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dataflow-mapping

Trace and document how data transforms through a multi-step pipeline or function chain, showing intermediate state at each step with concrete example values. Use when explaining a data pipeline or complicated codepaths, tracing how a value changes across function calls, answering questions like "how does X get to Y", or producing a step-by-step dataflow walkthrough for a code review or design doc.

98

1.15x
Quality

98%

Does it follow best practices?

Impact

98%

1.15x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%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 tight, well-structured skill body that defines a concrete annotation format and backs it with three complete worked examples at varying depths. It assumes Claude's competence, stays actionable, and is cleanly organized with no padding.

DimensionReasoningScore

Conciseness

Lean and purposeful prose with no padding or explanation of concepts Claude already knows; every directive and the format spec earn their place, matching the lean/efficient anchor.

5 / 5

Actionability

Provides a concrete format template, explicit symbols, and three fully worked examples covering different depths; the pseudocode format is justified by design, so it scores as fully actionable guidance.

5 / 5

Workflow Clarity

A single-task documentation skill whose action is unambiguous, with clear depth-by-scenario guidance; the simple-skill exception applies and no destructive/batch operations are involved to cap the score.

5 / 5

Progressive Disclosure

Well-organized into clear sections with no nested references; the skill is self-contained and the inline examples are integral to the format spec, so navigation is easy.

5 / 5

Total

20

/

20

Passed

Description

96%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 gives rich, natural trigger phrases for when to use it. The only slight weakness is minor overlap risk with broader code-explanation skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Trace and document how data transforms', 'showing intermediate state at each step with concrete example values' — with comprehensive coverage of the dataflow-tracing niche, matching the anchor for several specific concrete actions.

5 / 5

Completeness

Explicitly answers both 'what' (trace/document data transforms with intermediate state) and 'when' (a 'Use when...' clause with concrete trigger phrases), matching the anchor for clearly answering both what and when.

5 / 5

Trigger Term Quality

Includes natural phrases a user would actually say — 'how does X get to Y', 'explaining a data pipeline', 'tracing how a value changes across function calls', 'dataflow walkthrough for a code review or design doc' — giving comprehensive coverage of natural trigger terms.

5 / 5

Distinctiveness Conflict Risk

The dataflow-tracing niche and triggers like 'how does X get to Y' are mostly distinct, but there is minor overlap risk with general code-explanation skills, so it sits just below the minimal-conflict anchor.

4 / 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
gitlabhq/orbit-knowledge-graph
Reviewed

Table of Contents

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