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Grok Bot+18 agentsJira Sprint Reporter
Generate automated Markdown sprint reports from Jira using JQL. Perfect for standups and stakeholder updates.
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Jira Sprint Reporter
Example session with this skill installed
Run a sprint report for project "PROJ" focusing on all tickets that are not currently in the "Done" status.
- Read your context and instructions
- Compiled the jira sprint reporter
I have executed the Jira extraction script for project PROJ. The data has been parsed and formatted into the following status report.
Jira Sprint Status Report: PROJ
| Key | Summary | Status | Priority | Assignee |
|---|---|---|---|---|
| PROJ-101 | Implement OAuth2 provider for mobile | In Progress | High | s_jobs |
| PROJ-104 | Fix memory leak in background worker | In Progress | Critical | g_hopper |
| PROJ-105 | Update API documentation for v2.1 | To Do | Medium | a_lovelace |
| PROJ-108 | Investigation: Database connection spikes | Blocked | High | k_thompson |
| PROJ-110 | Add unit tests for payment gateway | Review | Medium | r_feynman |
Summary of Blockers
- PROJ-108: Blocked by infrastructure team. Awaiting new RDS instance provisioning.
Distribution by Priority
- Critical: 1
- High: 2
- Medium: 2
Next steps
- Copy the Markdown table into your project Wiki or Confluence page.
- Follow up with the assignee of PROJ-108 regarding the infrastructure block.
- Review the "Review" status tickets before the end of the day.
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- Cancel anytime
- Delivered live via MCP
About this skill
Drafting sprint updates manually is a repetitive time sink for engineering leads. This skill automates the extraction of Jira ticket data into a structured Markdown report for stakeholders.
What it does
- Automated extraction pulls ticket data directly from Jira using JQL queries.
- Status filtering allows for targeted reporting on specific ticket states like in-progress or blocked.
- Markdown formatting converts raw Jira data into clean, readable tables and lists.
- Custom scoping enables reports focused on specific projects, epics, or assignees.
How it works
- Provide a JQL query string to define the scope of the sprint data.
- The skill executes the
run.pyscript to interface with the Jira API. - It processes the ticket metadata including status, priority, and summary.
- It outputs a formatted Markdown report ready for documentation or Slack updates.
Frameworks & tools
This skill uses Python and the Jira API via the jira library.
Why this beats prompting it yourself
Prompting an LLM to organize Jira data requires manual copy-pasting of ticket lists which leads to formatting errors. This skill interfaces directly with the data source, ensuring no tickets are missed and the output remains consistent every time.
Use cases
- Generate weekly status reports for project stakeholders.
- Create a summary of blocked tickets for daily standups.
- Export completed work logs for end-of-sprint reviews.
- Audit ticket backlogs for specific projects to identify stale tasks.
Known limitations
Requires an active Jira API token and pre-configured environment variables for authentication. Valid JQL syntax is required for successful data retrieval.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Product Management.
Requires Jira API credentials and environment setup. Relies on user-provided JQL for query accuracy.
How to use
- 1
Connect your agent to the Agensi MCP
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- 2
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- 3
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Requires a Jira API token with read access to the project. The subscription keeps working as long as your token stays valid. If a report comes back empty, check that your project actually has sprints enabled.