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aws-dynamodb

AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python

54

Quality

61%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/aws-dynamodb/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%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.

A highly actionable, code-rich reference that is copy-paste ready, but it is a long monolithic file with some over-explanation of basics and no validation checkpoints around destructive/batch operations.

Suggestions

Move the CLI Quick Reference and Python (boto3) sections into separate reference files (e.g. references/cli.md, references/python.md) and link to them from SKILL.md to improve progressive disclosure.

Add explicit validation checkpoints after batch/transactional writes (e.g. re-query to confirm, handle UnprocessedItems in BatchWrite) so destructive operations have a feedback loop.

Trim the introductory paragraph and the 'Key Concepts' table, which restate DynamoDB fundamentals Claude already knows.

DimensionReasoningScore

Conciseness

Mostly concrete code and patterns, but the intro line ('fully managed NoSQL database designed for single-digit millisecond performance') and the 'Key Concepts' table re-explain basics Claude already knows and could be trimmed.

3 / 5

Actionability

Fully executable, copy-paste-ready TypeScript and Python examples cover CRUD, batch, transactions, GSI patterns, and client setup comprehensively across common cases.

5 / 5

Workflow Clarity

Content is reference-style rather than a sequenced workflow, and destructive/batch database operations (BatchWrite, TransactWrite, Delete) lack validation or feedback-loop checkpoints, capping this at 3.

3 / 5

Progressive Disclosure

Sections are well-headed, but the ~660-line body is monolithic with no bundle files — CLI reference, Python ops, and GSI patterns that could live in separate referenced files are all inlined.

3 / 5

Total

14

/

20

Passed

Description

58%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 specific, domain-scoped description that clearly conveys what the skill covers, but it lacks an explicit in-description use-trigger and leans on some technical jargon over natural user phrasing.

Suggestions

Append an explicit trigger clause to the description, e.g. 'Use when designing or querying DynamoDB tables, modeling access patterns, or writing AWS SDK v3 data operations.'

Soften jargon by adding natural synonyms users actually say (e.g. 'NoSQL tables', 'database access patterns') alongside 'GSI' and 'SDK v3'.

Confirm the when-to-use frontmatter field is honored by the loader; if not, fold the trigger guidance into description itself.

DimensionReasoningScore

Specificity

Names the domain ('AWS DynamoDB') and several concrete capability areas ('single-table design, GSI patterns, SDK v3 TypeScript/Python'), giving specific rather than generic scope, with only minor coverage gaps.

4 / 5

Completeness

The description field gives a clear 'what' but contains no 'Use when…' trigger clause — the when-guidance lives in a separate frontmatter field, so completeness is capped at 3 per the rubric.

3 / 5

Trigger Term Quality

'DynamoDB' is a natural term users say, but 'GSI patterns' and 'SDK v3' are technical jargon and common synonyms/variations (NoSQL, database, tables) are missing.

3 / 5

Distinctiveness Conflict Risk

The DynamoDB niche is clear and distinct, with only minor overlap risk against broader AWS-SDK skills.

4 / 5

Total

14

/

20

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

skill_md_line_count

SKILL.md is long (670 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
alinaqi/claude-bootstrap
Reviewed

Table of Contents

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