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Plan a sprint that ships — capacity, commitment vs stretch, dependencies, and risk identification that prevents mid-sprint surprises. Use to build the sprint planning artifact itself.
Passed 20 of 22 test cases with the skill, and 13 of 22 without it.
and 5 more in the full report
7 fixed13 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have compiled our sprint details into a local file named `sprint_plan.json`. What exact command line command should we execute to audit capacity utilization, commit/stretch split, and DoD coverage in markdown output?
| Checked | Without skill | With skill |
|---|---|---|
| Executes python3 project-management/execution/sprint-plan/scripts/sprint_planner.py with --input sprint_plan.json and --format markdown. | Missed | Passed |
The instructions your model reads when the skill loads.
A sprint plan that survives contact with reality. Covers capacity math, commit vs stretch separation, dependency identification, and the pre-sprint review that prevents mid-sprint surprises.
Before generating the sprint plan, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
A good goal:
test cases passed, vs 13 / 22 without
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