ideogram-deploy-integration
Deploy Ideogram integrations to Vercel, Cloud Run, and Docker platforms. Use when deploying Ideogram-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy ideogram", "ideogram Vercel", "ideogram production deploy", "ideogram Cloud Run", "ideogram Docker".
84
82%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
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 clearly defines its scope (Ideogram deployment to specific platforms), provides explicit trigger guidance with natural user phrases, and maintains strong distinctiveness. It follows best practices by using third person voice, listing concrete actions, and including both 'Use when' and 'Trigger with' clauses.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: deploying to Vercel, Cloud Run, and Docker platforms; configuring platform-specific secrets; setting up deployment pipelines. These are clear, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (deploy Ideogram integrations to Vercel, Cloud Run, Docker; configure secrets; set up pipelines) and 'when' (explicit 'Use when' clause plus 'Trigger with phrases' section providing concrete trigger guidance). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms including 'deploy ideogram', 'ideogram Vercel', 'ideogram production deploy', 'ideogram Cloud Run', 'ideogram Docker'. These are terms users would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: Ideogram-specific deployments to specific platforms. The combination of 'Ideogram' with specific deployment targets (Vercel, Cloud Run, Docker) makes it very unlikely to conflict with generic deployment or generic Ideogram skills. | 3 / 3 |
Total | 12 / 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 deployment skill with fully executable code for three platforms and a useful error handling table. Its main weaknesses are the monolithic structure (all three platforms inline rather than split into separate files) and the lack of explicit validation/verification steps between deployment stages. Token efficiency could be improved by extracting platform-specific details into referenced files.
Suggestions
Add explicit validation checkpoints after each deployment step (e.g., 'Verify deployment: curl https://your-endpoint/api/health and confirm status is healthy before proceeding')
Split platform-specific deployment details (Vercel, Cloud Run, Docker) into separate referenced files, keeping only a brief overview and links in the main SKILL.md
Remove boilerplate that Claude already knows (standard Dockerfile patterns, basic docker-compose structure) and focus only on Ideogram-specific configuration concerns
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with executable code and useful tables, but includes some elements Claude already knows (e.g., basic Dockerfile patterns, standard docker-compose structure). The health check endpoint and some boilerplate could be trimmed. Overall reasonably lean but not maximally token-efficient. | 2 / 3 |
Actionability | Fully executable code examples across all three platforms (Vercel, Cloud Run, Docker). The TypeScript endpoints, Dockerfile, docker-compose.yml, bash deployment commands, and vercel.json are all copy-paste ready with specific configurations for the Ideogram use case. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, but there are no explicit validation checkpoints between steps. For deployment operations (which are potentially destructive), there should be verification steps like 'confirm deployment succeeded' or 'test the endpoint after deploy'. The health check is provided but not integrated into a validate-then-proceed workflow. | 2 / 3 |
Progressive Disclosure | The content is fairly long with full inline code for three different platforms. A user deploying to only one platform must read through all three. The platforms could be split into separate reference files with the SKILL.md providing a concise overview and links. The 'Next Steps' reference to ideogram-webhooks-events is good but the main content is monolithic. | 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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