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data-storytelling

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

59

Quality

68%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/business-analytics/skills/data-storytelling/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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-organized and token-efficient with appropriate progressive disclosure to a real reference file, but its guidance is conceptual rather than concretely actionable and lacks validation checkpoints in its workflow. Adding a worked end-to-end example or concrete build steps would lift the actionability and workflow scores.

Suggestions

Add one concrete, worked end-to-end example (e.g., turning a churn dataset into a stakeholder narrative) with specific data points and chart choices to lift actionability.

Surface the references/details.md link as a markdown link in the body and briefly preview what it contains (story frameworks, worked examples) so navigation is explicit.

For the narrative arc, add a short validation/checklist step (e.g., verify each stage answers the audience's 'so what') to give the workflow an explicit checkpoint.

DimensionReasoningScore

Conciseness

Lean and efficient with compact tables, minimal code blocks, and no padding explaining concepts Claude already knows; only a slight restatement of the description in the intro.

4 / 5

Actionability

Provides conceptual frameworks (story structure, narrative arc, three pillars) and do/don't lists, but the guidance is high-level rather than concrete executable steps or specific examples for common cases.

3 / 5

Workflow Clarity

The narrative arc lists a sequence (Hook through Call to Action) but there are no validation checkpoints or feedback loops; steps are present but checkpoints are missing.

3 / 5

Progressive Disclosure

Body is an overview with a clearly signaled one-level-deep reference to the verified references/details.md file; structure is good, though the reference is prose rather than a markdown link.

4 / 5

Total

14

/

20

Passed

Description

75%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 well-constructed description that clearly answers both what the skill does and when to use it, using concrete third-person action language and natural trigger phrases. It sits solidly above the midpoint but is not exhaustive enough in action enumeration or synonym coverage to reach top marks.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions (visualization, context, persuasive structure, data reports, executive presentations), but does not enumerate multiple discrete actions comprehensively like the 5-anchor.

4 / 5

Completeness

Explicitly states both what ('Transform data into compelling narratives using visualization, context, and persuasive structure') and when ('Use when presenting analytics to stakeholders, creating data reports, or building executive presentations'), with concrete triggers.

4 / 5

Trigger Term Quality

Good natural keywords ('presenting analytics to stakeholders', 'data reports', 'executive presentations') a user would actually say, though some synonyms (dashboards, board deck, data viz) are missing.

4 / 5

Distinctiveness Conflict Risk

Has a clear niche (stakeholder-facing data narratives) distinct from generic analysis skills, with only minor overlap risk against general presentation or analytics skills.

4 / 5

Total

16

/

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
wshobson/agents
Reviewed

Table of Contents

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