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 excels across all dimensions. It clearly specifies the concrete actions (deploying to three specific platforms, configuring secrets, setting up pipelines), provides explicit 'Use when' and 'Trigger with' clauses, and occupies a distinct niche combining Ideogram with specific deployment targets. The description is concise yet comprehensive.
| 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' providing concrete trigger guidance). | 3 / 3 |
Trigger Term Quality | Includes excellent natural trigger terms that users would actually say: 'deploy ideogram', 'ideogram Vercel', 'ideogram production deploy', 'ideogram Cloud Run', 'ideogram Docker'. These cover the main platform variations and deployment-related phrases. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific combination of 'Ideogram' with deployment platforms (Vercel, Cloud Run, Docker). This is a clear niche that is unlikely to conflict with generic deployment skills or other API integration 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, highly actionable deployment skill with complete, executable code for three platforms. Its main weaknesses are the lack of explicit validation/verification checkpoints in the deployment workflow and the monolithic structure that inlines all three platform configurations rather than splitting them into referenced files. The error handling table is a nice touch but would be more effective if integrated as checkpoints within the workflow steps.
Suggestions
Add explicit validation checkpoints after each deployment step, e.g., 'Verify: curl the health endpoint and confirm 200 response before proceeding' and 'Verify: run `vercel env ls` to confirm secrets are set'.
Consider splitting platform-specific deployment details (Vercel, Cloud Run, Docker) into separate referenced files, keeping SKILL.md as a concise overview with the shared API endpoint code and links to platform guides.
Remove the health check endpoint code or move it to a reference file—it's standard boilerplate that adds length without deployment-specific insight.
| 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 deployment targets (Vercel, Cloud Run, Docker). Includes complete TypeScript endpoints, Dockerfile, docker-compose.yml, bash deployment commands, and vercel.json configuration—all copy-paste ready with specific commands and flags. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, but there are no explicit validation checkpoints between steps. For deployment operations (which are destructive/production-impacting), there should be verification steps like 'test the health endpoint after deploy' or 'verify secrets are set before deploying'. The error handling table is helpful but reactive rather than integrated into the workflow. | 2 / 3 |
Progressive Disclosure | The content is structured with clear sections and references external resources and a related skill (ideogram-webhooks-events). However, the inline content is quite long (~150 lines of code) covering three distinct deployment platforms that could be split into separate reference files, with the SKILL.md serving as a lighter overview pointing to platform-specific guides. | 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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- Reviewed
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