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Found 72 Skills
Create session retrospective with AI diary and lessons learned. Use when user says "rrr", "retrospective", "wrap up session", "session summary", or at end of work session.
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing.
Manage Cursor Cloud Agents via the API. Launch agents, list running agents, check status, get conversation history, send follow-ups, stop or delete agents, and pull agent branch changes into the local repo. Use when the user mentions cloud agents, background agents, launching a task on a repo, checking agent status, or pulling agent changes.
Add a lesson to a skill LEARN.md file, routing feedback to skill, template, or context learning. Use when capturing workflow lessons.
Write the daily memory log entry. Use at end of day to record what happened.
Use jj (Jujutsu) for local version control instead of git. Activate when: the repo has a .jj/ directory, the user or project config mentions jj, the user says 'use jj', or any version control operation is needed in a jj-managed repo. Also use this skill when the user asks to commit, branch, stash, rebase, or perform any git-like operation in a repo that uses jj. If unsure whether the repo uses jj, check for a .jj/ directory.
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.
Generate and install a custom Claude Code status line with selectable columns (model, context, effort level, git, dir, worktree, vim) and a color theme. Context and effort elements color-change based on level. Triggers on "status line", "statusline", "customize status", "status bar", "effort level display", "状态栏", "ステータスライン", or similar.
Auto-generates a changelog from git commits, sprint data, and design documents. Produces both internal and player-facing versions.
Guides setup of a shareful.ai shares repository. Runs npx shareful-ai init to create the directory structure, explains the repo layout, and walks through next steps. Use when the user wants to "set up shareful", "create a shares repo", "start sharing solutions", or "initialize shareful".
Archives completed changes and merges specification deltas into living documentation. Use when changes are deployed, ready to archive, or specs need updating after implementation. Triggers include "openspec archive", "archive change", "merge specs", "complete proposal", "update documentation", "finalize spec", "mark as done".
Bundle code context for AI. ALWAYS use --limit 49k unless user explicitly requests otherwise. Use for creating shareable code bundles and preparing context for LLMs.