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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.

91

1.06x
Quality

Does it follow best practices?

Impact

94%

1.06x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The body is highly actionable with concrete, executable examples and a clear narrative-arc workflow, but it is verbose from repeated full template blocks and monolithic with no progressive disclosure into separate reference files. Splitting long template collections into bundled reference files and trimming redundant examples would raise the two lowest dimensions.

Suggestions

Move the three full Story Framework templates and three Presentation Templates into separate bundled reference files (e.g. references/frameworks.md, references/templates.md), keeping only a concise overview and one short example inline in SKILL.md.

Trim redundancy: the 'Three Pillars' table, 'Story Structure', and 'Narrative Arc' sections overlap — consolidate into a single concise structure section to reduce token cost.

Replace one of the two ASCII dashboard/slide mockups with a brief description, since the before/after and executive-summary mockups demonstrate the same technique twice.

DimensionReasoningScore

Conciseness

The ~450-line body is concrete and avoids explaining concepts Claude already knows, but three near-identical full framework templates, three slide templates, and repeated before/after table forms are tightening-able redundancy — matching the score-2 anchor of mostly efficient but could be tighter.

2 / 3

Actionability

Provides copy-paste-ready frameworks with specific numeric examples (churn analysis, weighted scoring matrix) and a fully executable matplotlib snippet, matching the score-3 anchor of executable, specific, ready-to-use guidance.

3 / 3

Workflow Clarity

The six-step Narrative Arc (Hook → Context → Rising Action → Climax → Resolution → Call to Action) gives a clear, unambiguous sequence for this single-task skill, which scores 3 under the simple-skill guideline; no destructive/batch validation is applicable here.

3 / 3

Progressive Disclosure

No bundle files exist and all ~450 lines live in one monolithic SKILL.md; sections are well-organized but the framework/template content that should be split into reference files is inline, matching the score-2 anchor of structured yet could-be-split content.

2 / 3

Total

10

/

12

Passed

Description

100%

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 is concise, specific, and uses third person with an explicit 'Use when' trigger clause covering both capabilities and invocation conditions. It is a strong, low-conflict description with no padding or voice violations.

DimensionReasoningScore

Specificity

Names multiple concrete techniques — 'Transform data into compelling narratives using visualization, context, and persuasive structure' — matching the score-3 anchor that lists several specific actions rather than vague language.

3 / 3

Completeness

Explicitly answers both what ('Transform data into compelling narratives...') and when via an explicit 'Use when...' clause, matching the score-3 anchor exactly.

3 / 3

Trigger Term Quality

'presenting analytics to stakeholders', 'creating data reports', and 'building executive presentations' are natural phrases users would say, giving good coverage of trigger terms.

3 / 3

Distinctiveness Conflict Risk

The data-storytelling niche with stakeholder-analytics triggers is clearly distinct from other skills and unlikely to trigger for the wrong skill.

3 / 3

Total

12

/

12

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
Dicklesworthstone/pi_agent_rust
Reviewed

Table of Contents

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