ideogram-hello-world
Create a minimal working Ideogram image generation example. Use when starting a new Ideogram integration, testing your setup, or learning basic Ideogram API patterns. Trigger with phrases like "ideogram hello world", "ideogram example", "ideogram quick start", "simple ideogram code", "first ideogram image".
64
77%
Does it follow best practices?
Impact
—
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-hello-world/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 completeness and distinctiveness. It clearly communicates both purpose and trigger conditions, and the explicit trigger phrases are natural and varied. The main weakness is that the capability description could be more specific about what concrete actions the skill performs beyond 'create a minimal working example'.
Suggestions
Add more specific concrete actions to improve specificity, e.g., 'Generates a working code snippet that authenticates with the Ideogram API, sends a text prompt, and saves the resulting image.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | It names the domain (Ideogram image generation) and a general action (create a minimal working example), but doesn't list multiple specific concrete actions like API authentication, prompt construction, image saving, etc. | 2 / 3 |
Completeness | Clearly answers both 'what' (create a minimal working Ideogram image generation example) and 'when' (starting a new integration, testing setup, learning basic API patterns) with explicit trigger phrases. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger phrases users would say: 'ideogram hello world', 'ideogram example', 'ideogram quick start', 'simple ideogram code', 'first ideogram image'. These are realistic phrases a user would type. | 3 / 3 |
Distinctiveness Conflict Risk | Very distinct niche — specifically targets Ideogram API hello-world/quickstart scenarios. The 'ideogram' keyword combined with 'hello world'/'quick start' framing makes it 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 hello-world skill with fully executable code examples and good reference material (parameter table, response shape, error handling). Its main weaknesses are redundancy across three implementations of the same API call, a mentioned but undemonstrated V3 endpoint, and lack of validation checkpoints. Trimming to one primary language example with others referenced externally would improve token efficiency.
Suggestions
Remove one of the TypeScript/Python examples or move them to separate bundle files to reduce inline redundancy and improve conciseness.
Either demonstrate the V3 `/v1/ideogram-v3/generate` endpoint mentioned in the overview or remove the reference to avoid a gap between documentation and examples.
Add a brief validation step after image download (e.g., check file size > 0, verify PNG header) to strengthen the workflow for a potentially flaky network operation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill provides three separate implementations (curl, TypeScript, Python) for essentially the same operation, which is somewhat redundant for a hello-world skill. The overview mentions V3 endpoint but never demonstrates it. The parameter reference table and error handling table add useful value but the overall content could be tightened—one language example plus curl would suffice. | 2 / 3 |
Actionability | All code examples are fully executable and copy-paste ready with proper error handling, imports, and file I/O. The curl command, TypeScript, and Python examples are complete and include immediate download of the generated image. Error handling table provides specific HTTP status codes with solutions. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced (curl test → TypeScript → Python) but there are no validation checkpoints between steps. The overview mentions V3 endpoint but no step demonstrates it, creating a gap. There's no explicit verification step to confirm the generated image is valid or that the download succeeded beyond the implicit file write. | 2 / 3 |
Progressive Disclosure | The content is reasonably well-structured with clear sections, a quick reference table, and links to external resources. However, with no bundle files, the three full code examples inline make the document longer than necessary—the TypeScript and Python examples could be separate referenced files. The 'Next Steps' section provides good navigation to the next skill. | 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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