Content
67%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 advisory skill with concrete thresholds, a working analysis script integrated into the workflow, and a clean one-level reference bundle. The main costs are an oversized generic experiment-idea catalog that pads the token budget and a tool-invocation example that disagrees with the script's actual CLI (HTML input, not JSON).
Suggestions
Move the Experiment Ideas catalog into references/form-cro-playbook.md (or trim to the top 5-8 ideas) — it is generic brainstorming that competes with the context window, and the playbook is the natural home for it.
Fix the tool invocation to match the script's actual CLI ('python3 scripts/form_field_analyzer.py form.html', with '--json' for pipeline output) instead of 'forms.json' as the input argument.
Merge the 'Task-Specific Questions' section into the Initial Assessment, since the two question lists duplicate each other nearly verbatim.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Core Principles, Tools, and Output Format are dense and earn their tokens, but roughly 40% of the body (the 'Experiment Ideas' catalog — 'Button color and size testing,' 'Add testimonial near form,' 'Vertical vs. horizontal field alignment') is generic CRO brainstorming Claude could generate unprompted, and 'Task-Specific Questions' repeats the Initial Assessment questions almost verbatim. This matches anchor 3 (mostly efficient but could be tightened) rather than anchor 2, since there is no explanation of known concepts. | 3 / 5 |
Actionability | Concrete, executable guidance dominates: a real tool invocation ('python3 scripts/form_field_analyzer.py forms.json'), numeric thresholds ('3-5 fields is the working ceiling; 7+ required fields is a high-priority finding'), example error copy ('Enter a work email' not 'Invalid input'), and a fully specified output structure. However, the documented invocation mismatches the script itself, whose usage is 'form_field_analyzer.py form.html' (it parses HTML; '--json' is an output flag), so 'forms.json' as input would fail — a minor but real gap that keeps this at anchor 4 rather than 5. | 4 / 5 |
Workflow Clarity | The sequence is clear and ordered: read product-marketing context if present, run the Initial Assessment, then 'Run it on the form definition first; its flags become the seed list for the Form Audit below,' flowing into the defined Output Artifacts. This is an advisory skill with no destructive or batch operations, so no validation cap applies; it sits at anchor 4 (clear sequence, minor gaps) because the ordering between asking the assessment questions and running the analyzer is implicit rather than an explicit numbered workflow. | 4 / 5 |
Progressive Disclosure | The bundle is well structured for its size: one clearly signaled one-level-deep reference ('full treatment in references/form-cro-playbook.md', which exists) and one script that is actually present and wired into the workflow. Most content is appropriately placed in the body; the inlined ~75-line Experiment Ideas catalog is borderline content that could live in the playbook reference, which keeps this at anchor 4 rather than 5. | 4 / 5 |
Total | 15 / 20 Passed |