Can I filter activation logs by specific time periods?

Yes. While the skill defaults to the last 24 hours, it can utilize the TD_INTERVAL function to query specific custom time ranges.

What are the requirements to use the activations skill?

You must provide a Parent Segment ID, have a correctly configured @treasuredata/mcp-server, and ensure your API key has access to the relevant database tables.

Can it summarize data across different marketing journeys?

Yes, it can perform SQL aggregations to show which journeys or stages are triggering the most activations or experiencing the highest error rates.

What information does the skill provide about failed activations?

The skill retrieves error messages, HTTP status codes, and the full response body from the activation server to help identify specific failure points like 404 errors or invalid tokens.

How does the skill handle multiple customer segments?

The skill prompts the user for a specific Parent Segment ID (e.g., 411671) to correctly target the corresponding cdp_audience_[ID]_rt database.

Treasure Data Activations

Name: Treasure Data Activations
Author: treasure-data

bytreasure-data

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营销自动化

Queries and analyzes real-time marketing activation logs to monitor performance and troubleshoot delivery errors.

关于

The Activations skill empowers Claude to interact with Treasure Data's real-time activation logs, providing developers and digital marketers with immediate visibility into campaign execution. By querying specialized audience databases, it can pinpoint activation failures, analyze volume across specific marketing journeys, and summarize error patterns from status codes and response messages. This skill is essential for debugging failed webhooks, auditing delivery status, and monitoring the overall health of real-time digital marketing activations through automated SQL analysis.

主要功能

Automated SQL querying of activation logs based on Parent Segment IDs
Aggregation and summarization of unique error types for rapid troubleshooting
Journey-level volume analysis to track activations across different stages
Time-range filtering with intelligent defaults for recent activity
Deep error diagnosis using HTTP status codes and raw response text
2 GitHub stars

使用场景

Monitoring the volume of successful vs. failed activations across different customer journeys
Auditing real-time message delivery status for specific parent segments
Identifying the root cause of failed webhook activations during a live campaign

关于

主要功能

Automated SQL querying of activation logs based on Parent Segment IDs
Aggregation and summarization of unique error types for rapid troubleshooting
Journey-level volume analysis to track activations across different stages
Time-range filtering with intelligent defaults for recent activity
Deep error diagnosis using HTTP status codes and raw response text
2 GitHub stars

使用场景

Monitoring the volume of successful vs. failed activations across different customer journeys
Auditing real-time message delivery status for specific parent segments
Identifying the root cause of failed webhook activations during a live campaign