Content
75%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 well-structured, mostly lean workflow document with unusually concrete domain guidance (specific GL calls, framework markers, an implementation decision table) and a real verification step. The main gaps are the absence of an explicit parity-failure feedback loop and no copy-paste-ready tooling snippet for runtime interception.
Suggestions
Add an explicit feedback loop to Step 5, e.g. "If parity fails, return to step 3 and revise the visual model rather than tuning values in the rebuild."
Provide one copy-paste-ready interception snippet (or a scripts/ helper) for the WebGL runtime-interception step, which is currently a checklist of API names.
Trim the duplicated use-case sentence and the attribution line, and consider moving the WebGL interception details and EXTRACTION-REPORT.md format into a one-level reference file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dominated by lean bullet lists that assume competence (interception points, framework markers, implementation-choice table) with almost no background explanation of concepts Claude already knows. Minor trimmable padding remains: the "especially useful for hero backgrounds..." sentence largely duplicates the description, and the "inspired by the MIT-licensed web-shader-extractor" attribution adds little operational value. Not a 5 because of those few sentences that do not earn their place. | 4 / 5 |
Actionability | Concrete, executable guidance throughout: exact interception targets ("gl.shaderSource()", "gl.uniform*() calls", "gl.bindFramebuffer()"), named framework markers ("THREE", "BABYLON", "__NEXT_DATA__", GSAP, Lenis), a decision table mapping effect type to implementation (CSS/WAAPI, GSAP, Canvas 2D, WebGL2, Three.js), and a defined EXTRACTION-REPORT.md structure. Not a 5 because there is no copy-paste-ready artifact (e.g., an interception injection snippet or a sample DevTools command) for the hardest step — runtime interception stays at the checklist level. | 4 / 5 |
Workflow Clarity | Six clearly sequenced phases with an explicit verification step ("Open the reference and the rebuilt artifact at the same viewport sizes") and concrete checks ("verify that the canvas is not blank and that animation advances over time", screenshots across "at least two timestamps"). Not a 5 because there is no explicit error-recovery feedback loop for parity failure — the closest is the rule "Do not tune random values to hide a root-cause mismatch; fix the model instead", which implies but does not state a retry path back to an earlier step. | 4 / 5 |
Progressive Disclosure | A single-file skill with no references/, scripts/, or assets/ directories; the body is well-sectioned (Scope, Workflow with six numbered phases, Quality Bar) and easy to navigate. Most content is appropriately placed in one file for a workflow skill of this length (~125 lines). Not a 5 because some well-bounded detail — the WebGL interception API list and the EXTRACTION-REPORT.md format — is dense enough that it could be split into a one-level-deep reference file, trimming the main body. | 4 / 5 |
Total | 16 / 20 Passed |