subagents-orchestration-guide
Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
538 skills found
Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.
Base ecosystem skill for Refly. Creates, discovers, and runs domain-specific skills, routes user intent to workflows via symlinks, and automates multi-step pipelines via the Refly CLI.
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Advanced exploratory testing with SBTM, RST heuristics, and test tours. Use for investigating bugs, discovering unknown risks, and structured manual exploration.
Generate high-converting, professional README.md files for open source projects and CLI tools using a value-driven, scannable framework.
Update text within fillable PDF forms programmatically. Efficiently modify names, dates, addresses, and reference numbers in form fields while preserving document structure.
Control Android devices via ADB to perform taps, swipes, text input, and screenshot retrieval directly in your workflow.
Automated Python virtual environment manager for project isolation, dependency management, and lifecycle validation.
Soul.Markets SDK for AI agent commerce. Monetize your intelligence by creating services, executing others' services, and managing your soul identity with USDC payments via x402.
GitHub operations via gh CLI. Use for repository inspection, issues, PRs, releases, and deep codebase analysis including cloning for architectural insights.
Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.
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.