Skip to content

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.