Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality, highly actionable skill that provides precise, executable guidance for a complex multi-agent QA workflow. Its greatest strength is the specificity of the sub-agent prompts — complete with exact tool calls, output schemas, and anti-patterns to detect. The main weakness is length: the three full sub-agent prompts make the file long, though this is partially justified by the need for literal prompt text, and the progressive disclosure could be improved by splitting prompts into referenced files.
Suggestions
Consider moving the three sub-agent prompts into separate reference files (e.g., `references/visual-review-prompt.md`) and referencing them from the main skill, reducing the SKILL.md to a concise orchestration overview.
Trim the introductory paragraph — the description of creator bias is repeated in both the intro and workflow step 5; consolidate to one mention.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long but most content earns its place — the sub-agent prompts are necessarily detailed and specific. However, there's some redundancy (e.g., the bias explanation is repeated in both the intro and workflow step 5, and some phrasing could be tightened). The opening paragraph explaining why the skill exists is useful context but slightly verbose. | 2 / 3 |
Actionability | Extremely actionable: provides literal copy-paste sub-agent prompts with specific tool calls, exact YAML output schemas, concrete template-token lists to scan for, specific severity categories, and precise aggregation format. The workflow is fully executable with named tools and parameters. | 3 / 3 |
Workflow Clarity | The workflow is clearly sequenced (sanity check → spawn sub-agents → wait → aggregate → report), with explicit validation at multiple levels: input sanity checks, required `inspected_slide_ids` audit trails to prevent silent skips, a fix-then-rerun loop with an iteration cap at 3, and a clear READY/NOT READY decision gate. The loop contract with escalation after iteration 3 is a strong feedback loop. | 3 / 3 |
Progressive Disclosure | The skill references `../google-slides/references/workflow.md` for the snapshot schema, which is good progressive disclosure. However, the skill itself is quite long (~250 lines) with the three full sub-agent prompts inline. These prompts could potentially be split into separate reference files, though an argument can be made they need to be inline since they're literal prompt arguments. No bundle files are provided to verify the referenced path exists. | 2 / 3 |
Total | 10 / 12 Passed |