success-story-generator

Generate success story documents from completed STS ASQs and consumption metrics.

Updated Apr 8, 2026

Search Tags:#charting #google-docs #sts #dbu #asq #success-story #consumption-analysis

Ready to run

npx skills add https://github.com/shdzhang/emea-sts-productivity-hackathon --skill success-story-generator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: success-story-generator
Source: https://github.com/shdzhang/emea-sts-productivity-hackathon/tree/main/fe-sts/skills/success-story-generator
Command: npx skills add https://github.com/shdzhang/emea-sts-productivity-hackathon --skill success-story-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Convert completed Shared Technical Services (STS) ASQs and their consumption metrics into polished, shareable success stories so engineers and GTM teams can demonstrate impact without manual data wrangling.

Core Features & Use Cases

Combined ASQ + Consumption Query: Runs a single SQL query against main.field_sts_metrics.gold_shared_asqrelativemetrics to retrieve ASQ metadata and monthly consumption time series.
Scoring & Ranking: Applies a 4-criterion rubric to surface top candidates by metric relevance, growth magnitude, temporal correlation, and engagement depth.
Multi-format Outputs: Generates Google Docs, Google Slides, markdown, Slack drafts, and per-ASQ consumption charts.
Enrichment: Optionally enriches stories with Slack, Gmail, Glean, and Salesforce UCO data for qualitative context and downstream follow-ups.

Quick Start

Generate a success story for ASQ AR-000106066 and create a Google Doc with charts, scoring, and a draft Slack win post.

Frequently Asked Questions about success-story-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate success stories from ASQ consumption metrics and SQL data?▼

To generate success stories from ASQ consumption metrics, this Skill correlates closed STS ASQs with before-and-after metrics using a SQL query against the gold_shared_asqrelativemetrics table, producing scored documents with charts.

Can I create Google Slides and Slack messages from STS ASQ data automatically?▼

Yes, you can create Google Slides and Slack messages from STS ASQ data, as this Skill renders multi-format outputs including Google Docs, Google Slides, markdown, and Slack drafts based on consumption analysis.

How does the scoring system rank ASQ candidates for success story generation?▼

The scoring system ranks ASQ candidates for success story generation by applying a 4-criterion rubric that evaluates metric relevance, growth magnitude, temporal correlation, and engagement depth.

Do I need matplotlib to render consumption charts for ASQ success stories?▼

Yes, you need matplotlib to render consumption charts for ASQ success stories, as the Skill depends on this library for on-demand chart generation and visualizing before-and-after metrics.

What is the best way to enrich STS ASQ success stories with qualitative context?▼

The best way to enrich STS ASQ success stories with qualitative context is by optionally integrating Slack, Gmail, Glean, and Salesforce UCO data to add downstream follow-up information and qualitative depth.

Why does my ASQ success story generation require a combined SQL query?▼

ASQ success story generation requires a combined SQL query to retrieve both ASQ metadata and monthly consumption time series simultaneously from the gold_shared_asqrelativemetrics table, enabling accurate before-and-after metric correlation.