Sprint Planner

    2

    Automatically decompose complex epics into structured sprint tasks with story points, AC, and dependency maps.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    plan the development of a user authentication system with jwt support and a underlying database schema

    Your agent does

    Sprint 1 — Foundation (12 pts)

    T01 — Design User Schema

    • Role: backend | Points: 2 | Deps: []
    • AC: SQL migrations written, ERD reviewed.

    T02 — Implement JWT Auth

    • Role: backend | Points: 3 | Deps: [T01]
    • AC: Returns 201 on success, 401 on invalid login, tokens rotate.

    What you get

    Convert a vague epic into a structured markdown sprint planEstimate project timelines using Fibonacci story pointsDefine clear acceptance criteria for every technical taskMap task dependencies to identify critical paths and blockersGenerate role-based task lists for frontend and backend developers

    About this skill

    What it does

    The Sprint Planner skill transforms high-level feature requests and epics into meticulously organized, execution-ready sprint plans. It takes a simple description—like "build a payment gateway integration"—and decomposes it into atomic, actionable tasks complete with story points, acceptance criteria, developer roles, and dependency mapping.

    Why use this skill

    Estimating and breaking down work is one of the most time-consuming parts of the SDLC. While a standard LLM might give you a generic list of steps, this skill uses a structured Fibonacci story point rubric and industry-standard velocity calculations to build a realistic timeline. It ensures backend, frontend, and DevOps tasks are sequenced correctly so your team avoids blockers. The output is a professional SPRINT_PLAN.md file that can be immediately committed to your repo or pasted into Jira/Linear.

    Supported Outcomes

    • Atomic Task Breakdown: Ensures every task is small enough for one dev to finish in 1-3 days.
    • Dependency Logic: Guarantees foundation tasks (like data modeling) happen before UI implementation.
    • Automatic Estimation: Assigns points based on complexity and risk, flagging items that need further refinement.
    • Team Assignment: Categorizes work by role (Frontend, Backend, Fullstack, DevOps) for easier resource planning.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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