google-ads-scripts
Expert guidance for Google Ads Script development including AdsApp API, campaign management, keyword bidding, automated rules, performance reporting, and spend optimization.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
509 skills found
Expert guidance for Google Ads Script development including AdsApp API, campaign management, keyword bidding, automated rules, performance reporting, and spend optimization.
Interprets Culture Index (CI) surveys and behavioral profiles. Analyzes team composition, burnout risk, and hiring profiles using data-driven trait assessment.
Unified CLI tool to read, query, discover, and write AI agent conversations using the agents:// URI scheme across multiple coding agents and providers.
Perform internet searches using the Zhipu AI web search API to retrieve real-time information, news, and current data.
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
GoHighLevel workflow automation expert. Integrates with Hylo GHL API to manage workflows, API endpoints, UI navigation, and automation planning.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.
Conduct strategic competitive analysis to map market landscapes, identify direct competitors, synthesize strengths and weaknesses, and uncover differentiation opportunities.
Build distinctive, high-end React Native Expo interfaces using liquid glass design and iOS Human Interface Guidelines for production-grade mobile apps.
Enables multi-tenant isolation for AI agent swarms, ensuring strict data separation, process isolation, and secure resource management between deployments.
Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.
Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.