven by real time analytics and clickhouse.
Trigger signals
real time analyticsclickhousestreaming
Validation hooks
verify_latency_metrics
Install surface
Copy the exact command path you need.
Inspect
pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show real-time-analytics-pipeline
Use
orchestrator-mcp skills export real-time-analytics-pipeline --to ./skillforge-packs
# copy the exported pack into your preferred agent environment
Export
cp -R skills/real-time-analytics-pipeline ./your-agent-skills/real-time-analytics-pipeline
# or open skills/real-time-analytics-pipeline/SKILL.md in a markdown-first client
File patterns
**/*.sql**/stream/****/analytics/**
Model preferences
deepseek-ai/deepseek-v3.2qwen3-coder:480b-clouddeepseek-r1:32b
Related skills
Adjacent packs to compose next.
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