Content
71%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.
A well-structured, appropriately layered skill body: workflows are clearly sequenced and detailed material is correctly pushed into one-level-deep reference files that all exist. The main weakness is token efficiency — it re-teaches basic technical analysis concepts and carries redundant sections (Example Queries, duplicated reference listings) that could be cut without losing guidance value.
Suggestions
Remove or drastically shorten the "Example Queries" section — it duplicates the description's trigger examples and each workflow's "When to Use" clause — and delete the duplicated inline reference mentions, keeping only the "Reference Files" summary section.
Cut explanations of concepts Claude already knows, e.g., "RSI: Overbought (>70) or oversold (<30)", "Reversal patterns (head and shoulders, double top/bottom)", and "Uptrend, downtrend, or sideways"; the existing references/technical-analysis.md already owns these definitions.
State the shared data-gathering steps once (in "Data Sources") and have each workflow reference them, instead of repeating "Follow data gathering steps" / "Gather data for all stocks" variations across workflows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | "RSI: Overbought (>70) or oversold (<30)", "Reversal patterns (head and shoulders, double top/bottom)", and "Uptrend, downtrend, or sideways" explain technical concepts Claude already knows, and the "Example Queries" section largely restates the description's triggers while reference files are listed both inline in workflows and again in "Reference Files". Mostly efficient with a clear structure, but several sections could be trimmed or removed, keeping it at anchor 3 rather than 4. | 3 / 5 |
Actionability | Concrete guidance throughout: specific search examples ("AAPL financial metrics 2024", "AAPL technical analysis"), enumerated data items (P/E, EPS, PEG, EV/EBITDA), named quality sources, and explicit output/report structures. For an instruction-only, search-driven skill the guidance is mostly executable; a few steps remain high-level ("Estimate fair value range", "Present in concise summary format"), so it stops short of anchor 5. | 4 / 5 |
Workflow Clarity | Four analysis workflows plus a comparison workflow, each with an explicit "When to Use" clause and numbered steps, and a data-quality checkpoint ("Always verify data recency"). The sequence is clear with most checkpoints present, but there is no validation/error-recovery loop (e.g., what to do when data cannot be found or conflicts), so anchor 4 rather than 5. No destructive or batch operations exist, so no cap applies. | 4 / 5 |
Progressive Disclosure | All four referenced files (references/fundamental-analysis.md, references/financial-metrics.md, references/technical-analysis.md, references/report-template.md) exist and are one level deep; the "Reference Files" section signals each with when/contains metadata, and detail (metric formulas, report templates, analytical frameworks) is appropriately deferred to those files rather than inlined. This matches the clear-overview, well-signaled reference pattern of anchor 5. | 5 / 5 |
Total | 16 / 20 Passed |