发现 Skills

Automate RiteKit tasks via Rube MCP (Composio). Always search tools first for current schemas.

A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.

Trigger.dev expert for background jobs, AI workflows, and reliable async execution with an excellent developer experience and a TypeScript-first design. Use when: trigger.dev, trigger dev, background task, AI background job, long-running task.

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.

REQUIRED when modifying any file in packages/playground-ui or packages/playground. Triggers on: React component creation/modification/refactoring, UI changes, new playground features, bug fixes affecting studio UI. Generates Playwright E2E tests that validate PRODUCT BEHAVIOR, not just UI states.

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.

Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.

Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

Automate Agiled tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

Automate Demio tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Elorus tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Jotform form listing, user management, activity history, folder organization, and plan inspection through natural language commands

Automate Retailed tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Scrapingant tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Simla Com tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Timekit tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate YNAB tasks via Rube MCP (Composio). Always search available tools first to find current schemas.

How to use a Win32 build of BusyBox to run many of the standard UNIX command line tools on Windows.

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.