Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An efficiently written, highly actionable skill body: concrete commands and exact tool calls, a clearly sequenced workflow with validation checkpoints and a repair loop, and a single well-signaled bundle reference. No significant weaknesses relative to the rubric.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — no basic concept explanations, just directives, a concrete command, named outputs, and tool calls; it is above the 'mostly efficient but includes some unnecessary explanation' level because every line carries operational weight. | 3 / 3 |
Actionability | Provides a copy-paste bash command invoking the real helper, named output artifacts (deck.pptx, manifest.json, preflight_checks.json), concrete verification commands ('unzip -t'), and exact MCP tool names with parameters (upload_mode="native_google_slides", _get_presentation_outline, _get_slide_thumbnail), matching the 'fully executable code/commands; copy-paste ready' anchor. | 3 / 3 |
Workflow Clarity | A six-step numbered sequence with explicit validation checkpoints ('Do not import the PPTX until preflight_checks.json has status: passed', then unzip -t) and a repair feedback loop in step 5, matching the 'clear sequence with explicit validation steps; feedback loops for error recovery' anchor. | 3 / 3 |
Progressive Disclosure | The body is a concise overview pointing one level deep to the real scripts/report_to_google_slides.py bundle (which exists), with no nested references and clear Workflow/Standards/Visual System sections; per the guideline to score against the actual bundle structure, this matches the 'clear overview with well-signaled one-level-deep references' anchor. | 3 / 3 |
Total | 12 / 12 Passed |