Teamwork Graph CLI example prompts and workflows
This experience is currently in beta.
Ask natural language questions and get instant answers from across your Atlassian workspace. This page lists example prompts you can try and multi-step workflows your agent can handle with Teamwork Graph (TWG) CLI. These are starting points — your agent understands natural language, so you don't need to use the exact wording.
TWG CLI is currently free to use. In the future, some features may become paid offerings. If this changes, you'll receive advance notice.
Ask your agent across multiple apps
TWG CLI lets your agent pull context from multiple Atlassian apps in a single prompt, so you can get a complete picture without querying each app separately.
Use case | Example prompt |
|---|---|
Summarise your recent work — Get a combined view of your Jira, Confluence, and Bitbucket activity, so you can quickly recap your week. | “Summarise everything I worked on this week.” |
Get context for your current focus — See your open issues, upcoming deadlines, and recent activity, so you can prioritise your day. | “What should I focus on today?” |
Look up a person — Find out who someone is and what they're working on across products. | “Who is [name] and what are they working on?” |
Onboard to a new team — Get a summary of a team's people, projects, docs, and current sprint. | “I just joined the Platform Engineering team. Help me get up to speed.” |
Multi-step workflow examples
These examples show how your agent chains multiple queries from a single prompt.
Example 1: Weekly work summary
What you say:
“Summarise everything I worked on this week.”
What your agent does:
Looks up your recent Jira activity — issues updated, commented on, or transitioned.
Finds Confluence pages you've created or edited.
Checks pull requests you've opened or reviewed in Bitbucket.
Produces a plain-English summary you can share in a standup or check-in.
Example 2: Onboard to a new project
What you say:
“I just joined the Platform Engineering team. Help me get up to speed.”
What your agent does:
Finds the team structure and key people.
Looks up the current active sprint and open issues.
Finds relevant Confluence docs and onboarding pages.
Lists recent pull requests in the team's repos.
Summarises what the team is currently focused on.
Example 3: Explore a Jira issue in depth
What you say:
“Tell me everything about PROJ-123.”
What your agent does:
Fetches the issue details, current status, and assignee.
Looks up linked issues and dependencies.
Finds related pull requests and any linked Confluence pages.
Gives you a full picture of the issue and what needs to happen next.
Example 4: Prepare for a sprint review
What you say:
“Help me prepare for our sprint review. The sprint ends Friday.”
What your agent does:
Lists all issues in the current sprint, grouped by status.
Flags anything overdue or not started.
Summarises completed work in a format you can share.
Identifies any blockers or at-risk items.
Example prompts quick reference
Use these prompts as starting points. Your agent understands natural language, so you don't need the exact wording.
Topic | Example prompt |
|---|---|
My work | “What are my open Jira issues?” |
My work | “Summarise everything I worked on this week.” |
Sprint | “Show me the current sprint for the Platform team.” |
Issues | “Tell me everything about PROJ-123.” |
Confluence | “Find pages about onboarding in Confluence.” |
Code | “Show PRs I authored this month.” |
People | “Who are the key people in the Platform Engineering team?” |
Goals | “What goals is my team tracking?” |
Context | “I just joined the Platform Engineering team. Help me get up to speed.” |
Was this helpful?