productivity▌

Compresses images to WebP or PNG with automatic tool selection based on system availability. \n \n Supports WebP (default), PNG, and JPEG output formats with configurable quality (0–100, default 80) \n Automatically selects best available compression tool: sips, cwebp, ImageMagick, or Sharp \n Processes single files or directories recursively with options to keep originals or replace in-place \n Customizable via EXTEND.md configuration files at project, user home, or XDG config locations \n

Comprehensive project planning with Epic > Feature > Story hierarchy, dependencies, priorities, and GitHub automation. \n \n Generates hierarchical work breakdown from epics down to individual tasks with INVEST-compliant user stories, technical enablers, and test items \n Provides GitHub issue templates for each work item type (epic, feature, story, enabler, task) with acceptance criteria, definitions of done, and dependency linking \n Includes priority and value matrix (P0–P3), Fibonacci story

Verify Microsoft SDK methods, find working code samples, and catch hallucinated APIs against official docs. \n \n Three core tools: microsoft_docs_search for API lookups, microsoft_code_sample_search for working examples in C#/Python/JavaScript, and microsoft_docs_fetch for full reference pages with overloads \n Catches common mistakes like wrong method signatures, deprecated patterns, mismatched SDK versions (v11 vs v12), and incorrect package names \n Works with Azure SDKs, .NET libraries, and

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理

Automated deployment of Expo apps to iOS App Store, Android Play Store, web hosting, and preview environments. \n \n Supports production builds and submissions for iOS (App Store and TestFlight) and Android (Google Play Store) with single commands \n Includes EAS Hosting for web deployments with automatic PR preview URLs and production domain support \n Provides CI/CD workflow automation via EAS Workflows for triggered builds and submissions on code pushes \n Automatic version management with re

Create a git branch following Sentry naming conventions. Keep this workflow non-interactive unless the user explicitly asks to choose the name manually.

The vector database for production AI applications.

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Diagnose and resolve Convex performance issues across reads, writes, subscriptions, and function limits. \n \n Covers four problem classes: hot-path reads and data amplification, OCC write conflicts and contention, subscription cost and reactivity overhead, and function execution or transaction size limits \n Starts with signal gathering from deployment health insights or CLI tools, then routes to the relevant reference guide based on the problem type \n Emphasizes tracing full read and write se