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stock-correlation

Analyze stock correlations to find related companies and trading pairs. Use when the user asks about correlated stocks, related companies, sector peers, trading pairs, or how two or more stocks move together. Triggers: "what correlates with NVDA", "find stocks related to AMD", "correlation between AAPL and MSFT", "what moves with", "sector peers", "pair trading", "correlated stocks", "when NVDA drops what else drops", "stocks that move together", "beta to", "relative performance", "supply chain partners", "correlation matrix", "co-movement", "related tickers", "sympathy plays", "semiconductor peers", "hedging pair", "realized correlation", "rolling correlation", or any request about stocks that move in tandem or inversely. Also triggers for well-known pairs like AMD/NVDA, GOOGL/AVGO, LITE/COHR. If only one ticker is provided, infer the user wants correlated peers.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

76%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with complete executable code for each routed sub-skill and sensible defaults, organized well with one real reference file for the heavy universe-construction logic. The main weakness is missing validation checkpoints on batch downloads and some over-explanation in the interpretation guides.

Suggestions

Add a validation step after batch yf.download (e.g., check that each ticker returned enough rows, drop/log empties) to satisfy the batch-operation feedback-loop requirement and lift workflow_clarity.

Trim the 'Correlation > 0.80 / 0.50-0.80 / < 0.50' interpretation guides — Claude already understands these thresholds; keep only the non-obvious 'correlations go to 1 in a crisis' insight.

Consider moving the longer sub-skill functions (e.g., sector_clustering with scipy linkage) into the references bundle so the main SKILL.md stays a concise overview.

DimensionReasoningScore

Conciseness

Mostly lean and efficient with executable code and tight routing tables; a few interpretation-guide passages ('Correlation > 0.80: Strong co-movement...') restate domain knowledge Claude already has and could be trimmed.

4 / 5

Actionability

Provides fully executable, copy-paste-ready functions for every sub-skill (discover_comovement, return_correlation, sector_clustering, realized_correlation, regime_correlation) plus concrete result-presentation tables covering the common cases.

5 / 5

Workflow Clarity

Steps are well sequenced (deps -> route -> sub-skill -> respond) but the batch yfinance downloads across many tickers have no validation feedback loop for failed/partial fetches, so the batch-operation validation cap applies.

3 / 5

Progressive Disclosure

Good structure with the detailed peer-universe implementation correctly split into a one-level-deep, real reference file (references/sector_universes.md) that is clearly signaled; minor gap is that the main body still inlines several large code blocks that could stand alone.

4 / 5

Total

16

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is well-constructed: it states concrete capabilities, provides a thorough 'Use when' clause with natural trigger phrases, and defines a clear niche with minimal conflict risk. Voice is appropriately third person.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('find related companies', 'trading pairs', 'correlated stocks', 'sector peers', 'co-movement', 'rolling correlation', 'hedging pair') covering the domain comprehensively.

5 / 5

Completeness

Clearly answers 'what' ('Analyze stock correlations to find related companies and trading pairs') and 'when' with an explicit 'Use when...' clause plus concrete trigger phrases and edge-case handling ('If only one ticker is provided, infer the user wants correlated peers').

5 / 5

Trigger Term Quality

Comprehensive natural trigger coverage including synonyms and variations like 'what correlates with NVDA', 'sympathy plays', 'pair trading', 'beta to', 'co-movement', and well-known ticker pairs a user would actually say.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (stock correlation analysis) with distinctive triggers unlikely to fire for unrelated skills; the ticker-pair and correlation-matrix language is specific to this domain.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
himself65/finance-skills
Reviewed

Table of Contents

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