II.
LibraryProcess JSON
Structured · livelib-process:travel--flight-dataset-build
specializations/domains/business/travel/flight-dataset-build json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:travel--flight-dataset-build",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "specializations/domains/business/travel/flight-dataset-build",
"description": "Build a local SQLite travel/flight dataset: scope the search\n geography & time window, discover authoritative open data sources,\n design a query-friendly schema, write and run Python 3 + stdlib\n `sqlite3` scripts to ingest the data, add indexes and denormalized\n helper views, and produce a SCHEMA.md describing the database for\n downstream agents. No MCP is used anywhere. All database creation,\n loading and querying happens through Python scripts that import the\n Python standard-library `sqlite3` module; no SQL is executed in any\n other way.",
"libraryPath": "library/specializations/domains/business/travel/flight-dataset-build.js",
"specialization": "travel",
"usesAgents": [
"trip-scope-planner",
"open-data-scout",
"sqlite-schema-architect",
"python-etl-engineer",
"data-quality-inspector"
]
},
"outgoingEdges": [
{
"from": "lib-process:travel--flight-dataset-build",
"to": "skill-area:travel-itinerary-planning",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "skill-area:product-discovery",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "domain:travel",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "role:product-manager",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "role:operations-analyst",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "workflow:customer-journey-optimization",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "specialization:travel",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "lib-agent:travel--trip-scope-planner",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "lib-agent:travel--open-data-scout",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "lib-agent:travel--sqlite-schema-architect",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "lib-agent:travel--python-etl-engineer",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:travel--flight-dataset-build",
"to": "lib-agent:travel--data-quality-inspector",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
}
],
"incomingEdges": []
}