CtrlK
BlogDocsLog inGet started
Tessl Logo

visualization-selection

Use this skill when creating charts, plots, or dashboards. Choose the visualization type that best communicates the data relationship before writing any plotting code.

66

Quality

80%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./memory_data/skills/visualization-selection/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

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

The body is concise, well-structured, and clear for its single purpose, scoring high on token efficiency, workflow clarity, and disclosure. The only gap is actionability, where a short executable example or template would move it from concrete guidance to copy-paste ready.

Suggestions

Add a minimal copy-paste plotting snippet (e.g., a 3-line matplotlib/seaborn template applying the table) to raise actionability to 3.

Optionally include one concrete before/after example of a corrected axis or palette choice to make the principles directly executable.

DimensionReasoningScore

Conciseness

The body is a lean goal-to-chart-type table plus a tight principles list with no concept-explaining filler, so every token earns its place as the score-3 anchor requires.

3 / 3

Actionability

The mapping table and specific principles (e.g., 'Start y-axis at 0', named palettes 'viridis', 'colorbrewer') give concrete guidance, but there is no runnable code or copy-paste example, leaving it short of fully executable instruction.

2 / 3

Workflow Clarity

This is a simple single-task skill under 50 lines where the single action (select the right chart type) is unambiguous, and no destructive or batch operation requires validation checkpoints, so it qualifies for 3 per the simple-skills note.

3 / 3

Progressive Disclosure

With no external references needed, the under-50-line body is well organized into a decision table and a principles list, satisfying the simple-skills allowance for a top score.

3 / 3

Total

11

/

12

Passed

Description

75%Weight 40%Scale 1-3

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 has a strong explicit trigger and clear niche, but its capability list and natural-keyword coverage are narrower than top-tier examples. Expanding both would push specificity and trigger-term quality to the highest level.

Suggestions

Enumerate multiple concrete actions (e.g., 'pick chart types, set axis scales, choose color palettes') to lift specificity from 2 to 3.

Add common natural variations users say, such as 'graphs', 'data visualization', 'data viz', or named chart types, to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

Quotes 'creating charts, plots, or dashboards' and 'Choose the visualization type that best communicates the data relationship' name the domain and a concrete action, but stop short of listing multiple distinct capabilities like the score-3 anchor.

2 / 3

Completeness

The explicit 'Use this skill when creating charts, plots, or dashboards' clause clearly states both what the skill does and when to use it, matching the score-3 anchor.

3 / 3

Trigger Term Quality

'charts, plots, or dashboards' are natural user terms, but common variations like 'graphs', 'data viz', or specific chart names are missing, so coverage is partial rather than comprehensive.

2 / 3

Distinctiveness Conflict Risk

Visualization-type selection is a clear niche with distinct triggers that are unlikely to fire for unrelated skills, matching the score-3 anchor.

3 / 3

Total

10

/

12

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aiming-lab/MetaClaw
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.