数据与研究

ae-analysis

thinkingaiagent…e/ae-cli

Use ae-cli for AE analysis-side data questions, asset operations, and asset governance: reports, analysis boards, BI dashboards, ad-hoc models, drilldown, detail data, alerts, clusters, tags, metrics, metadata discovery, project configuration, tracking plans, local input-file upload, governance asset lists/rules/lineage/impact/dependency, batch asset operations, projects, and resource links. Use when the user asks to query data, explain a change, export evidence, inspect/create/update/govern analysis assets, recommend project assets for certification/authentication, review asset-certification recommendations, review metric recommendations, or build/update/refresh/sync a project semantic knowledge base from a governed asset package.

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安装命令

npx skills add https://github.com/thinkingaiagenticengine/ae-cli --skill ae-analysis

SKILL.md

ae-analysis

This is the single entry skill for analysis intent and command execution.

Capability contract

  • Responsibilities: analysis queries and assets, metadata discovery, audience definitions, local input-file upload, and the governance/project/tracking workflows described below.
  • Inputs: verified project context and the requested measures, time windows, filters or operation-specific resources; upload also needs a local file and a discovered purpose.
  • Outputs: query evidence with its scope, verified metadata, operation/resource identifiers, uploaded input-file identifiers, or asynchronous run/artifact status as applicable. Query rows are not automatically a persisted audience.
  • Boundaries: engagement operations and metadata data-table writes/dimension binding are outside this skill's workflows; find the capability needed for any remaining work.
  • Completion: the requested analysis-side result is verified, or pending/blocked work is identified. Keep any other parts of the user's request unfinished until addressed.

Cross-skill collaboration

When remaining work is outside this skill's scope, or a necessary prerequisite needs another capability, follow the collaboration protocol. Choose from the skills available in this run by capability, preserve verified context, and continue the remaining task. Reuse this protocol if already loaded.

Agent Context Telemetry

Hard rule: before running gateway-backed ae-cli commands in this skill, maintain the current Agent context in .ae/cli-agent-context.json at the working directory root, unless the user explicitly asks not to send intent telemetry. Keep the business command clean; do not append --agent-context <base64url-json> by default. Runtime auto-detection alone is only a partial fallback and is not enough for user-intent telemetry.