Content
70%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a solid structural framework for All Images AI automation with clear workflow sequencing and good pitfall documentation. However, it relies heavily on placeholder syntax rather than concrete executable examples, and contains some redundancy between sections that could be consolidated for better token efficiency.
Suggestions
Replace placeholder arguments like '{/* schema-compliant args from search results */}' with at least one concrete, realistic example showing actual field names and values
Consolidate the 'Tool Discovery' and 'Core Workflow Pattern Step 1' sections to eliminate redundancy
Add a concrete end-to-end example showing a complete workflow with real tool slugs and arguments that might be returned from RUBE_SEARCH_TOOLS
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably efficient but includes some redundancy - the 'Core Workflow Pattern' section largely repeats information already covered in Setup and Tool Discovery sections. The quick reference table adds value but some explanatory text could be tightened. | 2 / 3 |
Actionability | Provides concrete tool call patterns with parameter examples, but these are pseudocode-style representations rather than fully executable code. The arguments shown are placeholders (e.g., 'schema-compliant args from search results') rather than real examples with actual values. | 2 / 3 |
Workflow Clarity | Clear 3-step workflow with explicit sequencing (discover → check connection → execute). Includes validation checkpoint (verify ACTIVE status before executing) and the Known Pitfalls section provides good error prevention guidance. | 3 / 3 |
Progressive Disclosure | Well-structured 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 experienced users. | 3 / 3 |
Total | 10 / 12 Passed |