decision-visualization
Decision-specific visualization skill for creating clear, actionable visual representations of analyses
npx skills add a5c-ai/babysitter --skill decision-visualization --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Decision Visualization ## Overview The Decision Visualization skill provides specialized visualization capabilities for decision support, creating clear, actionable visual representations that communicate analysis results effectively to decision-makers and stakeholders. ## Capabilities - Decision tree diagrams - Strategy tables and consequence matrices - Trade-off scatter plots - Value-of-information graphs - Confidence/uncertainty bands - Waterfall charts for sensitivity - Heat maps for MCDA - Interactive dashboards ## Used By Processes - Executive Dashboard Development - Structured Decision Making Process - Multi-Criteria Decision Analysis (MCDA) - Decision Documentation and Learning ## Usage ### Decision Tree Visualization ```python # Decision tree diagram configuration decision_tree_viz = { "type": "decision_tree", "data": decision_tree_structure, "options": { "node_shapes": { "decision": "square", "chance": "circle", "terminal": "triangle" }, "show_probabilities": True, "show_payoffs": True, "highlight_optimal_path": True, "color_scheme": "sequential", "orientation": "horizontal" } } ``` ### Strategy Table ```python # Strategy comparison table strategy_table = { "type": "str
- Overview
- Capabilities
- Used By Processes
- Usage
- Decision Tree Visualization
- Strategy Table
- Trade-off Scatter Plot
- Tornado Diagram
- Uncertainty Visualization
- Visualization Types
- Input Schema
- Output Schema
- Design Principles
- Best Practices
What does the decision-visualization skill do?
Decision-specific visualization skill for creating clear, actionable visual representations of analyses
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill decision-visualization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.