Explorar skills

Create or update numbered task docs using repo context, DOC_TEMPLATE.md, and naming conventions.

Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image layouts, and "make it look good" requests with automatic quality improvements.

コード変更を適切なgitコミット戦略でgit commitします。基本的には既存のgitコミットへのsquash戦略を採用し、必要に応じてブランチ全体のgitコミット履歴を再構成します。実装完了時やユーザーがgit commitを依頼した時に使用します。

Design APIs using schema-first approach with OpenAPI/Swagger. Use when creating new APIs, documenting existing ones, or when frontend/backend teams need to work in parallel. Covers OpenAPI spec, validation, and code generation.

Master modern business analysis with AI-powered analytics,

Use when the user needs to create, extract, flatten, list, test, install, script, or troubleshoot `tzst` CLI workflows for `.tzst` or `.tar.zst` archives, including compression levels, streaming mode, extraction filters, conflict resolution, JSON output, or standalone binary setup, even if they describe the archive task without naming `tzst`.

会议纪要整理工作流：汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。

Use this skill to work with Microsoft Foundry (Azure AI Foundry) and tools from Foundry MCP server: deploy AI models, manage AI agents (create, deploy, invoke, run, troubleshoot Foundry Agents), manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, create agent, deploy agent, debug agent, invoke agent, run agent,

Next.js 16 with Turbopack, Cache Components, and proxy.ts. Use for bootstrapping, migrating, and building with App Router and React 19.

Performs comprehensive audits to detect placeholder code, mock data, TODO markers, and incomplete implementations in codebases. Use this skill when you need to find all instances of "theater" in code such as hardcoded mock responses, stub functions, commented-out production logic, or fake data that needs to be replaced with real implementations. The skill systematically identifies these instances,

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, a

Use when implementing any feature or bugfix, before writing implementation code