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deepgram-deploy-integration

Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up Deepgram in Docker/Kubernetes/serverless. Trigger: "deploy deepgram", "deepgram docker", "deepgram kubernetes", "deepgram production deploy", "deepgram cloud run", "deepgram lambda".

76

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

92%

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 efficient, with a clear sequenced workflow and validation for a deployment task. Its weak point is progressive disclosure: the duplicate references/implementation.md bundle file is unreferenced, leaving a monolithic SKILL.md.

Suggestions

Link references/implementation.md from the body (e.g., a '## Advanced' section pointing to it) and remove the duplicated Dockerfile/compose/k8s blocks from SKILL.md to keep the main file a lean overview.

De-duplicate: implementation.md repeats the same Dockerfile, compose, k8s, and deploy script already inline — collapse to one canonical source per config to avoid drift.

If keeping configs inline, delete the redundant bundle file rather than leaving it orphaned and un-signaled.

DimensionReasoningScore

Conciseness

The body is dense with executable configs and commands and avoids explaining concepts Claude already knows; every token largely earns its place despite the length.

3 / 3

Actionability

Every step ships fully executable, copy-paste-ready code or commands (Dockerfile, compose, k8s manifests, Lambda handler, Cloud Run service, deploy script).

3 / 3

Workflow Clarity

A clear six-step sequence with validation checkpoints in the deploy script (set -euo pipefail, rollout status, post-deploy smoke test) and an error-handling table for recovery.

3 / 3

Progressive Disclosure

All configurations are inline and fairly monolithic; the bundled references/implementation.md exists and largely duplicates the body but is never linked or signaled from SKILL.md, so navigation and content split are underdeveloped.

2 / 3

Total

11

/

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.

The description is concise, third-person, and explicitly states both capabilities and natural trigger phrases, cleanly answering what and when. It is specific to Deepgram deployment and unlikely to collide with unrelated skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'deploying to cloud platforms, configuring containers, or setting up Deepgram in Docker/Kubernetes/serverless' — matching the highest anchor.

3 / 3

Completeness

Explicitly answers both 'what' (Deploy Deepgram integrations to production environments) and 'when' (Use when...) with explicit triggers.

3 / 3

Trigger Term Quality

Provides natural trigger phrases a user would actually say ('deploy deepgram', 'deepgram docker', 'deepgram kubernetes', 'deepgram cloud run', 'deepgram lambda') with good coverage.

3 / 3

Distinctiveness Conflict Risk

Deepgram-specific deployment niche with distinct triggers is unlikely to conflict with other 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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