An elite planning skill that structures concise, highly aligned one-week sprint docs complete with goals, scope, workstreams, and definition of done.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sprint-plan
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sprint-plan 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 Plan?
The Sprint Plan skill equips AI agents with a highly optimized workflow to structure, rewrite, or create technical agile blueprints for one-week engineering increments. Instead of generating sprawling, bloated documentation, this Openclaw Skills asset forces clear boundaries, precise goals, and explicit scope definitions to drive velocity and team consensus.
By prioritizing direct, readable layouts over exhaustive execution details, this skill ensures that teams can easily distinguish between current technical gaps and upcoming proposed work. It anchors all technical initiatives to actionable success metrics while preserving user-provided language to minimize generic corporate jargon.
Sprint Plan Use Cases
- Creating a focused one-week agile blueprint for software engineering and product teams.
- Rewriting chaotic feature requests or loose project ideas into a structured alignment document.
- Establishing explicit In Scope and Out Of Scope parameters before commencing high-velocity developments.
- Organizing cross-functional engineering deliverables into 4-8 manageable technical workstreams.
How Sprint Plan Works
- Identify Outcome: The agent defines the ultimate sprint goal in a single, high-impact sentence along with a bulleted summary.
- Contextualize Value: It establishes the urgency, clarifying why this work matters now with a canonical example.
- Isolate Gaps: The skill separates current technical or process gaps from the newly proposed initiatives.
- Define Scope: It creates distinct boundaries for In Scope items and intentionally avoids Out Of Scope elements.
- Structure Workstreams: The plan breaks down the overarching execution plan into 4-8 distinct workstreams, each containing dedicated goals, deliverables, and completion criteria.
- Mitigate and Measure: It concludes by establishing decision principles, an explicit Definition of Done, success metrics, and open risks.
Sprint Plan Setup
To enable this capability in your AI workspace, install the package containing Openclaw Skills and reference the sprint plan schema configuration within your agent profile:
openclaw skills install sprint-plan
Ensure that your agent is initialized with the proper permission boundaries to read repository backlogs or project briefs when executing this skill.
Sprint Plan Data Schema & Taxonomy
The skill formats output into a predictable, highly scannable Markdown structure with a defined schema taxonomy:
| Section | Type | Purpose |
|---|---|---|
| Sprint Goal | String | A clear, one-sentence statement describing the sprint outcome. |
| Summary | Unordered List | Highlights user-visible changes, internal adjustments, and automation. |
| Current Gaps | Unordered List | Specific evaluation of what is broken or missing today. |
| In / Out Of Scope | Unordered List | Explicit boundary checklists to prevent scope creep. |
| Workstreams | Nested Blocks | 4-8 segments detailing individual Goal, Deliverables, and Done criteria. |
| Metrics & Risks | Unordered List | Quantitative success tracking and unresolved technical dependencies. |
Sprint Plan Advanced Features
- Dynamic Context Preservation: Automatically adapts to user-provided project language rather than overriding it with boilerplate agile vocabulary.
- Algorithmic Scope-Lock: Enforces strict segregation of In Scope and Out Of Scope tasks to keep execution windows within a strict one-week timeline.
- Principle-Driven Decision Trees: Employs customizable decision principles that clarify technical trade-offs to help developers make autonomous implementation choices.
SKILL.md
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