jira-communication
Comprehensive Jira interaction suite for managing issues, sprints, boards, and worklogs via CLI. Supports searching, updating, transitioning, and attachment handling. Triggers on Jira URLs and issue keys.
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491 skills found
Comprehensive Jira interaction suite for managing issues, sprints, boards, and worklogs via CLI. Supports searching, updating, transitioning, and attachment handling. Triggers on Jira URLs and issue keys.
Neural web search and code context retrieval via Exa AI. Ideal for documentation, technical research, code examples, and company intelligence.
React Native best practices for Expo and bare workflow. Supports project structure, navigation, NativeWind styling, platform-specific code, and TypeScript integration.
React component development guide for LobeHub, including styling with antd-style, layout building with @lobehub/ui, and routing management.
Expert systematic test design using BVA, equivalence partitioning, decision tables, and combinatorial testing to maximize coverage and minimize redundancy.
Comprehensive Google Docs and Drive management tool. Supports document creation via Markdown, text formatting, structure analysis, and full file operations including upload, download, and sharing.
Resolve Stripe webhook 'Raw body' and signature verification errors with framework-specific implementations for Fastify, Express, and FastAPI, plus fixes for common TypeScript subscription data mapping issues.
Build professional, accessible, and responsive user interfaces using React, Next.js, and modern design systems like shadcn/ui. Focuses on developer tools, chat interfaces, and real-time streaming components.
A comprehensive Python library for querying, parsing, and analyzing SEC EDGAR filings, financial statements, and institutional holdings as structured data objects.
Automated migration workflow from legacy Crowi (Express/Swig) to modern architecture (Next.js 16/Fastify/ts-rest).
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.