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Expert skill for planning, launching, and optimizing paid advertising campaigns across Google, Meta, LinkedIn, and more, with focus on performance, ROAS, and lead acquisition.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
341 skills found
Expert skill for planning, launching, and optimizing paid advertising campaigns across Google, Meta, LinkedIn, and more, with focus on performance, ROAS, and lead acquisition.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Automates the release workflow for Worktrunk, including version bumping, CHANGELOG generation, contributor crediting, and publishing to crates.io and GitHub.
Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Comprehensive Test Driven Development (TDD) assistant for engineering teams, featuring intelligent test generation, coverage analysis, and multi-framework support.
Validate test suite effectiveness and uncover weak assertions by introducing code mutations and measuring kill rates. Essential for proving tests genuinely catch bugs rather than just satisfying coverage metrics.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Architect multi-agent systems to overcome context limits, using patterns like supervisor, swarm, and hierarchical models to manage complex workflows.
Expert-level Java codebase analysis and Maven dependency management skill. Enables deep bytecode inspection, multi-version dependency conflict resolution, and automated project building via MCP integration.
Framework for building, registering, and orchestrating Model Context Protocol (MCP) tools and AI agent workflows within the Hive native Rust architecture.
Convert markdown PRDs into structured prd.json files for the Ralph autonomous AI agent system to enable repeatable, context-aware software development.