Content
100%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.
A dense, fully operational skill body: every step is executable with exact commands, validation is built in (editability counts, SSIM threshold, visual preview comparison) with explicit error-recovery loops, and all implementation detail is correctly deferred to the scripts bundle behind a clean CLI. No padding, no concept explanations, no time-sensitive churn.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: it never explains what OCR, matting, or HTML are, and every section carries operational specifics the model could not infer (timings, the FAL_ACCOUNT_ERROR policy, tested font mappings, delivery templates). It matches anchor 5 ('every token earns its place'); anchor 4 would require identifiable over-explanation that could be trimmed, and the closest candidates (the font defaults list, the Chinese reply templates) encode tested defaults and required output formats rather than generic knowledge. | 5 / 5 |
Actionability | Guidance is fully executable and copy-paste ready: exact commands like `bash {baseDir}/scripts/run.sh run "<Working Directory>/<image file>" --extras "<names from step 2>" --title "<short title>"`, concrete `--extras` examples for two common cases (menu/poster and chat UI), a complete follow-up command table with argument syntax, and the exact delivery reply format. It matches anchor 5 ('copy-paste ready… specific examples cover the common cases'); the only loosely specified argument (`--title "<short title>"`) is self-evident from context and does not constitute a gap. | 5 / 5 |
Workflow Clarity | The 7-step sequence is explicit with genuine validation checkpoints: compare `objects_preview` against the image, proof-read every `texts` entry with enumerated fix patterns, and check `check.editability` ("All should be 0") and `static_ssim` (~0.7 threshold) with prescribed actions when they fail. Feedback loops are present throughout — re-run with the graphic in `--extras` when it isn't tinted, the FAL_ACCOUNT_ERROR handling with an explicit "don't retry", `undo` for follow-up edits, and "Skip the rebuild if nothing needed fixing". This matches anchor 5 ('explicit validation steps; feedback loops for error recovery'); the operation is generative rather than destructive, so the validation cap does not apply. | 5 / 5 |
Progressive Disclosure | The split is exactly right: the ~150 KB of implementation (build_scene.py, scene.py, pipeline.py, etc.) lives in scripts/ and is exposed only through run.sh's three-subcommand interface (run / rebuild / scene), verified to exist on disk, while the body stays at workflow level. References are one level deep, clearly signaled via the command blocks, and navigation is trivial — matching anchor 5 ('content appropriately split; easy navigation'); anchor 4's 'minor organization gaps' has no instance here. | 5 / 5 |
Total | 20 / 20 Passed |