AI for Product & Engineering teams
Built for engineers, PMs, and platform teams
36 items
Plugins · 1 results
Skills · 35 results
View all skillsProduct Requirements Document
Product ManagerCreates an eight-section PRD covering context, problem, audience, objective, success metrics, value proposition, solution, release scope, assumptions, and open questions.
ConfluenceJiraIssue Hygiene
DataHub Lineage
Analytics EngineerFinds upstream sources, downstream dashboards, owners, and risk in DataHub so teams can avoid breaking reports, pipelines, or customer-facing data.
DataHubSnowflakeData Freshness
User Stories
Product ManagerConverts features, designs, and PRD context into small user stories using the 3 Cs and INVEST criteria, with testable acceptance criteria, edge cases, and sprint-readiness notes.
ConfluenceJiraIssue Hygiene
DataHub Quality
Analytics EngineerReviews assertions, incidents, freshness and volume checks, and notification subscriptions so teams know which data assets need attention.
DataHubSnowflakeAssertion Pass Rate
Feature Prioritization
Product ManagerTurns a messy backlog of feature ideas and customer requests into a ranked recommendation with visible evidence, trade-offs, validation gaps, and what to defer.
Google SheetsJiraObjective Progress
Jira Automation
Product ManagerCreates issue templates, sprint setup, automation rules, and reporting plans so Jira administration is consistent across teams.
ConfluenceGoogle SheetsIssue Hygiene
MCPs · 0 results
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