ideogram-sdk-patterns
Apply production-ready Ideogram API patterns for TypeScript and Python. Use when implementing Ideogram integrations, refactoring API usage, or establishing team coding standards for Ideogram. Trigger with phrases like "ideogram SDK patterns", "ideogram best practices", "ideogram code patterns", "idiomatic ideogram", "ideogram wrapper".
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-sdk-patterns/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-structured skill description with strong trigger terms and clear 'when to use' guidance. Its main weakness is that the specific capabilities are somewhat abstract — it describes applying 'patterns' and 'best practices' rather than listing concrete actions like generating images, handling API keys, or managing rate limits. Overall it would perform well in skill selection due to the distinctive Ideogram focus and explicit trigger phrases.
Suggestions
Add more concrete actions beyond 'patterns' — e.g., 'generate images via Ideogram API, handle authentication, manage API responses, implement error handling' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | It names the domain (Ideogram API patterns for TypeScript and Python) and mentions some actions (implementing integrations, refactoring API usage, establishing coding standards), but these are fairly high-level and don't list concrete specific actions like 'generate images', 'handle authentication', or 'manage API responses'. | 2 / 3 |
Completeness | Clearly answers both 'what' (apply production-ready Ideogram API patterns for TypeScript and Python) and 'when' (implementing integrations, refactoring API usage, establishing team coding standards) with explicit trigger phrases provided. | 3 / 3 |
Trigger Term Quality | Includes explicit trigger phrases like 'ideogram SDK patterns', 'ideogram best practices', 'ideogram code patterns', 'idiomatic ideogram', 'ideogram wrapper' — these are natural terms a developer would use. Also mentions TypeScript and Python which are relevant keywords. | 3 / 3 |
Distinctiveness Conflict Risk | Very distinct niche — Ideogram API specifically is unlikely to conflict with other skills. The combination of 'Ideogram' + 'API patterns' + specific languages creates a clear, unique trigger space. | 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 production-ready code patterns for Ideogram API integration. Its main strengths are the executable, copy-paste-ready code examples covering multiple concerns (client, retry, validation, download). Weaknesses include the length/verbosity of having both TypeScript and Python full implementations inline, lack of explicit validation checkpoints in the workflow, and some redundancy between the code and the summary table/output sections.
Suggestions
Add explicit validation checkpoints between steps, e.g., 'Verify the generate response contains data before attempting download' with a concrete code snippet showing the check.
Move the Python client and multi-tenant factory into separate referenced files (e.g., PYTHON_CLIENT.md, MULTI_TENANT.md) to keep SKILL.md as a concise overview with the core TypeScript pattern.
Remove the 'Output' section and 'Error Handling' summary table, as they merely restate what the code already demonstrates.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with executable code, but includes some unnecessary elements like the multi-tenant factory pattern and the summary table that restate what the code already demonstrates. The Python client partially duplicates the TypeScript client without adding much new information. Some sections like 'Output' just summarize what was already shown. | 2 / 3 |
Actionability | All code examples are fully executable and copy-paste ready with complete implementations. The TypeScript client, retry wrapper, Zod validation, and Python client are all concrete, specific, and immediately usable with real file paths and API endpoints. | 3 / 3 |
Workflow Clarity | Steps are numbered and sequenced logically (client → retry → validation → Python alternative → multi-tenant), but there are no explicit validation checkpoints or feedback loops. For an API integration involving network calls and image downloads, there's no guidance on verifying successful generation, checking downloaded file integrity, or handling partial failures in batch scenarios. | 2 / 3 |
Progressive Disclosure | The content is structured with clear sections and references external resources, but the skill is quite long (~180 lines of code) and could benefit from splitting the Python client and multi-tenant patterns into separate referenced files. The inline code is heavy for a SKILL.md overview. | 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 | |
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