Agent skill

visual-asset-generator

Generate research visuals (figures, diagrams) with constraints, evidence alignment, and confidence ceilings.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/visual-asset-generator

SKILL.md

STANDARD OPERATING PROCEDURE

Purpose

  • Produce visual assets that accurately reflect research findings and constraints.
  • Apply constraint hygiene and explicit ceilings to avoid misrepresentation.
  • Maintain structure-first documentation for reproducibility.

Trigger Conditions

  • Positive: requests for figures, diagrams, charts, or schematics tied to research outputs.
  • Negative: purely aesthetic design work unrelated to research; or text-only summaries.

Guardrails

  • Constraints bucketed: HARD (data accuracy, confidentiality, formats), SOFT (style preferences), INFERRED (audience literacy).
  • Two-pass loop: draft visual plan → validate against evidence and constraints.
  • Explicitly cite data sources and uncertainty; include confidence ceilings where interpretation is inferred.

Inputs

  • Goal of the visual, target audience, and format requirements.
  • Data/metrics to visualize and source locations.
  • Style guidance and accessibility needs.

Workflow

  1. Scope & Constraints: Capture objectives and constraint buckets; confirm INFERRED assumptions.
  2. Design Plan: Choose visual types, annotations, and data mappings; check feasibility.
  3. Create Draft: Build the asset with labeled data sources and units.
  4. Validate: Verify data accuracy, legends, accessibility, and confidentiality; apply ceilings to interpretive statements.
  5. Deliver & Store: Provide assets, source files, and usage notes; update references/examples.

Validation & Quality Gates

  • Data sources cited; transformations documented.
  • Visual readable and accessible; constraints respected.
  • Interpretations include confidence ceilings.

Response Template

**Goal & Constraints**
- HARD / SOFT / INFERRED.

**Design**
- Visual type, data sources, annotations.

**Validation**
- Accuracy checks, accessibility, risks.

**Deliverables**
- Asset paths, source files, usage notes.

Confidence: 0.80 (ceiling: research 0.85) - based on validated visuals and data checks.

Confidence: 0.80 (ceiling: research 0.85) - reflects validated visual assets tied to evidence.

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