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Cognitive Ux Dashboard

skill-kfeng209-oss-cognitive-ux-cognitive-ux-dashboard · by kfeng209-oss

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.

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Install

$ agentstack add skill-kfeng209-oss-cognitive-ux-cognitive-ux-dashboard

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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

  1. Begin with the decision, change, exception, and next action—not an inventory of charts.
  2. Show definition, timeframe, unit, freshness, uncertainty, and source/provenance for every decision-relevant metric.
  3. Use summary → comparison → detail drill-down while preserving filters, focus, and the question being investigated.
  4. Design alerts with a clear condition, severity, owner, action, acknowledgment, and recovery; avoid continuous alarm styling.
  5. Provide a usable data-table or text alternative for charts, and do not encode meaning with color alone.

Read [archetype evidence](references/archetype-evidence.md). 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.