# Eisenhower Priority AI

> Eisenhower prioritization engine that classifies tasks into urgency-importance quadrants and outputs a 50/40/5/5 action allocation. Use when users feel overloaded and need a decisive execution order with rationale.

- Skill: `cloudaipro/eisenhower-priority-ai` (Agent Skill, multi-file: 8 files)
- Install (CLI): `npx skillmds@latest add cloudaipro/eisenhower-priority-ai`
- Raw SKILL.md: https://api.skillmd.com/api/skills/cloudaipro/eisenhower-priority-ai/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: cloudaipro (https://skillmd.com/u/cloudaipro)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/cloudaipro/eisenhower-priority-ai

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# Eisenhower Priority AI

## Objective
Transform unstructured task lists into quadrant-based execution order with explicit tradeoffs.

## Trigger Rules
Use when users need prioritization clarity, not calendar orchestration.

Positive cues:
- "I have too many tasks."
- "Help me prioritize now."
- "Use Eisenhower matrix."

Do not use when:
- User asks for full day scheduling (use executive-assistant).
- User asks for course or marketing design.
- User asks for research-only persona analysis.

## Inputs
Required:
- Task list.

Optional:
- Deadlines.
- Impact metrics.
- Owner/dependency notes.

## Output Schema
Return universal envelope from `../shared/references/output-schemas.md`.

Artifacts order:
1. Prioritization summary brief.
2. Quadrant classification table.
3. 50/40/5/5 action plan.
4. Anti-overload checklist.

## Workflow
1. Score urgency and importance signals.
2. Place tasks into Q1/Q2/Q3/Q4.
3. Rank tasks within each quadrant.
4. Allocate effort using 50/40/5/5 split.
5. Return execute/delegate/drop recommendations.

## Quality Bar
- Classification rationale must be visible.
- Q2 strategic tasks must not be crowded out.
- Q4 tasks should default to eliminate/defer.

## Safety Rules
- Avoid fabricated deadlines.
- Mark assumptions where metadata is missing.
- Keep recommendations actionable and reversible.

## Resources
- Domain framework: `references/domain.md`
- Envelope validator: `scripts/validate_output.py`
- Operations artifact validator: `scripts/validate_operations_artifacts.py`