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    Sprint Ready Ticket Rewriter

    1

    Instantly rewrite thin Jira tickets into structured, Sprint-Ready formats with Objective, Scope, and Success Criteria.

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    Sprint Ready Ticket Rewriter

    Sprint Ready Ticket Rewriter

    Example session with this skill installed

    Make ticket PROJ-442 sprint ready. The current description is just a few lines about adding a 'forgot password' link to the login page and sending an email.

    • Read your context and instructions
    • Compiled the sprint ready ticket

    I have fetched PROJ-442 from Jira and restructured the description into a sprint-ready format.

    Rewritten Ticket: PROJ-442 - Implement Password Recovery Flow

    Objective
    Provide a secure mechanism for users to reset their account passwords via email, reducing manual support tickets for account recovery.

    Scope

    • Add a "Forgot Password" link to the existing login page.
    • Create a recovery request form requiring the user's registered email address.
    • Implement a backend service to generate a time-limited, one-time-use reset token.
    • Integrate with the existing SMTP service to send the recovery email.
    • Build a new password reset page where users can input and confirm their new password.

    Success Criteria

    • User receives a password reset email within 60 seconds of requesting.
    • Reset tokens expire after 30 minutes.
    • The new password must meet existing complexity requirements (min 8 chars, 1 symbol).
    • The user is automatically logged in or redirected to login after a successful reset.
    • Attempts to use expired or invalid tokens result in a clear error message.

    Risks

    • Potential for email delivery delays if the SMTP provider hits rate limits.
    • Security risk of token hijacking if not properly invalidated after first use.
    • Dependency on the current email template system for the recovery notification.

    Next steps

    • Review the Success Criteria for alignment with QA standards.
    • Confirm if the 30-minute token expiration matches company security policy.
    • Update the ticket in Jira with this structured content.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Manually cleaning up vague Jira tickets takes hours of back-and-forth during sprint planning. This skill automates ticket refinement by restructuring messy notes into a consistent, developer-friendly format.

    What it does

    • Standardizes structure by converting ticket descriptions into four distinct sections: Objective, Scope, Success Criteria, and Risks.
    • Clarifies objectives by extracting the primary goal from unstructured text.
    • Defines scope to prevent feature creep during the sprint.
    • Establishes success criteria to provide clear guidance for QA and acceptance.
    • Identifies risks to highlight technical hurdles or dependencies early.

    How it works

    1. The user provides a specific Jira ticket ID.
    2. The skill fetches the current ticket data from the Jira instance.
    3. The content is parsed and mapped to the Sprint Ready schema.
    4. The skill outputs the rewritten version for review or direct update.

    Frameworks & tools

    This skill uses Python for execution and interacts with the Jira API.

    Why this beats prompting it yourself

    Generic LLM prompts often hallucinate scope or miss subtle technical risks mentioned in the original text. This skill follows a specific architectural pattern (Objective/Scope/Success/Risks) to ensure every ticket meets a uniform Definition of Ready without manual prompting overhead.

    Use cases

    • Refine messy brainstorming notes into actionable engineering tickets.
    • Prepare a backlog for an upcoming sprint planning session.
    • Standardize ticket quality across a multi-team project.
    • Identify missing acceptance criteria before development begins.

    Known limitations

    Requires a functional Jira API connection and local Python environment to run the script. It only processes the description field of the ticket.

    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 access and Python environment. Limited to processing the ticket description field.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Trust & safety

    Security scan

    Security scan passed 2 days ago

    Software
    Python

    The rewrite is posted as a Jira comment by default, not as an overwrite of the original description. Your original ticket text is preserved. If you want the rewrite to replace the description instead, set REWRITE_MODE=overwrite in your environment.

    Permissions

    Terminal / Shell
    Network Access
    Environment Variables
    Listed2 days ago
    Updatedtoday

    What's inside

    Frequently Asked Questions

    This skill automates the refinement of messy Jira descriptions into a structured format (Objective, Scope, Success Criteria, Risks), saving time during sprint planning and ensuring every ticket meets a uniform 'Definition of Ready.'

    The skill requires a functional Jira API connection and a Python-compatible environment to execute the script and interact with your tickets.

    No, this skill is specifically designed to parse and restructure the 'Description' field to ensure the core requirements and scope are clear for developers and QA.

    You will receive the complete Python-based skill package, integration instructions for the Jira API, and the specific schema configuration used to standardize your ticket output.

    Generic prompts often miss technical nuances or hallucinate details; this skill uses a structured architectural pattern to ensure consistent, reliable mapping of your specific notes into professional engineering documentation.

    New in Product Management