agile-ml
CommunityAgile methods tailored for ML projects.
Product & Management#data-science#sprint-planning#ml-ops#velocity-tracking#agile-ml#ml-projects#experiment-backlog
Authorinfantesromeroadrian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Agile methodologies adapted for ML projects. Sprint planning with uncertainty, experiment-as-backlog-item, velocity tracking for ML teams, and ceremony adaptations.
Core Features & Use Cases
- Sprint planning adaptations for ML projects with uncertain outcomes
- Experiment-as-backlog item pattern for ML experiments
- Cross-functional velocity tracking across ML lanes
- Ceremony adaptations for ML teams
- Use Case: managing ML model development with iterative experiments
Quick Start
Define your first ML sprint by creating an experiment-backed backlog and applying the agile ceremonies described above.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agile-ml Download link: https://github.com/infantesromeroadrian/arca-claude-code/archive/main.zip#agile-ml Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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