email-marketer

by ckchzh

Plan email campaigns with segmentation, A/B testing, and benchmarking. Use when designing campaigns, segmenting lists, benchmarking rates.

3.8k平台与服务未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/ckchzh/email-marketer

文档

Email Marketer

AI toolkit for email marketing operations — configure, benchmark, compare, prompt, evaluate, fine-tune, analyze, cost, usage, optimize, test, and report. All entries are logged locally with timestamps for tracking and audit.

Commands

CommandDescription
email-marketer configure <input>Configure email marketing settings or record a config entry
email-marketer benchmark <input>Run benchmarks or record a benchmark entry
email-marketer compare <input>Compare campaigns or record a comparison entry
email-marketer prompt <input>Generate or record email prompts
email-marketer evaluate <input>Evaluate campaign performance or record an evaluation entry
email-marketer fine-tune <input>Fine-tune parameters or record a fine-tuning entry
email-marketer analyze <input>Analyze campaign data or record an analysis entry
email-marketer cost <input>Track costs or record a cost entry
email-marketer usage <input>Track usage metrics or record a usage entry
email-marketer optimize <input>Optimize campaigns or record an optimization entry
email-marketer test <input>Run A/B tests or record a test entry
email-marketer report <input>Generate reports or record a report entry
email-marketer statsShow summary statistics across all entry types
email-marketer export <fmt>Export all data (json, csv, or txt)
email-marketer search <term>Search across all log entries by keyword
email-marketer recentShow the 20 most recent activity entries
email-marketer statusHealth check — version, data dir, entry count, disk usage
email-marketer helpShow help with all available commands
email-marketer versionShow current version (v2.0.0)

Each command (configure, benchmark, compare, prompt, evaluate, fine-tune, analyze, cost, usage, optimize, test, report) works in two modes:

  • No arguments: displays the 20 most recent entries from that command's log
  • With arguments: records the input with a timestamp and appends to the command's log file

Data Storage

All data is stored locally at ~/.local/share/email-marketer/. Each action is logged to its own file (e.g., configure.log, benchmark.log, analyze.log). A unified history.log tracks all operations. The built-in export function supports JSON, CSV, and plain text formats.

Requirements

  • bash 4+ (uses set -euo pipefail)
  • Standard Unix utilities (wc, du, grep, tail, sed, date)

When to Use

  • Tracking email campaign configurations and benchmark results
  • Logging A/B test outcomes and evaluation metrics
  • Recording cost and usage data for email marketing operations
  • Fine-tuning campaign parameters with documented history
  • Analyzing campaign performance trends over time
  • Exporting marketing data for stakeholder reports

Examples

bash
# Configure a new campaign
email-marketer configure "weekly newsletter — segment: active users, send: Tuesday 9AM"

# Record a benchmark result
email-marketer benchmark "open rate 24.5%, click rate 3.2%, industry avg 21%"

# Compare two campaigns
email-marketer compare "Campaign A: 28% open vs Campaign B: 22% open"

# Evaluate campaign performance
email-marketer evaluate "Q1 drip sequence — 15% conversion, 2.1% unsubscribe"

# Record a cost entry
email-marketer cost "March send volume: 50K emails, cost: $45"

# Run an A/B test
email-marketer test "Subject line A vs B — A won with 31% open rate"

# View recent activity
email-marketer recent

# Export all data as CSV
email-marketer export csv

# Search for entries about "onboarding"
email-marketer search onboarding

# Check overall health
email-marketer status

Powered by BytesAgain | bytesagain.com | hello@bytesagain.com

相关 Skills

MCP构建

by anthropics

Universal
热门

聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。

想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。

平台与服务
未扫描111.1k

Slack动图

by anthropics

Universal
热门

面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。

帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。

平台与服务
未扫描111.1k

MCP服务构建器

by alirezarezvani

Universal
热门

从 OpenAPI 一键生成 Python/TypeScript MCP server 脚手架,并校验 tool schema、命名规范与版本兼容性,适合把现有 REST API 快速发布成可生产演进的 MCP 服务。

帮你快速搭建 MCP 服务与后端 API,脚手架完善、扩展顺手,尤其适合想高效验证服务能力的开发者。

平台与服务
未扫描9.6k

相关 MCP 服务

Slack 消息

编辑精选

by Anthropic

热门

Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。

这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。

平台与服务
83.0k

by netdata

热门

io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。

这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。

平台与服务
78.3k

by d4vinci

热门

Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。

这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。

平台与服务
34.8k

评论