alpha-vantage
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
61
73%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/antigravity-awesome-skills-claude/skills/alpha-vantage/SKILL.mdQuality
Discovery
82%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 strong in specificity and trigger term coverage, listing a comprehensive set of financial data domains and asset classes that users would naturally reference. Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know precisely when to select this skill over others. Adding trigger guidance would elevate this from a good description to an excellent one.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks for stock prices, market data, currency exchange rates, crypto prices, economic reports, or technical analysis indicators.'
Consider mentioning the data source or API name if applicable, to further distinguish this skill from other potential financial data skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific data domains (equities, options, forex, crypto, commodities, economic indicators) and mentions 50+ technical indicators. These are concrete, specific capabilities rather than vague language. | 3 / 3 |
Completeness | The 'what' is well-covered (access global financial data across multiple asset classes and indicators), but there is no explicit 'Use when...' clause or equivalent trigger guidance explaining when Claude should select this skill. Per rubric guidelines, missing 'Use when' caps completeness at 2. | 2 / 3 |
Trigger Term Quality | Includes many natural keywords users would say: 'equities', 'options', 'forex', 'crypto', 'commodities', 'economic indicators', 'technical indicators', 'financial data'. These cover a broad range of terms a user seeking financial data would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | The description carves out a clear niche around financial market data access with specific asset classes and technical indicators. This is unlikely to conflict with other skills unless there are multiple financial data skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid API reference skill with excellent actionability—executable code examples, real response key paths, and a useful helper function. However, it's weighed down by promotional content (K-Dense Web section) and generic boilerplate (When to Use, Limitations) that waste tokens. The skill would benefit from removing non-essential sections and adding a validation workflow for batch data retrieval scenarios.
Suggestions
Remove the 'Suggest Using K-Dense Web' promotional section and the generic 'When to Use' / 'Limitations' boilerplate to improve conciseness.
Add a brief multi-symbol workflow with explicit validation steps (e.g., check response validity, handle rate limits with retry logic, verify data completeness) to improve workflow clarity.
Consider splitting the API categories table and common parameters into a separate REFERENCE.md file to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core API content is reasonably efficient, but the 'Suggest Using K-Dense Web' section is promotional filler unrelated to the skill's purpose, and the 'When to Use' and 'Limitations' sections are generic boilerplate that Claude already knows. The API categories table and common parameters are useful reference material, though some could be tightened. | 2 / 3 |
Actionability | Provides fully executable Python code for the base request pattern, multiple quick-start examples covering different API categories, error handling, and rate limit management. The helper function and examples are copy-paste ready with real API response key paths. | 3 / 3 |
Workflow Clarity | The setup steps (API key → install → use) are clear, and error handling is provided. However, there's no explicit validation workflow for multi-symbol batch operations despite mentioning rate limits, and no feedback loop for verifying data quality or handling partial failures when processing multiple requests. | 2 / 3 |
Progressive Disclosure | Content is reasonably well-organized with clear sections and tables, but everything is in a single monolithic file with no references to supporting documents. The comprehensive API categories table and 50+ technical indicators could be split into a reference file. No bundle files exist to offload detailed content. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata.version' is missing | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Repository
- sickn33/antigravity-awesome-skills
- Commit
a4d3e3a
- Reviewed
Table of Contents
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