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🚀 AI-Enabled Agile Prompt Library

A practitioner-built prompt library for Scrum Masters and Agile Coaches — designed to integrate Generative AI into real ceremony workflows across Scrum and SAFe.

License: MIT Prompts Frameworks AI Tools


⚡ Quickest way in — interactive browser

Open docs/index.html in your browser for a searchable, filterable view of all 21 prompts. Click any card to open the full prompt with placeholders highlighted, then copy or paste straight into your AI tool.

GitHub Pages: If this repo has Pages enabled, the browser is live at
https://sathishkumaralagiri.github.io/agile-prompt-library/


🎯 What is This?

An open, community-driven prompt library built by a practising Scrum Master and Agile Coach to help Agile practitioners stop writing from scratch and start leveraging AI as a delivery accelerator.

Every prompt has been:

  • ✅ Used in real ceremony workflows
  • ✅ Tested across ChatGPT, Claude, and Microsoft Copilot
  • ✅ Structured for consistent, stakeholder-ready output

📁 Library Structure

agile-prompt-library/
│
├── docs/
│   ├── index.html                ← ✨ Interactive prompt browser (start here)
│   ├── how-to-use.md
│   ├── prompt-anatomy.md
│   └── ai-tools.md
│
├── prompts/
│   ├── sprint-planning/          # 5 prompts
│   ├── sprint-review/            # 4 prompts
│   ├── retrospectives/           # 5 prompts
│   └── pi-planning/              # 7 prompts
│
└── CONTRIBUTING.md

🗂️ Prompt Index

🗓️ Sprint Planning → prompts/sprint-planning/

File Purpose
sprint-goal-drafter.md Generate a clear, outcome-focused Sprint Goal from team inputs
capacity-planner.md Summarise team capacity and flag risks before planning
backlog-refinement-facilitator.md Prepare refinement questions and acceptance criteria drafts
planning-summary.md Produce a post-planning summary for stakeholders
daily-scrum-health-check.md Analyse Daily Scrum patterns and surface team health signals

📋 Sprint Review → prompts/sprint-review/

File Purpose
increment-narrative.md Describe the sprint increment in business language
stakeholder-update.md Produce a concise sprint update for leadership
demo-talking-points.md Generate demo talking points per user story
review-summary.md Full sprint review summary with metrics and outcomes

🔁 Retrospectives → prompts/retrospectives/

File Purpose
retro-facilitator.md Facilitation prompts for Start/Stop/Continue, 4Ls, Mad-Sad-Glad
retro-synthesis.md Synthesise team inputs into themes and prioritised actions
action-tracker.md Draft SMART action items from retro outputs
pattern-analysis.md Identify recurring themes across multiple retrospectives
retro-summary.md Produce a clean retro summary for team records

🗺️ PI Planning → prompts/pi-planning/

File Purpose
pi-objectives-drafter.md Translate team inputs into draft PI Objectives (SMART format)
dependency-mapper.md Identify and articulate cross-team dependencies from notes
risk-summariser.md Synthesise ROAM risks from team discussions
art-sync-summary.md Produce ART Sync meeting summaries
pi-planning-prep.md Full pre-PI Planning preparation checklist and prompts
pi-confidence-vote.md Facilitate and summarise PI confidence vote discussions
pi-inspect-and-adapt.md Prepare PI performance data and problem statement for I&A workshop

🧠 Prompt Design Principles

Every prompt follows a consistent structure:

ROLE     → Who the AI should be  ("You are an experienced Scrum Master...")
CONTEXT  → What information to provide  (bracketed placeholders like [TEAM_NAME])
TASK     → Clear, specific instruction
FORMAT   → Output structure  (bullet points, table, narrative, etc.)
TONE     → Audience-appropriate  (team / stakeholder / leadership)

See docs/prompt-anatomy.md for the full breakdown.


🤖 AI Tool Compatibility

Tool Notes
ChatGPT (GPT-4o) Best for long-form synthesis and structured outputs
Claude (Anthropic) Excellent for nuanced facilitation and coaching language
Microsoft Copilot Best for integration with M365, Teams, and SharePoint

See docs/ai-tools.md for tool-specific tips.


🤝 Contributing

Contributions are warmly welcome — see CONTRIBUTING.md.


👤 About the Author

Built by Sathish Kumar Alagiri — Scrum Master, Agile Coach, and AI practitioner.

🎓 PSM II | ICP-ACC | Certified SAFe Practitioner


📄 License

MIT License — free to use, adapt, and share with attribution.


"The best Agile teams don't just adopt new tools — they build new capabilities."

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AI-Enabled Agile Prompt Library for Scrum Masters and Agile Coaches — covering Sprint Planning, Sprint Review, Retrospectives, and PI Planning

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