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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".

72

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

80%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Highly actionable and concise deployment guidance with complete executable code for three platforms. Its weaknesses are structural rather than instructional: the production deployment workflow lacks explicit validation checkpoints, and the content is a monolith with no bundle-file progressive disclosure.

Suggestions

Add an explicit validation/verification checkpoint to the deployment steps — e.g., after deploy, hit the /health endpoint and only report success on HTTP 200 — to give the risky production deploy a validate-fix-retry loop.

Split the per-platform recipes (Vercel, Cloud Run, Docker) into referenced files under references/ (e.g., references/vercel.md, references/cloud-run.md, references/docker.md) and keep SKILL.md as a concise overview that links to them one level deep.

In the Error Handling table, tie each row back to a concrete diagnostic or verification command so recovery steps are actionable rather than descriptive.

DimensionReasoningScore

Conciseness

The body is lean and code-forward, assumes Claude's competence, and avoids explaining concepts Claude already knows; the Overview compresses key concerns into a single sentence with no padding.

3 / 3

Actionability

Provides fully executable, copy-paste-ready guidance: a complete Next.js route handler, vercel/gcloud/docker CLI commands, a Dockerfile, docker-compose.yml, and a health endpoint.

3 / 3

Workflow Clarity

Steps are clearly numbered and sequenced across platform paths, but there are no explicit validation/verification checkpoints in the deployment flow; the error-handling table is reactive rather than a validate-fix-retry loop, which caps this at 2 for a risky production deployment task.

2 / 3

Progressive Disclosure

No references/scripts/assets bundle files exist; the three full per-platform deployment recipes are kept inline in a single ~200-line file rather than split into well-signaled one-level-deep references, so it is organized but monolithic.

2 / 3

Total

10

/

12

Passed

Description

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.

A strong, third-person description that states concrete capabilities, gives an explicit 'Use when' trigger clause, and lists natural trigger phrases across all three supported platforms. No vague fluff or over-claims; distinct from generic deployment skills.

DimensionReasoningScore

Specificity

Names three concrete platforms (Vercel, Cloud Run, Docker) and multiple specific actions (deploy integrations, configure platform-specific secrets, set up deployment pipelines), matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both 'what' (deploy Ideogram integrations to three platforms) and 'when' via a 'Use when...' clause, matching the score-3 example structure.

3 / 3

Trigger Term Quality

Provides good coverage of natural phrases a user would say — 'deploy ideogram', 'ideogram Vercel', 'ideogram production deploy', 'ideogram Cloud Run', 'ideogram Docker' — across the supported platforms.

3 / 3

Distinctiveness Conflict Risk

The 'Ideogram' qualifier combined with platform-specific deploy triggers carves out a clear niche unlikely to conflict with generic deployment skills.

3 / 3

Total

12

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.