kpi-dashboard-design

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.

Quality

68%

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tessl review fix ./skills/kpi-dashboard-design/SKILL.md

Quality

Content

53%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 content is highly actionable with excellent executable SQL and Python examples, but it is token-heavy and inlines large reference material that should live in separate bundle files. Workflow guidance is generic rather than a real sequenced process.

Suggestions

Move the department KPI catalogs, the SQL examples, and the Streamlit app into separate files under references/ or scripts/, keeping SKILL.md as a concise overview with one-level-deep links.

Replace the generic 'Instructions' boilerplate ('Clarify goals...', 'Apply relevant best practices...') with a concrete, sequenced design workflow with explicit validation checkpoints (e.g. define metrics -> sketch layout -> validate against 5-7 KPI limit -> review on mobile).

Trim or remove the large ASCII dashboard mockups and the filler 'Do not use this skill when' section to reduce tokens, assuming Claude's competence with common KPI definitions.

Dimension	Reasoning	Score
Conciseness	Noticeably verbose: ~435 lines include generic filler ('Clarify goals, constraints, and required inputs...', 'Do not use this skill when...'), large ASCII dashboard mockups, and well-known KPI lists (MRR, ARR, NPS, CAC, churn) that Claude already knows; not a 3 because the padding is substantial rather than occasional.	2 / 5
Actionability	Fully executable, copy-paste-ready guidance: three complete SQL queries (MRR, cohort retention, CAC), a full Streamlit/Plotly Python app, concrete layout patterns, and SMART criteria covering common cases.	5 / 5
Workflow Clarity	The 'Instructions' section is generic boilerplate with no real sequenced process or validation checkpoints, and the skill is a patterns catalog rather than a multi-step workflow; not a 2 because section structure and the dashboard hierarchy provide some sequence.	3 / 5
Progressive Disclosure	No bundle files exist and everything is inlined into a single 435-line SKILL.md; the large SQL block, full Streamlit app, KPI reference catalog, and ASCII mockups clearly belong in separate reference files but are all inlined.	2 / 5
	Total	12 / 20 Passed

Description

83%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, third-person description that clearly states both capability and use-when triggers with concrete language. It is mostly specific and distinctive, with only minor gaps in action coverage and trigger synonyms.

Dimension	Reasoning	Score
Specificity	Names the KPI dashboard domain plus three concrete actions ('metrics selection, visualization best practices, and real-time monitoring patterns'); not a 5 because coverage of dashboard design actions is partial (no mention of layout/interaction patterns).	4 / 5
Completeness	Explicitly answers both what ('Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns') and when ('Use when building business dashboards, selecting metrics, or designing data visualization layouts') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Good natural trigger coverage ('building business dashboards, selecting metrics, or designing data visualization layouts'); a few common variants missing (e.g. 'KPIs', 'executive dashboards', 'real-time monitoring').	4 / 5
Distinctiveness Conflict Risk	'KPI dashboards' is a fairly distinct niche, but 'data visualization layouts' is broad enough to risk minor overlap with a general data-viz skill, so not a 5.	4 / 5
	Total	17 / 20 Passed

Validation

100%

Warnings & errors only

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: rmyndharis/antigravity-skills
Path: skills/kpi-dashboard-design/SKILL.md
Commit: 3eff4af

Reviewed: 5 days ago

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