scrum-master
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/alirezarezvani/scrum-masterWhat This Skill Does
The scrum-master skill for OpenClaw is a sophisticated data-driven engine designed to elevate agile team performance through advanced analytics and empirical forecasting. Unlike basic project management tools, this skill leverages three specialized Python analysis scripts to turn raw sprint exports into actionable coaching insights. By processing JSON data from Jira or similar platforms, it generates Monte Carlo simulations for accurate delivery forecasting, multidimensional team health scores based on objective performance metrics, and retrospective analysis to identify recurring cultural or procedural bottlenecks. It acts as an expert assistant that helps Scrum Masters, Agile Coaches, and Engineering Managers transition from intuition-based decisions to evidence-based team development.
Installation
To integrate this skill into your environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/alirezarezvani/scrum-master
Ensure that you have your sprint history exported in a standard JSON format compatible with the script requirements provided in the documentation.
Use Cases
Use this skill when you need to answer complex questions about team predictability and health. It is ideal for:
- Preparing for Sprint Planning by using Monte Carlo projections.
- Conducting Sprint Retrospectives backed by sentiment and action-item tracking.
- Investigating a drop in velocity to identify if it stems from blocker resolution delays or scope creep.
- Presenting team maturity and improvement trends to stakeholders using quantitative data.
Example Prompts
- "Run the velocity_analyzer on this sprint_data.json and tell me if our 85% confidence interval for the next three sprints is trending upward."
- "I'm worried about our team's sustainability. Use the sprint_health_scorer to audit our last four sprints and identify the primary weight dragging down our overall grade."
- "Analyze our recent retrospectives in retrospect_data.json. Which themes keep reappearing and what is our current action-item completion rate?"
Tips & Limitations
For optimal results, ensure you provide at least 6 sprints for the Monte Carlo simulations; while 3 are the minimum, higher data density significantly increases statistical confidence. When using the health scorer, verify that your input data includes ceremony participation and story completion metadata, as missing fields will result in incomplete scoring across the six key dimensions. Always use the --format json flag when piping output into other automated reporting dashboards. Be aware that the tool relies heavily on consistent data entry in your project management software; if tickets are not moved correctly, the retrospective and velocity data may be skewed. Treat the output as a diagnostic aid rather than a final mandate, using the insights to spark collaborative conversations during your team syncs.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-alirezarezvani-scrum-master": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, code-execution
Related Skills
intl-expansion
International market expansion strategy. Market selection, entry modes, localization, regulatory compliance, and go-to-market by region. Use when expanding to new countries, evaluating international markets, planning localization, or building regional teams.
marketing-strategy-pmm
Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.
paid-ads
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization.
qms-audit-expert
ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use for internal audit planning, audit execution, finding classification, external audit preparation, or audit program management.
code-reviewer
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.