Agent skill

Scrum Master

by borghei in borghei/Claude-Skills

Data-driven Scrum Master for sprint health scoring, Monte Carlo velocity forecasting, retrospective analysis, capacity planning, and Tuckman team coaching.

MITAuto-check passedProduct & Project Management

Install Scrum Master

skills CLI
$ npx skills add borghei/Claude-Skills --skill scrum-master -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills scrum-master --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/project-management/scrum-master .claude/skills/scrum-master && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scrum-master
GitHub stars
874
Token cost
~2.5k tokens
SKILL.md length
1,055 words
Files
20 (incl. scripts, references, assets)
Skills in repo
364
Repo updated
First seen
Licence
MIT

At a glance

Data-driven Scrum Master for sprint health scoring, Monte Carlo velocity forecasting, retrospective analysis, capacity planning, and Tuckman team coaching.

  • Works in 5 steps: Name the human owner. Every Product… → Make AI use transparent. Flag… → Watch review load and rework. Track… → …
  • Facilitating sprint planning
  • SKILL.md covers Core Capabilities, When to Use, Clarify First and Quick Start, plus 5 more sections
  • Runs Python scripts from its folder; calls python

What it does

Scrum Master is an agent skill from borghei/Claude-Skills. Data-driven Scrum Master for sprint health scoring, Monte Carlo velocity forecasting, retrospective analysis, capacity planning, and Tuckman team coaching. Use when facilitating sprint planning, diagnosing velocity, or running retrospectives.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts, reference files and assets (for example `assets/expected_output.json`, `assets/expected_velocity_output.json` and `assets/sample_sprint_data.json`).

It sits in Product & Project Management, covering Retrospectives, Forecasting and time series and Site reliability engineering. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Facilitating sprint planning
  • Diagnosing velocity
  • Running retrospectives

Example prompts

  • “/scrum-master”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Name the human owner. Every Product Backlog item worked by an AI agent has a named human who is accountable for it meeting the Definition…
  2. Make AI use transparent. Flag AI-generated items or PRs on the board so the team can inspect review load and rework in the Sprint Review…
  3. Watch review load and rework. Track review wait time, PR size, reopened items, and bug-fix work alongside velocity. A velocity jump with…
  4. Keep items small. Hold story-splitting and WIP limits even when generation is fast; small batches are what keeps AI speed from becoming…
  5. Don't re-baseline velocity blindly. Forecast from post-adoption sprints only once 3+ sprints of stable data exist, and pair it with flow…

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • scrumexpansion.org
    • dora.dev

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scrum Master loads about 2.5k tokens when it runs, and up to ~23k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 1,055 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~23k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 1,055 words, ~2,538 tokens.

Download SKILL.mdSave it as .claude/skills/scrum-master/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.
name
scrum-master
description
Data-driven Scrum Master for sprint health scoring, Monte Carlo velocity forecasting, retrospective analysis, capacity planning, and Tuckman team coaching. Use when facilitating sprint planning, diagnosing velocity, or running retrospectives.
license
MIT + Commons Clause
metadata.version
2.0.1
metadata.author
borghei
metadata.category
project-management
metadata.domain
agile-development
metadata.updated
2026-06-15
metadata.tags
scrum, agile, sprint, retrospective, impediments
metadata.python-tools
velocity_analyzer.py, sprint_health_scorer.py, retrospective_analyzer.py, sprint_capacity_calculator.py
metadata.tech-stack
scrum, agile-coaching, team-dynamics, data-analysis

Scrum Master Expert

The agent acts as a data-driven Scrum Master combining sprint analytics, behavioral science, and continuous improvement methodologies. It analyzes velocity trends, scores sprint health across 6 dimensions, identifies retrospective patterns, and recommends stage-specific coaching interventions.

Core Capabilities

  • Sprint health scoring — 6 weighted dimensions (commitment reliability, scope stability, blocker resolution, ceremony engagement, completion distribution, velocity predictability) → 0-100 grade.
  • Velocity forecasting — Monte Carlo simulation with rolling averages, trend detection, anomaly flags, and 50/70/85/95% confidence intervals.
  • Retrospective analysis — action-item completion tracking, recurring-theme persistence, sentiment trends, and team-maturity assessment.
  • Capacity planning — per-member availability, ceremony overhead, and focus factor → conservative/realistic/optimistic commitment.
  • Team coaching — maps behavior to Tuckman stages and Edmondson psychological-safety signals, recommending stage-specific interventions.

When to Use

  • Facilitating sprint planning and setting a sustainable commitment level
  • Diagnosing velocity drops, high volatility, or wide forecast intervals
  • Running retrospectives and tracking whether action items actually land
  • Calculating team capacity with PTO, allocation, and ceremony overhead
  • Coaching a team through Tuckman development stages

Clarify First

Before running the analysis, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Which analysis — velocity forecast, sprint health score, capacity plan, or retro analysis (each selects a different tool and output)
  • Historical sprint data — how many sprints of data exist (Monte Carlo forecasting needs 3+ sprints, 6+ recommended; less means high-uncertainty output)
  • Team capacity context — size, PTO/allocation, ceremony overhead (drives the realistic-vs-optimistic commitment numbers)
  • Team development stage — Tuckman stage / known dynamics (sets which coaching interventions the output recommends)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

ToolPurposeCommand
velocity_analyzer.pyVelocity trends, Monte Carlo forecastingpython scripts/velocity_analyzer.py sprint_data.json --format text
sprint_health_scorer.py6-dimension health scoringpython scripts/sprint_health_scorer.py sprint_data.json --format text
retrospective_analyzer.pyRetro pattern analysis, action trackingpython scripts/retrospective_analyzer.py sprint_data.json --format text
sprint_capacity_calculator.pyCapacity planning with ceremony overheadpython scripts/sprint_capacity_calculator.py team_data.json --format text

All tools accept JSON following assets/sample_sprint_data.json. The full 6-step workflow, input schema, and a worked forecast example are in references/workflow-and-operations.md.

Templates & Assets

  • assets/sprint_report_template.md -- Sprint report with health grade, velocity trends, quality metrics
  • assets/team_health_check_template.md -- Spotify Squad Health Check adaptation (9 dimensions)
  • assets/sample_sprint_data.json -- 6-sprint dataset for testing tools
  • assets/expected_output.json -- Reference outputs (velocity avg 20.2, health 78.3/100)
  • assets/user_story_template.md -- Classic and Job Story formats with INVEST criteria
  • assets/sprint_plan_template.md -- Sprint plan with capacity, commitments, risks

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

Show full SKILL.md (522 more words)Show less

AI-Assisted Delivery

When the team uses AI coding assistants or agents, coach for outcomes and quality, not raw output (as of September 2026):

  • Scrum Guide Expansion Pack (first released June 2025 as v2025.6; current v2026.1, scrumexpansion.org) is a companion to the 2020 Scrum Guide, not a replacement. It states that a Product Developer "may be human or automated", that at least one Product Developer should be human, and that AI "does not replace human accountability". Its AI and Scrum guidance adds that AI-assisted work must meet the same quality bar as any other work and that AI-generated work should be made transparent.
  • DORA 2025 finds AI adoption now associated with higher delivery throughput but still with higher instability, and names working in small batches and strong version control among the seven capabilities that amplify AI's benefit (dora.dev).

Practical guidance for the Scrum Master:

  1. Name the human owner. Every Product Backlog item worked by an AI agent has a named human who is accountable for it meeting the Definition of Done.
  2. Make AI use transparent. Flag AI-generated items or PRs on the board so the team can inspect review load and rework in the Sprint Review and Retrospective.
  3. Watch review load and rework. Track review wait time, PR size, reopened items, and bug-fix work alongside velocity. A velocity jump with rising rework is not improvement.
  4. Keep items small. Hold story-splitting and WIP limits even when generation is fast; small batches are what keeps AI speed from becoming instability.
  5. Don't re-baseline velocity blindly. Forecast from post-adoption sprints only once 3+ sprints of stable data exist, and pair it with flow metrics (execution/cycle-time-analyzer/).

Scope & Limitations

In Scope:

  • Sprint-level data analysis (velocity, health, capacity, retrospectives)
  • Statistical forecasting using Monte Carlo simulation on historical velocity
  • Team dynamics coaching based on Tuckman model and Edmondson psychological safety
  • Ceremony facilitation guidance and retrospective pattern analysis

Out of Scope:

  • Portfolio-level project management (see senior-pm/ skill)
  • Product backlog prioritization and roadmap decisions (see execution/prioritization-frameworks/)
  • Individual performance evaluation -- this skill measures team-level metrics only
  • Real-time Jira/Confluence integration (see jira-expert/ and confluence-expert/ skills)
  • SAFe-specific PI planning or cross-team dependency management (see program-manager/)

Important Caveats:

  • The Scrum Guide 2020 removed "velocity" as a required artifact; this skill treats velocity as a diagnostic tool, not a performance measure. Use flow metrics (cycle time, throughput, WIP) alongside velocity.
  • Monte Carlo forecasts require minimum 3 sprints of data (6+ recommended); forecasts with fewer data points carry high uncertainty.
  • Health scores are heuristics, not absolute measures. Calibrate dimension weights to your team context.

Integration Points

IntegrationDirectionDescription
senior-pm/Feeds intoSprint velocity and health data informs portfolio-level health dashboards and executive reporting
sprint-retrospective/ComplementsGit-based velocity analysis complements this skill's JSON-based sprint data analysis
execution/brainstorm-okrs/Feeds intoSprint capacity data helps set realistic OKR targets for the quarter
execution/prioritization-frameworks/Receives fromPrioritized backlog items feed into sprint planning commitment decisions
discovery/pre-mortem/Receives fromLaunch-blocking tigers may surface as sprint blockers requiring SM intervention
Jira via Atlassian MCPBidirectionalPull sprint data for analysis; push health reports to Confluence dashboards
CI/CD PipelinesReceives fromDeployment frequency and lead time data supplement velocity metrics

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 19 other files (scripts, references, assets) in project-management/scrum-master of borghei/Claude-Skills.

  • SKILL.md
  • assets/expected_output.json
  • assets/expected_velocity_output.json
  • assets/sample_sprint_data.json
  • assets/sprint_plan_template.md
  • assets/sprint_report_template.md
  • assets/team_health_check_template.md
  • assets/user_story_template.md
  • examples/acme-sprint-health-analysis.md
  • references/metrics-troubleshooting-and-tools.md
  • references/red-flags.md
  • references/retro-formats.md
  • references/sprint-planning-guide.md
  • references/team-dynamics-framework.md
  • references/velocity-forecasting-guide.md
  • references/workflow-and-operations.md
  • scripts/retrospective_analyzer.py
  • … and 3 more

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Scrum Master next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scrum Master compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scrum Master this skillborghei/Claude-Skills874—~2.5kAutomated safety check: PassMIT
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Scrum Master Agentalirezarezvani/claude-code-skill-factory879—~3.3kAutomated safety check: PassMIT
Scrum MasteraAAaqwq/AGI-Super-Team1051 repos~5.7kAutomated safety check: PassMIT
Sei Analyticsharness/harness-skills115—~1.7kAutomated safety check: PassApache-2.0
Sprint FacilitatorFerroxLabs/wayland608—~4.1kAutomated safety check: PassApache-2.0

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Questions about Scrum Master

What does Scrum Master do?

Data-driven Scrum Master for sprint health scoring, Monte Carlo velocity forecasting, retrospective analysis, capacity planning, and Tuckman team coaching. Scrum Master is an agent skill from borghei/Claude-Skills. Data-driven Scrum Master for sprint health scoring, Monte Carlo velocity forecasting, retrospective analysis, capacity planning, and Tuckman team coaching.

When should I use Scrum Master?

Scrum Master fits situations like: facilitating sprint planning; diagnosing velocity; running retrospectives.

How do I install Scrum Master in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill scrum-master -a claude-code`. Or copy the skill folder (project-management/scrum-master in borghei/Claude-Skills) into .claude/skills/scrum-master in your project. Claude Code loads it when a task matches its description.

How do I install Scrum Master in Codex?

Run `npx skills add borghei/Claude-Skills --skill scrum-master -a codex`. Or copy the skill folder (project-management/scrum-master in borghei/Claude-Skills) into .agents/skills/scrum-master in your project. Codex loads it when a task matches its description.

Can I use Scrum Master in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill scrum-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scrum-master, .gemini/skills/scrum-master, .github/skills/scrum-master and .opencode/skills/scrum-master in your project.

What does Scrum Master need to run?

Going by SKILL.md and its folder, Scrum Master needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Scrum Master access the network?

SKILL.md names 2 domains. As links in the text: scrumexpansion.org and dora.dev. This is read from the text; nothing was executed.

Is Scrum Master safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Scrum Master use?

Scrum Master is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scrum Master use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.

What are the alternatives to Scrum Master?

Skills that share tags, products or a category with Scrum Master: Scrum Master (alirezarezvani/claude-skills, 28k stars), Scrum Master Agent (alirezarezvani/claude-code-skill-factory, 879 stars), Scrum Master (aAAaqwq/AGI-Super-Team, 105 stars) and Sei Analytics (harness/harness-skills, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scrum Master?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.