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Agent Skill · 研究检索

segment-automation(分段自动化)

segment-automation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

segment-automation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 36,347。

总安装 1,939周安装 80GitHub Stars 35,687下载 634核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:segment-automation(分段自动化)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/segment-automation
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill segment-automation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill segment-automation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

segment-automation 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态,注意是否触发联网、命令执行或文件读写。建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/segment-automation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill seg…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

segment-automation 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill segment-autom…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

segment-automation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

segment-automation 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

segment-automation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

segment-automation 用的人多吗?

公开数据是累计安装 1,939 次,近一周安装 80 次,下载 634 次,GitHub 35,687 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

segment-automation 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 35,687 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
segment-automation

分段自动化 · 本页

1,93935,687调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Segment Automation via Rube MCP

Automate Segment customer data platform operations through Composio's Segment toolkit via Rube MCP.

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Segment connection via RUBE_MANAGE_CONNECTIONS with toolkit segment
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit segment
  3. If connection is not ACTIVE, follow the returned auth link to complete Segment authentication
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Track Events

When to use: User wants to send event data to Segment for downstream destinations

Tool sequence:

  1. SEGMENT_TRACK - Send a single track event [Required]

Key parameters:

  • userId: User identifier (required if no anonymousId)
  • anonymousId: Anonymous identifier (required if no userId)
  • event: Event name (e.g., 'Order Completed', 'Button Clicked')
  • properties: Object with event-specific properties
  • timestamp: ISO 8601 timestamp (optional; defaults to server time)
  • context: Object with contextual metadata (IP, user agent, etc.)

Pitfalls:

  • At least one of userId or anonymousId is required
  • event name is required and should follow consistent naming conventions
  • Properties are freeform objects; ensure consistent schema across events
  • Timestamp must be ISO 8601 format (e.g., '2024-01-15T10:30:00Z')
  • Events are processed asynchronously; successful API response means accepted, not delivered

2. Identify Users

When to use: User wants to associate traits with a user profile in Segment

Tool sequence:

  1. SEGMENT_IDENTIFY - Set user traits and identity [Required]

Key parameters:

  • userId: User identifier (required if no anonymousId)
  • anonymousId: Anonymous identifier
  • traits: Object with user properties (email, name, plan, etc.)
  • timestamp: ISO 8601 timestamp
  • context: Contextual metadata

Pitfalls:

  • At least one of userId or anonymousId is required
  • Traits are merged with existing traits, not replaced
  • To remove a trait, set it to null
  • Identify calls should be made before track calls for new users
  • Avoid sending PII in traits unless destinations are configured for it

3. Batch Operations

When to use: User wants to send multiple events, identifies, or other calls in a single request

Tool sequence:

  1. SEGMENT_BATCH - Send multiple Segment calls in one request [Required]

Key parameters:

  • batch: Array of message objects, each with:

- type: Message type ('track', 'identify', 'group', 'page', 'alias') - userId / anonymousId: User identifier - Additional fields based on type (event, properties, traits, etc.)

Pitfalls:

  • Each message in the batch must have a valid type field
  • Maximum batch size limit applies; check schema for current limit
  • All messages in a batch are processed independently; one failure does not affect others
  • Each message must independently satisfy its type's requirements (e.g., track needs event name)
  • Batch is the most efficient way to send multiple calls; prefer over individual calls

4. Group Users

When to use: User wants to associate a user with a company, team, or organization

Tool sequence:

  1. SEGMENT_GROUP - Associate user with a group [Required]

Key parameters:

  • userId: User identifier (required if no anonymousId)
  • anonymousId: Anonymous identifier
  • groupId: Group/organization identifier (required)
  • traits: Object with group properties (name, industry, size, plan)
  • timestamp: ISO 8601 timestamp

Pitfalls:

  • groupId is required; it identifies the company or organization
  • Group traits are merged with existing traits for that group
  • A user can belong to multiple groups
  • Group traits update the group profile, not the user profile

5. Track Page Views

When to use: User wants to record page view events in Segment

Tool sequence:

  1. SEGMENT_PAGE - Send a page view event [Required]

Key parameters:

  • userId: User identifier (required if no anonymousId)
  • anonymousId: Anonymous identifier
  • name: Page name (e.g., 'Home', 'Pricing', 'Dashboard')
  • category: Page category (e.g., 'Docs', 'Marketing')
  • properties: Object with page-specific properties (url, title, referrer)

Pitfalls:

  • At least one of userId or anonymousId is required
  • name and category are optional but recommended for proper analytics
  • Standard properties include url, title, referrer, path, search
  • Page calls are often automated; manual use is for server-side page tracking

6. Alias Users and Manage Sources

When to use: User wants to merge anonymous and identified users, or manage source configuration

Tool sequence:

  1. SEGMENT_ALIAS - Link two user identities together [Optional]
  2. SEGMENT_LIST_SCHEMA_SETTINGS_IN_SOURCE - View source schema settings [Optional]
  3. SEGMENT_UPDATE_SOURCE - Update source configuration [Optional]

Key parameters:

  • For ALIAS:

- userId: New user identifier (the identified ID) - previousId: Old user identifier (the anonymous ID)

  • For source operations:

- sourceId: Source identifier

Pitfalls:

  • ALIAS is a one-way operation; cannot be undone
  • previousId is the anonymous/old ID, userId is the new/identified ID
  • Not all destinations support alias calls; check destination documentation
  • ALIAS should be called once when a user first identifies (e.g., signs up)
  • Source updates may affect data collection; review changes carefully

Common Patterns

User Lifecycle

Standard Segment user lifecycle:

1. Anonymous user visits -> PAGE call with anonymousId
2. User interacts -> TRACK call with anonymousId
3. User signs up -> ALIAS (anonymousId -> userId), then IDENTIFY with traits
4. User takes action -> TRACK call with userId
5. User joins org -> GROUP call linking userId to groupId

Batch Optimization

For bulk data ingestion:

1. Collect events in memory (array of message objects)
2. Each message includes type, userId/anonymousId, and type-specific fields
3. Call SEGMENT_BATCH with the collected messages
4. Check response for any individual message errors

Naming Conventions

Segment recommends consistent event naming:

  • Events: Use "Object Action" format (e.g., 'Order Completed', 'Article Viewed')
  • Properties: Use snake_case (e.g., 'order_total', 'product_name')
  • Traits: Use snake_case (e.g., 'first_name', 'plan_type')

Known Pitfalls

Identity Resolution:

  • Always include userId or anonymousId on every call
  • Use ALIAS only once per user identity merge
  • Identify before tracking to ensure proper user association

Data Quality:

  • Event names should be consistent across all sources
  • Properties should follow a defined schema for downstream compatibility
  • Avoid sending sensitive PII unless destinations are configured for it

Rate Limits:

  • Use BATCH for bulk operations to stay within rate limits
  • Individual calls are rate-limited per source
  • Batch calls are more efficient and less likely to be throttled

Response Parsing:

  • Successful responses indicate acceptance, not delivery to destinations
  • Response data may be nested under data key
  • Check for error fields in batch responses for individual message failures

Timestamps:

  • Must be ISO 8601 format with timezone (e.g., '2024-01-15T10:30:00Z')
  • Omitting timestamp uses server receive time
  • Historical data imports should include explicit timestamps

Quick Reference

TaskTool SlugKey Params
Track eventSEGMENT_TRACKuserId, event, properties
Identify userSEGMENT_IDENTIFYuserId, traits
Batch callsSEGMENT_BATCHbatch (array of messages)
Group userSEGMENT_GROUPuserId, groupId, traits
Page viewSEGMENT_PAGEuserId, name, properties
Alias identitySEGMENT_ALIASuserId, previousId
Source schemaSEGMENT_LIST_SCHEMA_SETTINGS_IN_SOURCEsourceId
Update sourceSEGMENT_UPDATE_SOURCEsourceId
WarehousesSEGMENT_LIST_CONNECTED_WAREHOUSES_FROM_SOURCEsourceId

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

平台分布

Codex

35.79%
按下载量换算227

Claude

28.69%
按下载量换算182

Cursor

20.76%
按下载量换算132

Gemini CLI

9.8%
按下载量换算62

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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