Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill that efficiently guides Claude through Apipie AI automation via Rube MCP. The workflow is clear with proper validation checkpoints, and the content respects token budget. The main weakness is that tool call examples use placeholder syntax rather than fully concrete examples, which slightly reduces immediate actionability.
Suggestions
Provide at least one complete, concrete example with actual tool slugs and real argument values (even if hypothetical) to demonstrate the full pattern end-to-end
Consider adding a brief example of handling pagination tokens mentioned in Known Pitfalls to make that guidance more actionable
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, avoiding explanations of concepts Claude already knows. Every section serves a purpose with no padding or unnecessary context about what Apipie AI is or how APIs work. | 3 / 3 |
Actionability | Provides concrete tool call patterns with specific parameters, but the examples are pseudocode-like structures rather than fully executable code. The argument placeholders and comments like '/* schema-compliant args from search results */' reduce copy-paste readiness. | 2 / 3 |
Workflow Clarity | Clear 3-step workflow with explicit sequencing (discover → check connection → execute). Includes validation checkpoint ('Confirm connection status shows ACTIVE before running any workflows') and the Known Pitfalls section provides error prevention guidance. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections progressing from prerequisites to setup to workflow to pitfalls. External reference to toolkit docs is one level deep and clearly signaled. Quick reference table provides efficient navigation for common operations. | 3 / 3 |
Total | 11 / 12 Passed |