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exa-deploy-integration

Deploy Exa integrations to Vercel, Docker, and Cloud Run platforms. Use when deploying Exa-powered applications to production, configuring platform-specific secrets, or building search API endpoints. Trigger with phrases like "deploy exa", "exa Vercel", "exa production deploy", "exa Cloud Run", "exa Docker".

72

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

80%Weight 40%Scale 1-3

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

The body is highly actionable and token-efficient, with complete executable code for three platforms plus caching and a compact error table. Its weaknesses are structural: the production deployment workflow lacks explicit validation checkpoints, and the substantial per-platform content is monolithic with no progressive disclosure into reference files.

Suggestions

Add explicit validation checkpoints to the deployment workflow — e.g., after each platform deploy, verify the endpoint (curl the /health route, confirm a 200 and that EXA_API_KEY resolves) before declaring success, turning the reactive Error Handling table into a verify-then-proceed feedback loop.

Split the per-platform guides into one-level-deep reference files (e.g., references/vercel.md, references/docker.md, references/cloud-run.md) and keep SKILL.md as a concise overview that links to them, so the body is no longer a monolithic ~180-line wall of code.

Move the Redis production-caching pattern into its own reference (references/caching.md) and reference it from the main flow, reserving the SKILL.md body for the core deploy sequence and pointing advanced readers to the cache guide.

DimensionReasoningScore

Conciseness

Lean prose that assumes Claude's competence — the Overview is a single sentence, Prerequisites are three tight bullets, and the body never explains what Exa, Vercel, or Docker are; every token is concrete code or a compact error table, matching the level-3 lean-and-efficient anchor rather than the padded level-2 case.

3 / 3

Actionability

Fully executable, copy-paste-ready artifacts: a complete Vercel edge function, a complete Dockerfile, an Express server with a /health endpoint, copy-paste gcloud/vercel commands, and a Redis caching function — matching the level-3 anchor of specific, executable code rather than the pseudocode of level 2.

3 / 3

Workflow Clarity

The four deployment steps are clearly sequenced (Step 1–4), but production deployment is outward-facing and the workflow has no explicit validation checkpoint (e.g., "verify the deployed endpoint responds 200" or "confirm the secret is accessible") — the Error Handling table is reactive, not a verify-then-proceed loop, so per the destructive/batch-operations guideline workflow clarity is capped at 2 rather than reaching the level-3 checkpoint anchor.

2 / 3

Progressive Disclosure

No bundle files exist and none are referenced; the ~180-line body keeps all four per-platform deployment guides plus the Redis cache inline in one file, so content that could be split into per-platform reference files is inline, matching the level-2 anchor of decent section structure but content that should be separate inline, rather than the level-3 well-signaled one-level-deep reference pattern.

2 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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, well-structured description that states concrete capabilities, gives an explicit 'Use when' trigger clause, and lists natural trigger phrases for a distinct Exa-deployment niche. No significant weaknesses; it avoids vague fluff and first/second-person voice.

DimensionReasoningScore

Specificity

Names multiple concrete actions across three named platforms — "Deploy Exa integrations to Vercel, Docker, and Cloud Run platforms", "configuring platform-specific secrets", "building search API endpoints" — which matches the anchor listing multiple specific concrete actions, not the partial coverage of level 2.

3 / 3

Completeness

Explicitly answers both what (deploying Exa integrations to three platforms, configuring secrets, building endpoints) and when via an explicit "Use when deploying Exa-powered applications to production..." clause plus a trigger-phrase list, satisfying the level-3 anchor; the required 'Use when' clause is present so it is not capped at 2.

3 / 3

Trigger Term Quality

Provides natural phrases a user would actually say — "deploy exa", "exa Vercel", "exa production deploy", "exa Cloud Run", "exa Docker" — giving good coverage of the deploy-to-platform phrasings users would naturally invoke, matching the level-3 anchor rather than the sparse level-2 case.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (Exa deployment to specific platforms) with distinct, brand-qualified triggers like "deploy exa" and "exa Cloud Run", making it unlikely to fire for unrelated skills and matching the level-3 clear-niche anchor.

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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