Eisenhower priority ai
Skill cloudaipro/openclaw-agent-skills/skills/eisenhower-priority-ai
Production-ready OpenClaw/Codex agent skill pack with 13 skills, user guides, and hardening suite.
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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.md
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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:
- Prioritization summary brief.
- Quadrant classification table.
- 50/40/5/5 action plan.
- Anti-overload checklist.
Workflow
- Score urgency and importance signals.
- Place tasks into Q1/Q2/Q3/Q4.
- Rank tasks within each quadrant.
- Allocate effort using 50/40/5/5 split.
- 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