ideogram-performance-tuning
Optimize Ideogram API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Ideogram integrations. Trigger with phrases like "ideogram performance", "optimize ideogram", "ideogram latency", "ideogram caching", "ideogram slow", "ideogram batch".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill ideogram-performance-tuning94
Quality
93%
Does it follow best practices?
Impact
99%
1.57xAverage score across 3 eval scenarios
Discovery
100%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 is a well-crafted skill description that excels across all dimensions. It provides specific optimization techniques, comprehensive trigger terms that match natural user language, explicit 'Use when' and 'Trigger with' clauses, and clear distinctiveness through consistent Ideogram-specific terminology. The description follows best practices by using third person voice and being concise yet complete.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'caching, batching, and connection pooling' - these are distinct, actionable optimization techniques rather than vague language. | 3 / 3 |
Completeness | Clearly answers both what (optimize with caching, batching, connection pooling) AND when (slow API responses, implementing caching, optimizing throughput) with explicit 'Use when' and 'Trigger with' clauses. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms including 'ideogram performance', 'optimize ideogram', 'ideogram latency', 'ideogram caching', 'ideogram slow', 'ideogram batch' - these match what users would naturally say when experiencing performance issues. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with clear niche - specifically targets Ideogram API performance optimization, unlikely to conflict with general API skills or other image generation tools due to explicit 'Ideogram' naming throughout. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, actionable skill with excellent code examples covering caching, batching, and connection pooling. The content is concise and well-structured. The main weakness is the workflow section, which lists steps without validation checkpoints to verify optimizations are working or guidance on measuring improvement against the baseline.
Suggestions
Add validation steps to the workflow, such as 'Verify cache hit rate > 80%' or 'Compare P50 latency before/after'
Include a feedback loop in the Instructions for when optimizations don't improve performance (e.g., 'If latency unchanged, check cache key uniqueness')
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing executable code examples without explaining basic concepts Claude already knows. Every section serves a purpose with no padding or unnecessary context. | 3 / 3 |
Actionability | All code examples are fully executable TypeScript with proper imports, types, and realistic implementations. The caching, batching, and connection pooling examples are copy-paste ready. | 3 / 3 |
Workflow Clarity | Steps are listed in the Instructions section but lack validation checkpoints. There's no guidance on verifying that caching is working, measuring improvement, or feedback loops for troubleshooting if optimizations don't help. | 2 / 3 |
Progressive Disclosure | Content is well-organized with clear sections, a helpful latency benchmark table upfront, and appropriate references to external resources and related skills at the end. No unnecessary nesting. | 3 / 3 |
Total | 11 / 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 |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Reviewed
Table of Contents
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