Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is lean, actionable, and well-organized, with concrete tool invocations and a defined deliverable. The only gap is workflow_clarity: the sequence lacks explicit validation or quality-check checkpoints.
Suggestions
Add an explicit verification step before delivery, e.g. after ingestion confirm each Macro Trend claim is backed by a timestamped source link before presenting the dashboard.
Include a short feedback loop: if fewer than 2-3 videos are returned or transcripts are unavailable, retry with an adjacent video_category_id or broader region_code before proceeding.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The lean ~20-line body names tools (get_trending_videos, get_video_transcript, generate_timestamp_url) without explaining them and avoids concept padding, assuming Claude's competence so that every token earns its place. | 3 / 3 |
Actionability | It gives concrete tool-level guidance with named functions, parameters, and example values (video_category_id '20'/'28', top 2-3 transcripts, 2-3 timestamp links) plus a defined Executive Dashboard deliverable; for an instruction-only skill this specific, actionable guidance satisfies the score-3 bar. | 3 / 3 |
Workflow Clarity | The 1-5 numbered sequence is clearly ordered, but there are no explicit validation/verification checkpoints or feedback loops; this is a multi-step process so the simple-skill exception does not apply, matching 'steps listed but checkpoints missing or implicit.' | 2 / 3 |
Progressive Disclosure | The skill is under 50 lines, needs no external references, and is organized into clear sections (Objective, Execution Steps, Next Actions), which qualifies for score 3 under the under-50-lines guideline. | 3 / 3 |
Total | 11 / 12 Passed |