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Found 8 Skills
Extract and analyze Agentforce session tracing data from Salesforce Data 360. Supports high-volume extraction (1-10M records/day), Polars-based analysis, and debugging workflows for agent sessions.
Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use data360-prepare), segments/insights (use data360-segment), retrieval/search (use data360-query), or STDM/session tracing (use agentforce-observe).
Salesforce Data 360 reports, dashboards, report types, reportability of DMOs and calculated insights, dashboard limits, consumption insights, and semantic model analytics. TRIGGER when: the user creates, reviews, packages, or debugs Data 360 reports, dashboards, report types, KPI dashboards, or analytics built on DMOs, CIOs, or semantic models.
Salesforce Data 360 Retrieve phase for query-sql, queryv2, profile APIs, metadata introspection, and query MCP usage. TRIGGER when: the user writes or debugs Data 360 SQL, profile retrieval, metadata lookup, or query tooling.
Salesforce Data 360 metadata API mastery for production agentic use cases: metadata retrieval, semantic descriptions, field/object documentation, relationship semantics, data graph readiness, prompt/action grounding, and metadata quality scoring. TRIGGER when: the user prepares Data 360 metadata for Agentforce, AI agents, semantic search, dashboards, prompt grounding, or wants metadata descriptions and semantics improved programmatically.
Use this skill for Salesforce Data 360 architecture, implementation, troubleshooting, Connect API payloads, metadata discovery, query SQL, calculated insights, semantic layer, search, segmentation, activation, data actions, governance, data spaces, and agentic validation workflows.
Salesforce Data 360 Connect phase for connectors and connection lifecycle. TRIGGER when: the user works on connectors, connections, connection schema, connection test flows, or source-object discovery.
Salesforce Data 360 automation with data actions, data action targets, DataObjectDataChgEvent, Data Cloud-triggered flows, activation-triggered flows, API activations, Flow orchestration, and event payload design. TRIGGER when: the user creates or debugs Data 360 triggered automation or downstream flows from DMO, calculated insight, engagement, segment, activation, or data action events.