Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with concrete commands, parsing rules, and templates, and has a clear sequenced workflow. It loses points for duplicated status definitions, a missing fix-and-retry validation loop, and a monolithic inline structure with no progressive disclosure.
Suggestions
Remove the duplicated status state-machine content — keep a single definition (either the Step 4 inline comments or the "Status State Machine" section) to reduce redundancy and token cost.
Add an explicit fix-and-retry feedback loop to Step 5 validation (e.g., "if any check fails, correct the YAML and re-run validation before reporting completion") to gate the batch file-generation.
Move the large sprint-status.yaml template and status definitions into a reference file (e.g., references/sprint-status-template.yaml) and link to it, enabling one-level-deep progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient domain-specific guidance, but the status state-machine definitions are duplicated (inline YAML comments in Step 4 and again in the "Status State Machine" section), and the large templated YAML block could be tightened. | 2 / 3 |
Actionability | It provides executable commands (resolve_customization.py invocation), concrete parsing patterns ("## Epic 1:", "### Story 1.1:"), explicit ID conversion rules, and a complete copy-paste-ready YAML template. | 3 / 3 |
Workflow Clarity | A clear 5-step sequence with a Step 5 validation checklist is present, but validation is post-hoc with no explicit fix-and-retry feedback loop for the batch file-generation operation. | 2 / 3 |
Progressive Disclosure | Content is organized into sections and steps, but everything is inline in SKILL.md with no bundle files or one-level-deep references; the large YAML template and status reference material should live in separate files. | 2 / 3 |
Total | 9 / 12 Passed |