13-prioritisation-agent — Experiment Prioritisation
CommunityRank experiments and gate PM approvals.
Authorlilyydavid
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The prioritisation agent connects diagnosis outputs to experiments, scores and ranks them so PM can decide which to advance, ensuring a consistent, auditable decision process across cycles.
Core Features & Use Cases
- Connects cycle signals, hypotheses, and experiment designs into a traceable prioritisation chain.
- Applies C×I×S scoring to rank experiments and flags sprint-ready candidates for PM approval.
- Generates Jira stories and publishes a Confluence summary for stakeholder visibility after PM confirmation.
Quick Start
Run the intelligence loop to trigger prioritisation and generate sprint-ready experiments for PM review.
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: 13-prioritisation-agent — Experiment Prioritisation Download link: https://github.com/lilyydavid/ai-diagnostic-loop-mirror/archive/main.zip#13-prioritisation-agent-experiment-prioritisation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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