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gantt-chart-visualization

Design, critique, route, and implement Gantt charts and schedule visualizations. Use when the user mentions Gantt charts, project schedules, roadmaps with task spans, milestones, dependencies, predecessors, critical path, baselines, WBS, resource plans, capacity timelines, MS Project, Primavera P6, Jira Advanced Roadmaps, GitHub Projects, Smartsheet, monday.com, Asana, ClickUp, Azure DevOps iterations, or importing/exporting project-management data for a timeline chart.

76

Quality

93%

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SKILL.md
Quality
Evals
Security

Quality

Content

87%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.

A well-structured, token-efficient instruction skill that routes decisions to concrete library choices and scenario-specific reference files. The main gap is the absence of explicit validation/feedback checkpoints in the data-mapping and import portions of the workflow.

Suggestions

Add an explicit validation checkpoint after step 3 (normalize into a Gantt model) — e.g. 'validate mapped fields against source provenance; flag inferred or ambiguous custom fields before proceeding' — to create a fix-and-retry loop for risky import/mapping operations.

In the API-and-export ingestion step, specify a concrete validation gate (detect dependency cycles, missing predecessors, timezone/date-only mismatches) that maps to step 8's release gates so the workflow closes the loop between ingestion and testing.

Add one short concrete example of the canonical schedule model fields and expected output shape in the Output Expectations section so the deliverable is unambiguous, not just enumerated.

DimensionReasoningScore

Conciseness

Lean, dense bullet lists with no concept padding — it assumes Claude knows what a Gantt chart is and spends tokens only on decisions, libraries, and routing. Every section earns its place.

3 / 3

Actionability

For an instruction-only skill, guidance is highly concrete: named libraries per scenario (Bryntum, DHTMLX, Highcharts Gantt, Frappe, FullCalendar), per-source reference files, and explicit decision criteria for when to use each surface.

3 / 3

Workflow Clarity

The 8-step core workflow is clearly sequenced and step 8 lists testing gates, but for batch/import operations (step 3 normalization, API-and-export ingestion) there is no explicit validate-then-fix-then-retry feedback loop; checkpoints are implicit rather than spelled out.

2 / 3

Progressive Disclosure

Overview points to six real, verified one-level-deep reference files, each tied to a specific scenario in the Reference Guide; shared foundation reference is signaled separately. Well-organized, easy navigation.

3 / 3

Total

11

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12

Passed

Description

100%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.

A high-quality description: concise third-person statement of capabilities followed by an explicit, exhaustive 'Use when' trigger clause covering both domain concepts and named PM tools. No padding or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Design, critique, route, and implement Gantt charts and schedule visualizations' — matching the anchor for multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers both what ('Design, critique, route, and implement...') and when ('Use when the user mentions...'), with a clear trigger clause.

3 / 3

Trigger Term Quality

Dense coverage of natural terms a user would say — 'Gantt charts, project schedules, roadmaps with task spans, milestones, dependencies, predecessors, critical path, baselines, WBS, resource plans' plus named tools (MS Project, Primavera P6, Jira, Smartsheet).

3 / 3

Distinctiveness Conflict Risk

Clear niche (Gantt/schedule visualization) with distinct tool and domain triggers unlikely to fire for unrelated skills.

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
openai/plugins
Reviewed

Table of Contents

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