json-canvas
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Killer-Skillsディレクトリで数千のAI Agentスキルを探索・インストール。Claude Code、Windsurf、Cursorなどに対応。
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
AI-powered text-to-speech CLI tool. Use for pronunciation queries, reading text aloud, generating audio files, or language practice. Triggers on how to pronounce, say this, read aloud, TTS, text to speech, speak, or audio generation requests.
アップロードは、変更されたファイルをGitにコミットし、Vercelにデプロイするプロセス
Remote development via GitHub API. Write code, create branches, commit files, and create PRs — all without a local clone. Pull tasks from Linear and implement them entirely through GitHub. Use when Ko wants features built remotely while working locally on other things.
Generate full hexagonal glue-code for a Zeebe BPMN process across all five layers — inbound workers, inbound/outbound port interfaces, application services, and a process out-adapter. Use when the user asks to automate a process, generate glue-code for a BPMN process, or scaffold workers and adapters. Accepts a ProcessApi file, a BPMN model, or a plain description; skips files that already exist; optionally runs the review-process audit first.
Write idiomatic Zig code following the Zen of Zig philosophy. Use for systems programming with Zig (.zig files), covering manual memory management with allocators, error unions and explicit error handling, compile-time programming (comptime), data-oriented design, and the new async/Io model. Applies functional programming parallels (Result types, ADTs, explicit effects) for C-free systems development.
Write consistent, maintainable CSS following the projects methodology (Tailwind utility classes) while minimizing custom CSS and adhering to design system tokens. Use this skill when writing or editing CSS files, Tailwind classes in React components (.tsx, .jsx files), when implementing design system colors/spacing/typography, when using Tailwind utility classes, when deciding between framework utilities vs. custom CSS, when optimizing CSS for production with tree-shaking, when configuring Tailwind theme extensions, or when maintaining design consistency across the application.
Multi-agent code review system that spawns three independent Claude sub-agents to review PR diffs. Each agent receives files in different randomized order to reduce ordering bias. One agent focuses specifically on code health and maintainability. Issues are validated using reasoned analysis rather than simple vote counting. Reports merge verdict (YES / NOT SURE / NO). Automatically deduplicates against existing PR comments. Always posts a summary (even if no new issues), with low priority issues in a collapsible section.
Generate and optimize PRDs, Implementation Plans, and Progress Tracking documents optimized as AI artifacts for development agents. Use when creating new feature plans, breaking down long planning docs (>800 lines), or setting up progress tracking. Supports: 1) Create PRD from feature request, 2) Create Implementation Plan from PRD with phase breakdown and subagent assignments, 3) Optimize existing plans by breaking into phase-specific files, 4) Create progress tracking with task assignments. Example: Create a PRD for user authentication feature or Break down the sidebar-polish implementation plan into phase files or Create progress tracking for data-layer-fixes PRD.