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visual-asset-generator
Generate research visuals (figures, diagrams) with constraints, evidence alignment, and confidence ceilings.
allowed_tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite
model: sonnet
$ Instalar
git clone https://github.com/DNYoussef/context-cascade /tmp/context-cascade && cp -r /tmp/context-cascade/skills/research/visual-asset-generator ~/.claude/skills/context-cascade// tip: Run this command in your terminal to install the skill
SKILL.md
name: visual-asset-generator description: Generate research visuals (figures, diagrams) with constraints, evidence alignment, and confidence ceilings. allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite model: sonnet x-version: 3.2.0 x-category: research x-vcl-compliance: v3.1.1 x-cognitive-frames:
- HON
- MOR
- COM
- CLS
- EVD
- ASP
- SPC
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
- Scope & Constraints: Capture objectives and constraint buckets; confirm INFERRED assumptions.
- Design Plan: Choose visual types, annotations, and data mappings; check feasibility.
- Create Draft: Build the asset with labeled data sources and units.
- Validate: Verify data accuracy, legends, accessibility, and confidentiality; apply ceilings to interpretive statements.
- 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.
Repository

DNYoussef
Author
DNYoussef/context-cascade/skills/research/visual-asset-generator
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Updated2d ago
Added5d ago