Content
80%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, concise overview that leverages a deep, organized reference bundle effectively. Its main weakness is workflow_clarity: it presents rules and priority rather than sequenced procedures with validation checkpoints.
Suggestions
Add an inline executable queue example (e.g., @DBOS.queue() with enqueue/consume) to close the actionability gap on a headline topic.
For multi-step risky operations (e.g., launching/migrating), include an explicit validate->fix->retry sequence with checkpoints to raise workflow_clarity above 3.
In 'How to Use', reference the _sections.md index (or list per-category entry files) so all 33 reference files are discoverable, not just the 3 examples shown.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body that assumes Claude's competence: a priority table, three tight executable code blocks, and bullet constraints with no padding explaining what DBOS/Python/workflows are. | 5 / 5 |
Actionability | Provides copy-paste-ready launch and workflow/step code plus explicit 'Do NOT' constraints, but lacks an inline executable example for queues despite queues being a headline topic. | 4 / 5 |
Workflow Clarity | A priority table gives a rough category sequence and constraints are listed, but there are no explicit validation checkpoints or validate->fix->retry feedback loops for the multi-step processes. | 3 / 5 |
Progressive Disclosure | SKILL.md is a genuine overview with a priority table and key rules inline, pointing to 33 verified, well-organized one-level-deep reference files (each frontmattered with title/impact/tags) plus a _sections.md index. | 5 / 5 |
Total | 17 / 20 Passed |