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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

74%

Does it follow best practices?

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

Quality

Content

57%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 skill is well-structured with exemplary progressive disclosure — a lean overview that defers worked examples to a real, clearly signaled one-level-deep reference file. However, the inline body leans on generic storytelling knowledge Claude already has and offers frameworks without any applied example or operational process, leaving it more descriptive than instructive.

Suggestions

Replace the do's/don'ts restating widely known craft advice with one compact worked example (e.g. a short raw-metrics-to-headline transformation) so the body demonstrates rather than describes.

Add a short operational workflow — analyze data → find the surprise → pick an arc from references/details.md → draft headline last — with a checkpoint like "verify the headline states a number and a business impact".

Cut the "When to Use This Skill" section or fold it into one line, since it duplicates the frontmatter description's triggers verbatim in spirit.

DimensionReasoningScore

Conciseness

The body is compact but restates knowledge Claude already has ("Setup → Conflict → Resolution", "rule of three", "Show, don't tell - Let data speak"), and the "When to Use This Skill" list duplicates the frontmatter's Use-when triggers. Mostly efficient with some unnecessary explanation, per anchor 3; not 4 because the generic-craft advice and duplication are more than minor trimmings.

3 / 5

Actionability

Structures are named concretely (a six-step narrative arc, a three-pillar table) but nothing is applied: no worked example, template, or command appears inline, and the actual worked examples are deferred entirely to references. Some concrete but incomplete guidance, matching anchor 3 rather than 4's mostly-executable bar.

3 / 5

Workflow Clarity

The narrative arc supplies a clear sequence for the deliverable (Hook → ... → Call to Action), but the body gives no sequenced process for getting from raw data to a finished story and includes no checkpoints for verifying the narrative lands. Sequence present with implicit/missing checkpoints, anchor 3; not 4 because the operational steps themselves are not laid out.

3 / 5

Progressive Disclosure

The body is a genuine overview and offloads detail to a real one-level-deep bundle file: "Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient." The referenced file exists and contains the worked examples and templates promised — a clear, well-signaled split matching anchor 5.

5 / 5

Total

14

/

20

Passed

Description

78%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-formed description that clearly answers both what the skill does and when to use it, with natural trigger phrases. Its main weakness is specificity — a single abstract action verb rather than several distinct concrete capabilities — plus minor trigger-synonym gaps and slight overlap risk with presentation-building skills.

Suggestions

Enumerate concrete actions instead of one verb plus means, e.g. "Structure analyses as setup-conflict-resolution narratives, draft executive story arcs, and apply visualization emphasis techniques".

Add trigger synonyms users naturally say, such as "data storytelling", "turning analysis into a narrative", or "board or investor deck".

Sharpen the boundary against generic presentation tools by scoping triggers to data-driven narrative work (e.g. "Use when turning analysis or metrics into a persuasive narrative — not for slide formatting alone").

DimensionReasoningScore

Specificity

"Transform data into compelling narratives" is one concrete action, with "visualization, context, and persuasive structure" naming means rather than distinct actions (compare anchor 4's several discrete actions like "extract, fill, merge"). Domain is clear but coverage is not comprehensive.

3 / 5

Completeness

It explicitly answers both: the what ("Transform data into compelling narratives using visualization, context, and persuasive structure") and a concrete when ("Use when presenting analytics to stakeholders, creating data reports, or building executive presentations"), matching the anchor-5 example pattern of what + explicit trigger phrases. Not 4 because the when clause is already explicit and specific.

5 / 5

Trigger Term Quality

"presenting analytics to stakeholders", "creating data reports", "building executive presentations" are natural phrases users would say, but common variations like "data storytelling", "dashboard walkthrough", or "board deck" are absent — good coverage with a few natural terms missing, matching anchor 4 rather than 5.

4 / 5

Distinctiveness Conflict Risk

The data-narrative niche is mostly distinct, but "executive presentations" and "data reports" overlap with presentation-authoring and charting skills, giving minor overlap risk with closely related skills — anchor 4 rather than 5's minimal-conflict bar.

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

wshobson/agents

Path

plugins/business-analytics/skills/data-storytelling/SKILL.md

Reviewed

Table of Contents

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