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dbt-transformation-patterns

Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.

53

Quality

67%

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tessl review fix ./plugins/antigravity-bundle-data-engineering/skills/dbt-transformation-patterns/SKILL.md

The canonical home for this skill is dbt-transformation-patterns in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

53%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 exceptionally lean and well-organized with sensible use/don't-use-when sections, but it delegates all concrete guidance to a playbook file that is missing from the bundle, leaving only vague one-line directives. Restoring or creating the referenced file (with concrete conventions, configs, and example SQL) is the highest-leverage fix; adding validation checkpoints would round it out.

Suggestions

Fix the broken progressive-disclosure promise: either include the referenced `resources/implementation-playbook.md` in the bundle or correct the path — currently the pointer leads to a nonexistent file and all detailed content is unavailable.

Add minimal inline concrete guidance so the skill is actionable on its own: naming conventions (e.g., stg_/int_/fct_/dim_ prefixes), a sample dbt_project.yml config block, an example test, and an incremental-model materialization snippet.

Incorporate validation checkpoints into the instructions (e.g., run `dbt test` and only proceed on pass, or use `dbt build` to gate loads) since dbt operations are database/batch operations that need feedback loops.

DimensionReasoningScore

Conciseness

The ~38-line body is lean and functional: use/don't-use-when lists, terse directive bullets, and a single resource pointer, with no over-explanation of dbt concepts Claude already knows. It matches anchor 5 ('lean and efficient; every token earns its place'), with only a trivially duplicated intro line keeping it from being worse than anchor 4 territory.

5 / 5

Actionability

Instructions like "Define model layers, naming, and ownership" and "Choose materializations and incremental strategies" are high-level directives with no code, commands, naming conventions, or config examples. The promised concrete detail is deferred to `resources/implementation-playbook.md`, which does not exist in the bundle, so no specific steps to execute are available anywhere. This matches anchor 2 ('minimal concrete guidance; high-level hints but missing the specific steps') and falls short of anchor 3's partial concrete detail.

2 / 5

Workflow Clarity

The instruction bullets imply a loose progression (structure → tests → materializations → CI optimization) but present no explicit sequence or validation checkpoints. Because dbt work involves database/batch operations, the missing feedback loops cap workflow clarity at 3 per the scoring notes, matching anchor 3 ('steps listed but validation gaps; checkpoints missing or implicit') rather than anchor 4.

3 / 5

Progressive Disclosure

The body's structure is clean (overview plus a single clearly signaled one-level reference), but that reference — `resources/implementation-playbook.md` — does not exist in the bundle (no resources/, references/, scripts/, or assets/ directories are present), leaving a skeleton with no detail layer behind the pointer. Scored against the actual bundle structure, this broken reference matches anchor 2 more than anchor 3's 'references present but not clearly signaled', since navigation leads nowhere.

2 / 5

Total

12

/

20

Passed

Description

66%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.

The description identifies a clear niche (dbt) and enumerates relevant capability areas in third person, but it reads more as a topical summary than an action list and entirely lacks trigger guidance. Adding an explicit 'Use when...' clause with natural dbt-specific phrasings would raise both completeness and trigger term quality.

Suggestions

Add an explicit trigger clause, e.g., "Use when working on dbt projects, dbt models, dbt_project.yml, or data warehouse transformation pipelines."

Include natural user phrasings and synonyms such as "dbt models", "dbt tests", "analytics engineering", or "data transformation" to improve trigger term coverage.

Replace the buzzword "Production-ready" with concrete verbs describing what the skill does (e.g., "Organize dbt models into staging/intermediate/marts layers, implement data tests, and configure incremental materializations").

DimensionReasoningScore

Specificity

The description lists four specific capability areas ("model organization, testing strategies, documentation, and incremental processing"), which goes beyond naming the domain, but these are topic areas rather than concrete actions and "Production-ready" is mild buzzword padding. It sits between anchor 3 (1-2 concrete actions) and anchor 5 (comprehensive concrete actions), matching anchor 4's 'several specific actions with minor gaps'.

4 / 5

Completeness

The 'what' is clear (patterns for model organization, testing, documentation, and incremental processing in dbt), but there is no 'Use when...' clause or equivalent explicit trigger guidance, capping completeness at 3 per the judging guidelines. This matches anchor 3 ('clear what but when is missing') and cannot reach anchor 4, which requires both what and when.

3 / 5

Trigger Term Quality

"dbt (data build tool)" covers the primary term plus its expansion, and terms like "model organization" and "incremental processing" are natural to the domain. Common user phrasings like "dbt models", "dbt tests", "data transformation", or "analytics engineering" are absent, matching anchor 4 ('good keyword coverage; a few natural terms missing') rather than anchor 5's comprehensive synonym coverage.

4 / 5

Distinctiveness Conflict Risk

Naming the specific tool "dbt (data build tool)" establishes a clear niche with minimal risk of triggering unrelated skills, but generic phrases like "testing strategies" and "documentation" create minor overlap with general SQL/data-engineering and testing skills. This matches anchor 4 ('mostly distinct; minor overlap risk with closely related skills') rather than anchor 5, which expects distinct explicit triggers.

4 / 5

Total

15

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/antigravity-bundle-data-engineering/skills/dbt-transformation-patterns/SKILL.md

Reviewed

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