Track what LLMs say before users choose your developer tool.
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Updated
Apr 23, 2026 - Python
Track what LLMs say before users choose your developer tool.
Hermes Agent 小红书全链路运营 Skill — 首页分析、账号诊断、选题灵感、内容创作、自动发布、评论回复、爆款复刻。基于 CDP 浏览器自动化,Chrome 147+ 兼容。
Portable Claude/Codex/WorkBuddy skill: AllinCMS content ops (raw → wiki → draft → adversarial review → publish → reflect). 6 rounds of adversarial review applied; Karpathy-style living wiki.
Zero Infra Cost - MCP-native ContentOps orchestrator for AI publishing workflows. Notion → QA Gate → WordPress → Slack → Resend. Built-in 11-agent quality checks, 14-server content-stack registry. Self-hosted.
Local-first affiliate and recommendation-link repair pack workflow.
Lead capture -> email drip -> UTM attribution: 3 small Python templates for content-driven lead gen without an expensive marketing stack
Multi-agent LLM pipeline: orchestrator + sub-agents, fail-fast validation gates, evals, cost telemetry, and MCP-style tools. Clean-room demo on public data.
Marketing Hub Kit — approval-first marketing operating system with a visual hub for your brand assets, content pipeline, and connectors. Agent-ready for Claude Code, Codex, and Cursor.
Agent-first local SEO scoring, search-intent and opportunity engine with CLI and optional MCP server.
AI-powered YouTube content operations platform. Automated performance reporting and conversational analytics agent for digital media teams.
Package stories with matched visual assets, usage rights, platform-ready crops, and archival context. One brief in, one publishable package out.
I build practical systems that reduce manual work and prevent mistakes: batch workflows, validation, QA guardrails, and publish ready outputs. This page is a quick entry point to my work sample at: www.amir2000.com
大师安短视频内容运营工作流:爆款分析、Obsidian 知识沉淀、产品库脚本生成与循环交接
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