Cognitive ux dashboard
Skill kfeng209-oss/cognitive-ux/skills/cognitive-ux-dashboard
Design and audit analytics dashboards, monitoring surfaces, and decision-support websites using evidence-informed UX. Use when people must monitor a situation, interpret data, investigate exceptions, and act; return a decision inventory, KPI/provenance model, progressive drill-down, accessible data alternatives, alert rules, and accuracy-based validation.From its SKILL.md
npx -y skills add kfeng209-oss/cognitive-ux --skill cognitive-ux-dashboardAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Cognitive UX: Analytics & Dashboard
Scope
Use for analytical decision support. Use cognitive-ux-workflow when the main job is completing a multi-step task rather than interpreting data.
Intake
- Identify the decisions users must make, their frequency, urgency, and consequence.
- Identify metrics, units, timeframes, freshness, uncertainty, thresholds, and data permissions.
- Identify role-specific actions, operational context, empty/error/stale states, and accessible alternatives.
State assumptions that could change the design. Define the primary task, its consequence of failure, and a measurable user outcome before proposing a layout.
Design procedure
- Begin with the decision, change, exception, and next action—not an inventory of charts.
- Show definition, timeframe, unit, freshness, uncertainty, and source/provenance for every decision-relevant metric.
- Use summary → comparison → detail drill-down while preserving filters, focus, and the question being investigated.
- Design alerts with a clear condition, severity, owner, action, acknowledgment, and recovery; avoid continuous alarm styling.
- Provide a usable data-table or text alternative for charts, and do not encode meaning with color alone.
Read archetype evidence. Label each non-obvious recommendation Standard / requirement, Evidence-informed default, or Hypothesis to test.
Required outputs
- decision and KPI inventory
- dashboard hierarchy and drill-down map
- alert/action and data-state specification
- visualization plus accessible data-alternative checklist
- decision accuracy/time test plan
- Evidence-to-decision table: decision → mechanism → source → label → limitation → test metric.
- Accessibility, ethics, and recovery-path checklist.
Guardrails
Do not use decorative charts, false precision, unlabeled timeframes, color-only severity, or a metric that lacks a defined decision purpose.
Related skills
Use cognitive-ux-workflow, cognitive-ux-admin, and cognitive-ux-finance. Select the primary task before combining skills; add a secondary skill only when it changes the user outcome or risk.
What ships with it: 2 files
1.6 KB alongside SKILL.md
agents/
- openai.yaml214 B
references/
- archetype-evidence.md1.4 KB