asq-refresher

Aggregate ASQ context from SFDC, Calendar, Slack, Gmail, and Obsidian into executive meeting briefs.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/shdzhang/emea-sts-productivity-hackathon --skill asq-refresher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: asq-refresher
Source: https://github.com/shdzhang/emea-sts-productivity-hackathon/tree/main/fe-sts/skills/asq-refresher
Command: npx skills add https://github.com/shdzhang/emea-sts-productivity-hackathon --skill asq-refresher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides a fast, reliable way to prepare concise, executive-focused meeting briefs for ASQ engagements by aggregating scattered context across SFDC, Slack, Gmail, Calendar, Logfood/Genie, DBRA, Glean, and local caches so meeting owners arrive informed without manual data gathering.

Core Features & Use Cases

  • Context Aggregation: Collects ASQ metadata, SFDC records, calendar events, Slack history, Gmail follow-ups, Obsidian notes, and internal DBRA research into a single JSON context for synthesis.
  • Consumption & Metrics: Pulls Logfood and Genie consumption metrics when applicable (Launch/Growth Accelerator) and synthesizes 30-day trends and product-level spend into an executive consumption summary.
  • Meeting Synthesis: Produces a 2–3 sentence executive summary, meeting timeline, prioritized next steps & open risks table, and internal context with source attribution and contradiction flags; degrades gracefully when sources are unavailable.
  • Use Case: Prepare a one-page brief before an upcoming customer meeting that highlights recent activity, consumption trends (if applicable), internal escalations, and a prioritized agenda.

Quick Start

Ask the skill to prepare an executive meeting brief for the account or alias you are meeting with, including context, key facts, and prioritized next steps.

Frequently Asked Questions about asq-refresher

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

FAQPage Schema
How do I generate an executive meeting brief from Slack, SFDC, and Gmail context?

To generate an executive meeting brief, the skill aggregates context across SFDC, Slack, Gmail, Calendar, and internal research tools. It synthesizes a concise summary, meeting timeline, and prioritized next steps with source attribution.

What is the best way to analyze ASQ consumption metrics for Launch and Growth Accelerator accounts?

Analyzing ASQ consumption metrics for Launch and Growth Accelerator accounts requires pulling Logfood and Genie data. The skill synthesizes 30-day trends and product-level spend into an executive consumption summary for these specific supported ASQ types.

Does the meeting brief aggregation process work if some data sources like Obsidian or Glean are unavailable?

The meeting brief aggregation process uses parallel data retrieval with graceful degradation. If sources like Obsidian, Glean, or Logfood are unavailable, it continues synthesizing the brief using accessible data and flags any missing context.

How do I deduplicate and cross-reference customer communications when preparing for an ASQ meeting?

To deduplicate and cross-reference customer communications, the skill aggregates scattered context from SFDC, Slack, and Gmail into a single JSON context. It then cross-references facts and flags contradictions during the meeting synthesis process.

Can I prepare a one-page executive summary with internal escalations and a prioritized agenda before a customer meeting?

You can prepare a one-page executive summary before a customer meeting by aggregating ASQ metadata and communications. The skill highlights recent activity, internal escalations, consumption trends, and generates a prioritized agenda.

What tools do I need to connect to synthesize ASQ context and internal research into a single JSON output?

Synthesizing ASQ context requires connecting to SFDC, Calendar, Slack, Gmail, Obsidian, DBRA, Glean, Logfood, and Genie. The skill aggregates data from these platforms into a single JSON context for executive brief generation.