Sprint Planner for Openclaw

A data-driven agile framework for AI agents to plan, scope, and execute high-velocity sprints without ceremony bloat.

1kalin
v1.0.0
Feb 14, 2026
0
1.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install afrexai-sprint-planner

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install afrexai-sprint-planner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Sprint Planner?

The Sprint Planner is a sophisticated workflow within the Openclaw Skills ecosystem designed to eliminate the common pitfalls of agile development. By prioritizing mathematical capacity over guesswork, it ensures that teams only commit to what they can realistically ship. It transforms raw backlogs into structured sprint plans by incorporating focus factors, automated prioritization, and rigorous definitions of done.

This skill is part of a broader movement to simplify project management through AI, focusing on actionable output rather than administrative overhead. By using the Sprint Planner, developers and product owners can maintain a high shipment velocity while keeping a healthy 20% buffer for the unplanned work that inevitably arises in complex software projects.

Sprint Planner Use Cases

  • Planning 2-week development cycles for engineering teams.
  • Calculating realistic team capacity based on headcount and focus factors.
  • Prioritizing product backlogs using objective RICE scoring.
  • Automating async-friendly daily standups that focus on shipped output.
  • Running metric-tied retrospectives to identify and fix process bottlenecks.

How Sprint Planner Works

  1. The user provides team size, sprint duration, and backlog items to the agent.
  2. The skill calculates total available hours using a 0.7 focus factor to account for context switching.
  3. Every backlog item is scored using the RICE framework (Reach, Impact, Confidence, Effort) to determine priority.
  4. A 20% capacity buffer is automatically reserved for unplanned maintenance or bugs.
  5. The agent generates a comprehensive Markdown sprint plan with measurable goals and success criteria.
  6. During the sprint, the agent provides templates for standups and retros based on the established plan.

Sprint Planner Setup

To integrate this framework into your Openclaw Skills workflow, provide your agent with your project context and use the following command structure:

# Example prompt to initiate planning
"Plan a 2-week sprint for [Project Name] with [Number] engineers."

Ensure you provide your current backlog items and any hard dependencies or deadlines for the most accurate capacity calculation.

Sprint Planner Data Schema & Taxonomy

The Sprint Planner organizes sprint data and metrics using the following taxonomy:

Attribute Logic / Schema Purpose
Capacity team_size * days * hours * 0.7 Determines total engineering bandwidth
RICE Score (R * I * C) / Effort Ranks backlog items by objective value
Buffer 0.2 * Total Capacity Reserves time for unplanned technical debt
Sprint Goal Single-sentence string Defines the primary measurable success metric
Status To Do, In Progress, Done Tracks the lifecycle of committed items

Sprint Planner Advanced Features

  • Automated RICE scoring to remove bias from task prioritization.
  • Built-in Focus Factor (0.7) to prevent common over-allocation errors.
  • Anti-pattern detection to flag scope creep and excessive carry-over work.
  • Async-friendly standup templates that shift focus from activities to shipped results.
  • Integrated Retro prompts that tie process improvements directly to velocity metrics.

SKILL.md


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