all-images-ai-automation
Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
Install with Tessl CLI
npx tessl i github:haniakrim21/everything-claude-code --skill all-images-ai-automation50
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Discovery
7%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description is severely lacking in specificity and user-facing clarity. It relies on product/tool names rather than describing actual capabilities, contains no natural trigger terms users would say, and lacks explicit guidance on when Claude should select this skill.
Suggestions
Replace 'All Images AI tasks' with specific actions like 'Generate images, edit photos, apply filters, resize images, remove backgrounds'
Add a 'Use when...' clause with natural trigger terms like 'create image', 'edit photo', 'AI image generation', 'picture editing'
Remove implementation details ('Always search tools first for current schemas') and focus on user-facing capabilities
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description uses vague language like 'Automate All Images AI tasks' without specifying what concrete actions are performed. No specific capabilities like 'generate images', 'edit photos', or 'resize images' are listed. | 1 / 3 |
Completeness | The 'what' is extremely vague ('AI tasks'), and there is no 'Use when...' clause or equivalent trigger guidance. 'Always search tools first' is an implementation instruction, not usage guidance. | 1 / 3 |
Trigger Term Quality | Contains technical jargon ('Rube MCP', 'Composio', 'schemas') that users would not naturally say. 'All Images AI' is unclear branding rather than natural search terms users would use. | 1 / 3 |
Distinctiveness Conflict Risk | The specific tool names 'Rube MCP' and 'Composio' provide some distinctiveness, but 'Images AI tasks' is generic enough to potentially conflict with other image-related skills. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
70%Reviews 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 |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Reviewed
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