clari-core-workflow-a
Build a Clari forecast export pipeline to your data warehouse. Use when exporting forecast calls, quota data, and CRM totals from Clari to Snowflake, BigQuery, or a local database. Trigger with phrases like "clari forecast export", "clari data pipeline", "clari to snowflake", "clari to bigquery", "export clari data". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clari-core-workflow-a --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Clari Core Workflow: Forecast Export Pipeline ## Overview Primary workflow: build an automated pipeline that exports forecast submissions, quota, adjustments, and CRM data from Clari to your data warehouse. Supports Snowflake, BigQuery, and PostgreSQL as targets. ## Prerequisites - Completed `clari-install-auth` and `clari-sdk-patterns` setup - Target database or data warehouse with write access
What does the clari-core-workflow-a skill do?
Build a Clari forecast export pipeline to your data warehouse. Use when exporting forecast calls, quota data, and CRM totals from Clari to Snowflake, BigQuery, or a local database. Trigger with phrases like "clari forecast export", "clari data pipeline", "clari to snowflake", "clari to bigquery", "export clari data". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clari-core-workflow-a --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
