lead-gen-pipeline
AI-powered lead generation pipeline: intelligent lead scoring (0-100) and context-aware follow-up generation for sales, cold outreach, and CRM integration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
363 skills found
AI-powered lead generation pipeline: intelligent lead scoring (0-100) and context-aware follow-up generation for sales, cold outreach, and CRM integration.
Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.
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.
Manage Things 3 todos, projects, areas, and tags on macOS with this powerful CLI interface for your personal AI assistant.
Production-grade testing strategy implementing feature flags, canary releases, synthetic monitoring, and chaos engineering for continuous reliability in live environments.
Fetch real-time financial signals, transmission-chain reasoning, and market confidence metrics directly from the DeepEar Lite platform.
Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.
AI-powered Kubernetes and OpenShift troubleshooting. Proactively assess cluster health, debug pod failures, analyze logs, and validate security using Popeye-inspired patterns.
Manage your Apple Reminders directly from your terminal. List, add, edit, complete, or delete reminders and lists using remindctl.
High-quality Feishu/Lark Docx writing via OpenClaw. Convert Markdown into well-formatted Feishu Docx with support for headings, lists, nesting, and code blocks using feishu_docx_write_markdown.
Automate social media content publishing using agent-browser to draft posts on platforms like Xiaohongshu, X, Weibo, WeChat, and Juejin directly from your browser.
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.