Content
100%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured strategy skill body that is concise, concrete, and actionable for a complex iterative search, with clearly sequenced workflows, explicit gating/validation checkpoints, and clean one-level-deep reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body assumes Claude's competence with no preamble explaining known concepts (e.g., what quantization or AutoQuant is); every section carries domain-specific decision content with no fluff or padding, even though it is long for a genuinely complex multi-axis search task. | 3 / 3 |
Actionability | As an instruction-only strategy skill, it provides concrete and specific guidance: named axes (e.g., "Numeric format: FP8/W8A8, NVFP4/W4A4"), named module families, explicit decision branches, named sibling skills to delegate to, and a defined portfolio-table schema; the absence of code is not penalized under the instruction-only carve-out because the guidance is actionable. | 3 / 3 |
Workflow Clarity | Two clearly sequenced multi-step processes (Design Workflow and Iteration Loop) include explicit validation checkpoints such as the "Gate before scaling" step, rerun-on-noise guidance, and promote-only-when-validated feedback loops. | 3 / 3 |
Progressive Disclosure | SKILL.md serves as an overview with two well-signaled, one-level-deep references (recipe_iteration.md for design/search-space/sensitivity details, and qwen36_case_study.md conditionally for Qwen3.5/3.6 specifics); both referenced files exist under ./references/, and content is appropriately split with easy navigation. | 3 / 3 |
Total | 12 / 12 Passed |