Content
57%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 delivers genuinely actionable commands, an exact intermediate format, and a clear end-to-end sequence, but it is undermined by cross-section redundancy, missing bundle files that the examples depend on, and the absence of any output-verification step. It is a solid, usable skill document that needs tightening and one validation checkpoint to reach the top band.
Suggestions
Add an explicit validation step to the workflow (e.g., re-open the generated .docx with python-docx to confirm required sections and styling before delivering), since document-generation workflows should include a feedback loop.
Ship the referenced files (sample_input_standard.txt, sample_output.docx, output/ZhangWei-Academic-CV.docx) or remove those references so the documented example command runs verbatim.
Consolidate the Awards/Skills/styling rules, which are each repeated across Key Features, the workflow steps, and the format rules, into a single authoritative section to reduce token cost.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with no concept over-explanation, but the same rules are repeated across sections: the Awards-omission rule appears in Key Features, workflow steps, and the Markdown format rules; the Skills-inference and uniform-styling rules are each stated three to four times. This redundancy could be consolidated into one authoritative section, placing it at 'mostly efficient but could be tightened' rather than 'minor instances'. | 3 / 5 |
Actionability | Concrete, copy-paste-ready commands ('python scripts/render_cv.py --input ... --output ...') with exact flag values, an exact intermediate Markdown template, and a fixed output naming convention, backed by a real script. Not a 5 because the example references files absent from the bundle ('sample_input_standard.txt', 'sample_output.docx', 'output/ZhangWei-Academic-CV.docx'), so the documented example cannot run verbatim. | 4 / 5 |
Workflow Clarity | The 7-step end-to-end workflow is clearly sequenced (parse/classify → Markdown intermediate → render → save), but there are no validation or verification checkpoints at all — no step confirms the .docx was produced correctly or that required sections are present. Per the rubric, a document-manipulation workflow without a feedback loop is capped at 3. | 3 / 5 |
Progressive Disclosure | Sections are well organized and the script reference is real, but three of the four referenced paths are dangling: 'sample_input_standard.txt', 'sample_output.docx', and 'output/ZhangWei-Academic-CV.docx' do not exist in the bundle, and all implementation detail is inlined in a ~140-line body rather than split out. Navigation and discovery are therefore undermined, fitting 'some structure but could be better organized'. | 3 / 5 |
Total | 13 / 20 Passed |