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prismarine-skill

Build, define, and manage DynamoDB models and client code using Prismarine, the model-driven DynamoDB ORM for EasySAM and Python. Always use this skill when creating Prismarine clusters, defining @c.model or @c.index decorators, configuring resources.yaml prismarine settings, handling TypedDict or Pydantic modelling modes, or performing CRUD database operations via prismarine_client.

71

Quality

86%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

80%Weight 40%Scale 1-5

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

The body is well-structured, actionable, and well-linked to reference files, with concrete executable examples throughout. Its main weakness is the absence of explicit validation/verification checkpoints in the database and deploy workflow.

Suggestions

Add explicit validation checkpoints to the workflow, e.g. after generate verify the generated prismarine_client.py and CloudFormation template, and after deploy verify tables exist before running CRUD.

Include a validate/verify-then-proceed feedback loop for destructive or batch CRUD operations (e.g. confirm item state before put/delete) to lift workflow_clarity above the database cap.

Trim a few explanatory sentences in the Core Directives (e.g. the CloudFormation preprocessing rationale) to tighten conciseness.

DimensionReasoningScore

Conciseness

Lean and directive-driven with Prismarine-specific rules Claude would not already know; a few explanatory prose passages could be tightened but most tokens earn their place.

4 / 5

Actionability

Fully executable, copy-paste-ready examples for model definitions, resources.yaml, generate/deploy commands, and CRUD operations with imports and method calls covering common cases.

5 / 5

Workflow Clarity

A clear four-step sequence (define, configure, generate/deploy, CRUD) is present, but database and deploy operations lack explicit validation checkpoints; per the database-operations cap this cannot exceed 3.

3 / 5

Progressive Disclosure

The body is a concise overview with four clearly-signaled, one-level-deep references (easysam.md, model-definition.md, crud-api.md, cli-usage.md), all verified to exist, providing easy navigation.

5 / 5

Total

17

/

20

Passed

Description

92%Weight 40%Scale 1-5

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, specific description that clearly states what the skill does and when to use it, with concrete Prismarine-specific trigger terms. It is comprehensive and highly distinct from other skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions (build, define, manage, create clusters, define decorators, configure settings, handle modelling modes, perform CRUD) with comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Explicitly answers both 'what' (build/define/manage DynamoDB models and client code via Prismarine) and 'when' (an 'Always use this skill when...' clause with concrete trigger phrases).

5 / 5

Trigger Term Quality

Good keyword coverage including synonyms (TypedDict/Pydantic, @c.model/@c.index) and natural Prismarine phrases, though a few generic variations (bare 'DynamoDB', 'ORM') are absent.

4 / 5

Distinctiveness Conflict Risk

Prismarine is a narrow niche (DynamoDB ORM for EasySAM) and its triggers (@c.model, prismarine_client, resources.yaml prismarine) are highly specific with minimal overlap risk.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
scartill/easysam-skills
Reviewed

Table of Contents

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