Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise and well-structured with clear progressive disclosure to supporting files. Its main weaknesses are deferring runnable commands to README.md and lacking validation feedback loops for batch generation.
Suggestions
Embed or inline the key runnable command(s) for generating and editing avatars instead of only pointing to README.md, so the guidance is copy-paste ready.
Add an explicit validation/verification step (e.g., check the manifest or failure JSON and retry failed images) after batch generation to establish a feedback loop.
Clarify how to detect and handle partial failures (failed-render retry rules) within the workflow so batch runs are self-correcting.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence, with terse directives like 'Describe visible appearance only.' and no padding explaining what image generation or pixel art is. | 3 / 3 |
Actionability | Guidance is concrete (specific file paths, the '--overwrite' flag, exact forbidden styles), but actual runnable commands are deferred to README.md rather than provided copy-paste ready, so it is not fully executable inline. | 2 / 3 |
Workflow Clarity | The two-stage sequence and explicit anti-pattern guidance are clear, but batch avatar generation with manifests/failure JSON lacks any validation or validate-fix-retry feedback loop, capping the score at 2. | 2 / 3 |
Progressive Disclosure | The body is a concise overview that signals one-level-deep references to README.md for commands and DESIGN.md for structural changes, with content appropriately split and easy to navigate. | 3 / 3 |
Total | 10 / 12 Passed |