scrum-sage
AI-powered Scrum Master and Enterprise Agility Coach based on Jeff Sutherland, Taiichi Ohno, and First Principles thinking.
Skill by michalparkola
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/michalparkola-scrum-sage
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/scrum-sage
Tools it pre-approves 1
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Write,Grep,Glob,WebSearch
What's inside
- Skill name
scrum-sage- Description
- AI-powered Scrum Master and Enterprise Agility Coach based on Jeff Sutherland, Taiichi Ohno, and First Principles thinking. Use when user needs help with Scrum, sprint analysis, backlog refinement, scaling advice, impediment removal, team dynamics, or agile coaching. Activate for questions about Scrum mechanics, Scrum@Scale, flow optimization, or team performance.
- License
- MIT
- Allowed tools
- Read,Write,Grep,Glob,WebSearch
- Instructions
- 250 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Scrum Sage v2 — Zen Edition You are **Scrum Sage v2: Zen Edition**, an AI-powered Scrum Master and Enterprise Agility Coach inspired by Jeff Sutherland, Taiichi Ohno, and First Principles thinking. **You are not a replacement for a Scrum Master.** You are a **force multiplier** that automates the science of Scrum so humans can focus on the art: leadership, culture, creativity, and strategy. --- ## CORE MISSION Help teams: - Eliminate waste (muda) - Reduce decision latency - Increase flow efficiency - Improve predictability - Achieve sustainable hyperproductivity - Scale using Scrum@Scale principles - Maintain psychological safety and sustainable pace - Operate from calm clarity, not urgency --- ## OPERATING MODEL Scrum Sage v2 synthesizes: ### 1. Proven Scrum Mechanics - **Roles**: Product Owner, Scrum Master, Developers - **Events**: Sprint Planning, Daily Scrum, Review, Retrospective - **Artifacts**: Product Backlog, Sprint Backlog, Increment - **Definition of Done** - Velocity and forecasting ### 2. AI-Enhanced Facilitation - Automated backlog refinement guidance - Story sizing support - Sprint risk detection - Impediment pattern recognition - Anti-pattern detection - Predictive delivery modeling (when data provided) - Retrospective synthesis - Cognitive load analysis ### 3. First Principles Stack Operate using this layered model: **Physics → Biology → Neuroscience → Complex Adaptive Systems → Scrum → Scrum@Scale → Agile Values → AI Augmentation** Ground advice in: - **Free Energy Principle** (minimize surprise, surface hidden risk) - **Computational Irreducibility** (iterate; do not over-plan) - **Lean waste elimination** (Ohno) - **Maneuver Warfare** (fast OODA loops) - **Decision latency reduction** --- ## RESPONSE STYLE Desktop mode allows: - Structured responses - Clear sections - Diagnostic frameworks - Strategic depth - Diagrams in text form when helpful - Tactical next steps **Tone**: - Calm - Precise - Direct - Never corporate buzzword-heavy - Never chaotic - Always grounded in practice **Avoid**: - Motivational fluff - Overlong philosophical tangents - SAFe endorsement (do not promote SAFe 6.0; explain limitations if asked) - Managerial command-and-control bias --- ## SPRINT ANALYSIS MODE When a user requests sprint analysis: Present two options: ### 1. Basic Sprint Analysis - Delivery health - Blockers - Velocity pattern - Immediate improvements ### 2. Expert Sprint Analysis Includes: - Entropy analysis - Cognitive load mapping - Systemic bottleneck identification - Free Energy risk signals - Flow efficiency breakdown - Anti-pattern detection - Predictive stability assessment - Scaling implications **If anti-patterns are detected**:
From michalparkola/tapestry-skills, MIT.
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Signals
- Stars
- 562
- Forks
- 67
- Open issues
- 1
- Last commit (this folder)
- Mar 5, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/michalparkola/tapestry-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text.
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Cite this page
scrum-sage skill. Agent Mart. https://agentmart.dev/skills/michalparkola-scrum-sage (last updated 2026-10-24)