google-ads
Google Ads integration for managing campaigns, accounts, budgets, and reporting via Membrane CLI. Streamline your advertising workflow with automated authentication and cross-resource management.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
368 skills found
Google Ads integration for managing campaigns, accounts, budgets, and reporting via Membrane CLI. Streamline your advertising workflow with automated authentication and cross-resource management.
Meta Marketing CLI for Graph API automation, managing ad campaigns, insights reporting, and Instagram publishing with fail-closed security.
Secure, isolated cloud sandbox environments for executing AI-generated code, running multi-language scripts, managing file systems, and integrating tools via the E2B MCP gateway.
Create and update comprehensive GitHub issues with full technical context to prevent requirement loss and reduce implementation friction.
Orchestrate an automated PR review-fix loop. Dispatches subagents to analyze code, CI status, and comments, then applies iterative fixes until the PR reaches a passing state.
Create curated news, tech, and research paper digests using high-quality sources. Perfect for daily roundups, topic tracking, and filtering noise.
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
A unified Solana development skill hub featuring multi-agent orchestration, progressive skill loading, and deep integrations for Anchor, Token-2022, DeFi protocols, and security auditing.
Manage CI/CD workflows, Docker containerization, and infrastructure configurations for the multi-chain crypto wallet system.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.
Review Hyperlane documentation changes against project standards, ensuring compliance with architectural patterns and content guidelines.