customer-support-analysis
Answer Zendesk customer support questions using Fivetran-synced data via BigQuery, Snowflake, or Databricks.
Skill by fivetran
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
Use cases: data, productivity, agent-building
Reviews
Write a reviewNo 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 codecdn.jsdelivr.net· found in codecloud.google.com· found in codecodeload.github.com· found in install commanddocs.databricks.com· found in codedocs.snowflake.com· found in codefivetran.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
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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
- Repository
- github.com/fivetran/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
customer-support-analysis skill. Agent Mart. https://agentmart.dev/skills/fivetran-customer-support-analysis (last updated 2026-10-24)