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customer-support-analysis

Answer Zendesk customer support questions using Fivetran-synced data via BigQuery, Snowflake, or Databricks.

Skill by fivetran

IndexedNOASSERTION★ 24
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/fivetran-customer-support-analysis

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Answer Zendesk customer support questions using Fivetran-synced data via BigQuery, Snowflake, or Databricks. Analyzes ticket volume and trends, first reply and resolution times (business + calendar hours), backlog aging, agent performance, SLA breach rates, CSAT, and channel/priority breakdowns using the fivetran/zendesk dbt package models (zendesk__ticket_enriched, zendesk__ticket_metrics, zendesk__ticket_field_history, zendesk__ticket_backlog, zendesk__ticket_summary, zendesk__sla_policies). Use when someone asks about support ticket volume, first reply / resolution time, backlog, agent performance, SLA breaches, CSAT, or any Zendesk metric. Trigger on: "first reply time", "first response", "resolution time", "ticket resolution", "ticket backlog", "open tickets", "SLA breach", "CSAT", "satisfaction score", "agent performance", "ticket volume", "support performance", "Zendesk", "customer support".

Use cases: data, productivity, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 7

  • api.fivetran.com · found in code
  • cdn.jsdelivr.net · found in code
  • cloud.google.com · found in code
  • codeload.github.com · found in install command
  • docs.databricks.com · found in code
  • docs.snowflake.com · found in code
  • fivetran.com · found in code

Files it touches

  • ~/.claude/skills/customer-support-analysis
  • /Library/Keychains/System.keychain
  • /tmp/dashboard.html
  • Your home directory (~)
  • ~/.databrickscfg
  • ~/.fivetran/auth-state

Tools it pre-approves 7

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • bash(bq,
  • gcloud,
  • snow,
  • snowsql,
  • databricks,
  • open,
  • python3)

What's inside

Skill name
customer-support-analysis
Description
Answer Zendesk customer support questions using Fivetran-synced data via BigQuery, Snowflake, or Databricks. Analyzes ticket volume and trends, first reply and resolution times (business + calendar hours), backlog aging, agent performance, SLA breach rates, CSAT, and channel/priority breakdowns using the fivetran/zendesk dbt package models (zendesk__ticket_enriched, zendesk__ticket_metrics, zendesk__ticket_field_history, zendesk__ticket_backlog, zendesk__ticket_summary, zendesk__sla_policies). Use when someone asks about support ticket volume, first reply / resolution time, backlog, agent performance, SLA breaches, CSAT, or any Zendesk metric. Trigger on: "first reply time", "first response", "resolution time", "ticket resolution", "ticket backlog", "open tickets", "SLA breach", "CSAT", "satisfaction score", "agent performance", "ticket volume", "support performance", "Zendesk", "customer support".
License
NOASSERTION
Allowed tools
bash(bq,, gcloud,, snow,, snowsql,, databricks,, open,, python3)
Metadata
owner: abdul.ghaffar@fivetran.com · plugin: customer-support-analysis · short-description: First reply, resolution time, backlog, SLA, and CSAT analysis for Zendesk
Instructions
756 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • body: 756 lines (spec recommends under 500)

Files (7)

  • SKILL.md
  • asa.py
  • asa.sh
  • dashboard-schema.md
  • generate-dashboard.py
  • readiness.json
  • warehouse-discovery.md

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

Signals

Stars
24
Forks
1
Open issues
0
Last commit (this folder)
Oct 15, 2026 (14 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from fivetran

Cite this page

customer-support-analysis skill. Agent Mart. https://agentmart.dev/skills/fivetran-customer-support-analysis (last updated 2026-10-24)