lcplantoday

Generate today's LeetCode study plan with p0/p1/p2 priorities and local persistence.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/taoluo/leetcode-study-system --skill lcplantoday
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lcplantoday
Source: https://github.com/taoluo/leetcode-study-system/tree/main/.claude/skills/lcplantoday
Command: npx skills add https://github.com/taoluo/leetcode-study-system --skill lcplantoday

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate the actual execution plan for today based on the baseline checklist, real progress, unstable subcategories, remaining time, and the plan's p0/p1/p2 priority scheme.

Core Features & Use Cases

  • Build Day Frontier and Baseline Day Slice from the active checklist and progress context.
  • Classify baseline items into current_plan_touched, old_foundation, and untouched.
  • Produce execution buckets: historical backlog (P0), today’s P0/P1/P2, mixed review, and optional pull-forward plans.
  • Persist the final plan to the local today_plans/ directory for easy reference and tomorrow’s preplanning.

Quick Start

Run /lcplantoday to generate today's plan and persist it to today_plans/.

Frequently Asked Questions about lcplantoday

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a daily LeetCode study plan from my backlog?

Run the command to build a daily LeetCode study plan from your backlog. It adapts to unresolved backlog, unstable subcategories, remaining time, and a p0/p1/p2 priority scheme to decide what to do today.

What is a p0/p1/p2 priority scheme for prioritizing LeetCode tasks?

The p0/p1/p2 priority scheme classifies LeetCode tasks into historical backlog, today's P0/P1/P2 items, and mixed review. It determines what to backfill, execute today, or postpone based on current progress.

How does automated study planning handle unresolved backlog and unstable subcategories?

Automated study planning handles unresolved backlog and unstable subcategories by building a Day Frontier and Baseline Day Slice from the active checklist. It classifies items into current_plan_touched, old_foundation, and untouched to generate execution buckets.

Can I persist today's LeetCode execution plan locally for tomorrow's preplanning?

Yes, you can persist today's LeetCode execution plan locally. The final plan is stored in the local today_plans directory for easy reference and tomorrow's preplanning, using explicit plan evidence and historical foundation.

Do I need a baseline checklist and progress context to schedule LeetCode tasks?

Yes, a baseline checklist and progress context are required to schedule LeetCode tasks. The plan builds a Day Frontier and Baseline Day Slice from the active checklist and progress context to classify baseline items and produce execution buckets.