ideogram-performance-tuning
Optimize Ideogram API performance with caching, model selection, and parallel generation. Use when experiencing slow generation, implementing caching strategies, or optimizing throughput for Ideogram integrations. Trigger with phrases like "ideogram performance", "optimize ideogram", "ideogram latency", "ideogram caching", "ideogram slow", "ideogram speed".
80
77%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/ideogram-pack/skills/ideogram-performance-tuning/SKILL.mdQuality
Discovery
89%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 clearly identifies its niche (Ideogram API performance optimization), provides explicit 'Use when' guidance, and includes a comprehensive list of trigger phrases. The main weakness is that the specific capabilities could be slightly more concrete — listing exact optimization techniques rather than categories like 'caching strategies'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Ideogram API performance) and some actions (caching, model selection, parallel generation), but these are somewhat high-level and not fully concrete — e.g., 'caching strategies' is vague compared to listing specific caching techniques. | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize Ideogram API performance with caching, model selection, parallel generation) and 'when' (experiencing slow generation, implementing caching strategies, optimizing throughput) with explicit trigger phrases. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms including 'ideogram performance', 'optimize ideogram', 'ideogram latency', 'ideogram caching', 'ideogram slow', 'ideogram speed' — these are phrases users would naturally say when encountering this problem. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive — targets a very specific niche (Ideogram API performance optimization) with unique trigger terms that are unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable skill with executable TypeScript code covering caching, parallel generation, and CDN delivery for Ideogram API optimization. Its main weaknesses are the lack of validation/verification checkpoints in the workflow (e.g., verifying cache writes, confirming CDN uploads) and the inline bulk of code that could benefit from progressive disclosure into separate files. The performance baselines table and error handling table are well-structured and useful.
Suggestions
Add explicit validation checkpoints after key operations — e.g., verify the cached file was written correctly, confirm S3 upload succeeded before returning the CDN URL, and add a retry loop for 429 errors in the queue.
Move the longer code blocks (cache layer, parallel generation) into separate referenced files (e.g., CACHE.md, PARALLEL.md) and keep only concise usage examples inline in SKILL.md.
Remove the 'Output' section which merely restates what the steps already demonstrate — it adds no new information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with useful code examples and tables, but includes some unnecessary elements like the 'Output' section that just restates what the steps already cover, and some inline comments that are redundant given the surrounding context. The performance tips section is lean and valuable. | 2 / 3 |
Actionability | Fully executable TypeScript code for each step — caching, parallel generation, CDN upload — with concrete API endpoints, headers, and configuration objects. The code is copy-paste ready with real library imports and proper error handling. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced (speed selection → caching → parallel generation → CDN), but there are no explicit validation checkpoints. For example, there's no step to verify cache integrity, no validation after CDN upload, and no feedback loop for handling the 429 rate limit errors mentioned in the error table beyond reducing concurrency. | 2 / 3 |
Progressive Disclosure | The content has good section structure with a clear overview, step-by-step instructions, and reference tables. However, the lengthy code blocks (especially the 40+ line cache layer) could be split into separate reference files, and the single 'Next Steps' reference to cost-tuning is minimal. The Resources section provides useful external links. | 2 / 3 |
Total | 9 / 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 | |
- Commit
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