Macro Indicator Tracker Workflow
Compose the named atomic skills without adding interpretation logic here.
Inputs
Provide the indicator list (e.g. CPI, GDP, policy rate) and the geography/lookback window.
Steps
Step 0: web-search [skill: web-search]
Invoke $web-search with the workflow inputs to locate the latest
publicly reported releases for the requested indicators.
Expected: macro_source_packet
Step 1: quant-data-ingest [skill: quant-data-ingest] [depends_on: Step 0]
Invoke $quant-data-ingest with macro_source_packet to normalize
the releases into the Timeseries Memory backend.
Expected: normalized_macro_series
Output
Return normalized_macro_series. Does not interpret or forecast a regime shift.
Execution
- Run first: Step 0 —
$web-search. - After level 0: Step 1 —
$quant-data-ingest.
Execution: If graph-os is reachable, offload the whole DAG via graph_orchestrate action=execute_workflow (or the kg-delegate skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet depends_on in parallel, then their dependents.