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data-storyteller

Use when building data-heavy screens, analytics dashboards, metric visualizations, or inline charts for Copilot. Creates bar/line charts, renders data tables, aggregates KPI metrics, builds filterable dashboard layouts, and generates HTML previews for concept validation. Triggers: 'dashboard', 'métricas', 'gráfico', 'chart', 'visualización', 'analytics', 'KPI', 'reporte', 'muestra los datos', 'cómo van los números'.

72

Quality

90%

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

81%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 well-structured, actionable skill body with strong workflow gating and concrete commands. The main weaknesses are minor redundancy between Edge Cases and Integration Notes, a dangling reference to a non-existent file, and an uncited orphan reference file.

Suggestions

Fix the dangling reference at line 132: either create references/data-viz-conventions.md or repoint the citation to an existing file (e.g., references/chart-selection-guide.md).

Either cite references/metrics-map.md somewhere in the body (it is currently an uncited orphan) or remove it from the bundle so the reference set matches what the skill actually uses.

De-duplicate the Copilot-inline guidance, which is restated in Mode Detection, Edge Cases, and Integration Notes — consolidate it into one location.

DimensionReasoningScore

Conciseness

Mostly lean and efficient — uses tables and terse command snippets, assumes Claude knows what charts/KPIs are, and avoids concept explanations. Not a 5 because the Copilot-inline behavior is restated across Mode Detection, Edge Cases, and Integration Notes, and the Edge Cases / Integration Notes sections overlap.

4 / 5

Actionability

Provides concrete, runnable guidance — actual Grep/Glob/Bash commands ('docker exec ... npm ls ... | grep -iE "chart|recharts|..."'), real MCP query chains, and specific site-scoped WebSearch strings. Falls short of 5 only because patterns use placeholders ({metric_name}, {domain}, {timestamp}) that require substitution before execution.

4 / 5

Workflow Clarity

Multi-step D1–D4 / P1–P4 phases are explicitly sequenced with a Quick Reference mapping table and hard 'Gate:' checkpoints after each phase, plus D4/P4 validation phases ending in user confirmation and a Knowledge Routing feedback loop (not found → declare + propose alternative).

5 / 5

Progressive Disclosure

Good structure with one-level-deep references clearly signaled via explicit Read commands (chart-selection-guide.md, viz-spec-template.md). Not a 5 because the body references references/data-viz-conventions.md (line 132) which does not exist, and references/metrics-map.md exists but is never cited — a broken link and an orphan file.

4 / 5

Total

17

/

20

Passed

Description

100%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 is exemplary: it states concrete capabilities, gives a 'Use when...' clause with an explicit trigger list, uses third person, and covers both English and Spanish natural phrases. It is concise yet comprehensive with no padding.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'Creates bar/line charts, renders data tables, aggregates KPI metrics, builds filterable dashboard layouts, and generates HTML previews' — giving comprehensive coverage of capabilities rather than vague domain naming.

5 / 5

Completeness

Explicitly answers both what (charts, tables, KPI aggregation, dashboard layouts, HTML previews) and when ('Use when building data-heavy screens, analytics dashboards...' plus a concrete 'Triggers:' list), with clear third-person voice throughout.

5 / 5

Trigger Term Quality

Comprehensive natural-term coverage including synonyms and bilingual phrases users would actually say — 'dashboard', 'métricas', 'gráfico', 'chart', 'visualización', 'analytics', 'KPI', 'reporte', 'muestra los datos', 'cómo van los números'.

5 / 5

Distinctiveness Conflict Risk

Clear niche (data visualization / dashboards for Copilot) with distinct bilingual triggers; minimal conflict risk since the trigger terms are tightly scoped to data-viz rather than generic document or code work.

5 / 5

Total

20

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
alpacapurpura/ap_sales_agent
Reviewed

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