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Found 99 Skills
A step-by-step practice tool for LeetCode medium-difficulty interview questions. It is triggered when users want to practice algorithm problems, brush up on LeetCode, prepare for technical interviews, or say "Give me a problem", "Next problem", "Generate scaffold", "Start practicing". It supports categorized practice by problem type (DP, Linked List, Tree, Graph, Sliding Window, Two Pointers, Hash Table, Binary Search, Stack, Heap, Backtracking, Interval, String, Union Find), generates Python scaffolds with test cases for each problem, tracks learning progress via Markdown tables, and guides users to think independently before providing solutions. It supports the goal of 3 problems per day, counts progress via `git diff README.md` and submits to Git.
Standardize the article editing process to ensure clear modification scope, trackable progress, and documented changes. Use this skill when the user says "edit article", "revise article", "adjust content", or "modify this piece".
Compare two security audit reports to track remediation progress and identify new vulnerabilities.
Create a context handoff file, pausing work mid-phase, stopping work temporarily, or creating a checkpoint for session resumption. Triggers include "pause work", "stop work", "create handoff", "save progress", and "pause session".
List tasks by directory with progress and visual indicators
Access Skillshare creative classes and track learning progress
Async job processing with validated state transitions, progress tracking, and asset linking. Ensure jobs always reach terminal states with proper error handling.
Execute all tasks from the task breakdown to build the feature. Use after task generation to systematically implement the planned solution following TDD approach where applicable.
Task management CLI for tracking and managing feature subtasks with status, dependencies, and validation
Documentation-first task execution with quality checks and progress tracking. Use when working with task lists, implementing features, or executing multi-step work to ensure systematic completion with proper documentation review.
Git-centric implementation workflow. Enforces clean checkout, creates a properly named branch, tracks progress in a WIP markdown file, and commits/pushes continuously so remote git logs serve as the primary monitoring channel. Use when starting any plan-based implementation task.
Process multiple files in parallel with aggregation and progress tracking. Use for batch file operations, directory scanning, ZIP handling, and parallel data processing with 2-3x performance improvement.