Gather Business Context

Use this skill to collect the business context needed to understand an analytical question before doing deeper work. Focus on what the topic is, why it matters, what changed or is being decided, who or what source is closest to the work, and which definitions or artifacts should frame the analysis. This is a retrieval and extraction skill: gather enough context to set up the next step, not a final report, root-cause analysis, or broad background scan. Skip it when the prompt already provides the needed context or the task is fully self-contained.

Skill Configuration

User Context

Mandatory pre-answer gate: Invoke data-analytics:user-context in preflight mode by loading data-analytics:user-context and running its preflight script before answering, searching connectors, retrieving evidence, creating artifacts, or drafting output. Do not look for a callable MCP tool named data-analytics:user-context. Use the returned data_analytics_preflight envelope as the source of truth for saved context, source-category mapping, semantic-layer registry, onboarding/final-response obligations, and conditional guidance; use saved context and semantic layers as source-selection inputs, not as substitutes for workflow-time reads from connected or provided sources. Do not read or reinterpret raw plugin state files unless preflight fails, declares required content omitted, local shell access is unavailable, or the user explicitly asks for raw state inspection.

Workflow

1. Identify The Retrieval Target

Establish the analytical topic that needs context and why it matters for the next step. Capture the boundary needed to search and interpret sources, such as the relevant product area, audience, time period, or decision. If the timeframe is missing, use the narrowest reasonable window implied by the task and label it as an assumption.

2. Build Search Anchors

Search with concrete identifiers rather than broad topic guesses. Start with the names the user provided or the sources surfaced, then expand with adjacent terms that help recall, such as aliases, owners, teams, dates, source names, related entities, or entities found in earlier results.