These examples use the backlog from fixtures/stories.csv — 40 user stories for a prioritization tool, scored on benefit, penalty, estimate, and risk.
Scenario. You just exported 40 stories from a spreadsheet. You want to import them, organise them by feature area, and figure out which items deliver the most value for the least effort.
Prompt you can paste into Claude Code:
Create a new rewelo project called "prio-tool". Then read the file
fixtures/stories.csvand import its contents using the reweloimport_csvtool.
Behind the scenes, Claude will call:
mcp tool: project_create { "name": "prio-tool" }
mcp tool: import_csv { "project": "prio-tool", "csv": "<contents of fixtures/stories.csv>" }
→ { "imported": 40 }
Prompt you can paste into Claude Code:
Read fixtures/dependencies.csv and set those in mpc rw accordingly
Behind the scenes, Claude will map story IDs to ticket titles and call relation_create for each row:
mcp tool: relation_create {
"project": "prio-tool",
"source": "API access",
"type": "depends-on",
"target": "Auto-calculate priority scores"
}
mcp tool: relation_create {
"project": "prio-tool",
"source": "User feedback tool integration",
"type": "depends-on",
"target": "API access"
}
Supported relation types:
| Type | Use when... |
|---|---|
depends-on |
A can't start until B is done |
blocks |
A prevents B from starting |
relates-to |
Loosely connected, no ordering |
splits-into |
A was broken down into B |
see-also |
Reference link, no dependency |