Content
65%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.
Highly actionable with comprehensive executable examples, but it underuses its own bundle: the endpoint reference is inlined rather than deferred to ENDPOINTS.md, and the production client script is never mentioned. Workflow clarity is capped by missing validation around batch operations.
Suggestions
Replace the inline 'API Endpoints Reference' tables with a pointer to references/ENDPOINTS.md to avoid duplication and shrink the main skill.
Reference scripts/twelvedata_client.py from the body (e.g., a 'Production client' section) so the bundled wrapper is discoverable.
Integrate the error-handling/credit-check pattern into the batch and fundamentals recipes so each task validates responses before proceeding.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with extensive code, but the opening line restates the description and the inline API Endpoints Reference tables duplicate content that belongs in the bundled references/ENDPOINTS.md, so it could be tightened. | 3 / 5 |
Actionability | Provides fully executable, copy-paste-ready Python covering the common cases: basic requests, SDK usage, time series, chained indicators, batch quotes, fundamentals, forex, crypto, symbol search, WebSocket, and error handling. | 5 / 5 |
Workflow Clarity | The skill is a recipe collection rather than a sequenced workflow, and batch operations (get_batch_quotes) lack integrated validation checkpoints; the standalone error-handling snippet is not wired into the task sequences, capping clarity at 3. | 3 / 5 |
Progressive Disclosure | Section structure is reasonable, but the bundled references/ENDPOINTS.md and scripts/twelvedata_client.py are never referenced from the body, while a partial endpoint reference is inlined instead of pointing to the existing reference file. | 3 / 5 |
Total | 14 / 20 Passed |