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Found 90 Skills
Access Coursera courses, track learning progress, and manage certifications
Displays progress dashboard showing phase completion, blocked tasks, and remaining work estimate. Provides at-a-glance view of implementation status. Run anytime to check progress.
Manage long-running agent sessions. Use for tracking progress in extended tasks, maintaining context across long sessions, and managing multi-step workflows.
Check project progress, show context, and route to next action (execute or plan)
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".
Workflow step compliance guidance with mandatory step reminders and visual progress tracking. Reminds Claude to complete all workflow steps before PR creation.
Creates structured decomposition plans and roadmaps for migrating monolithic applications. Use when planning decomposition, creating migration roadmaps, prioritizing decomposition work, tracking decomposition progress, or when the user asks about decomposition planning, migration strategy, or architectural roadmap.
Saves learning notes from the current conversation as a markdown file. Use after a study session to record what you learned.
Universal execution engine consuming .task/*.json directory format. Serial task execution with convergence verification, progress tracking via execution.md + execution-events.md.
Directory convention, numbering system, and workflow for multi-session implementation plans. Follow when creating phased feature plans that span multiple sessions.
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.
Shows a structured progress dashboard for an album with percentage complete per phase, blocking items, and status breakdown. Use for a quick visual overview of album progress.