Content
36%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.
The body presents a well-organized overview of the quant-analyst domain, but it functions mostly as a topic outline: guidance is principle-level with no executable content, workflow steps lack definition and validation checkpoints, and its one progressive-disclosure pointer targets a nonexistent file. Combined with circular use-when boilerplate, the skill needs concrete detail (or a real playbook file) to be genuinely actionable.
Suggestions
Fix or remove the dangling reference to 'resources/implementation-playbook.md' — no such file or directory exists in the bundle; either create it (e.g., under references/) or drop the pointer.
Add at least one executable artifact, e.g. a vectorized pandas backtest snippet with transaction costs/slippage, or a concrete step-by-step procedure with validation checkpoints (train/test split, lookahead-bias check, out-of-sample verification).
Delete the circular 'Use this skill when / Do not use this skill when' boilerplate and generic Instructions bullets, replacing them with domain-specific guidance Claude does not already know (e.g., data-source pitfalls, survivorship-bias checks, specific library conventions).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The Focus Areas, Approach, and Output sections are dense and non-padded, but roughly a third of the body is circular boilerplate ('Working on quant analyst tasks or workflows', 'Needing guidance, best practices, or checklists') and generic process advice Claude already knows ('Clarify goals, constraints, and required inputs'), so it is mostly efficient with unnecessary content that could be tightened rather than noticeably verbose. | 3 / 5 |
Actionability | Guidance is high-level throughout: 'Use pandas, numpy, and scipy' names tools, and 'Robust backtesting with transaction costs and slippage' states a principle, but there is no code, command, or concrete procedure anywhere, and the playbook that would carry the details ('resources/implementation-playbook.md') does not exist, leaving only minimal concrete guidance with missing execution steps. | 2 / 5 |
Workflow Clarity | The Approach section lists a rough five-item ordering (data quality, backtesting, risk-adjusted returns, out-of-sample testing, research/production separation), but the items are principles rather than defined steps, and validation checkpoints are entirely absent, matching a rough sequence with many gaps and no validation. | 2 / 5 |
Progressive Disclosure | Sections are clearly organized and the single external reference is one level deep and explicitly signaled ('If detailed examples are required, open resources/implementation-playbook.md'), but that reference is a dead end — no resources/ or references/ directory exists anywhere in the bundle — so navigation falls short of good structure with only minor gaps. | 3 / 5 |
Total | 10 / 20 Passed |