Growth Analytics logo

Growth Analytics

Organization
devcodex-labs
growth-analytics

增长分析专家 Owner — 当任务涉及增长指标、埋点、漏斗、转化、留存、实验、产品数据决策、增长看板或数据驱动优化时使用;要求把事件、指标、隐私边界和决策闭环绑定到真实用户行为。

Overview

Publisherdevcodex-labs
Repositorydevcodex
Skill namegrowth-analytics
Stars
433
Forks
44
Bundled files
1
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by devcodex-labs on GitHub. Read the source before you install it.

Installation

Install the Growth Analytics AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/devcodex-labs/devcodex/tree/main/content/skills/growth-analytics
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/devcodex-labs/devcodex.git /tmp/devcodex
mkdir -p .claude/skills
cp -r /tmp/devcodex/content/skills/growth-analytics .claude/skills/growth-analytics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Growth Analytics in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Growth Analytics on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Growth Analytics is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Growth Analytics Skill

定位

本 Skill 负责增长分析 Owner 视角。它是 P3 条件触发能力,只在增长、转化、留存、实验和产品数据决策出现时启用。它不替代普通日志、性能监控、错误监控或审计日志。

触发条件

场景是否触发
用户要求增长、转化、漏斗、留存、激活、复购、获客、运营指标或增长看板必须
功能设计需要埋点、事件命名、指标口径、实验分流或数据驱动决策必须
文档、产品方案或报告需要说明成功指标和行为数据验证可选,命中产品增长语义时触发
普通日志、性能指标、错误监控、审计日志、SRE 可观测性N/A + skipReason

核心门禁

Gate要求证据
GrowthAnalyticsGate增长问题、指标、事件、实验和决策闭环必须完整growthQuestion、decisionLoop
MetricTaxonomyGate北极星、输入指标、护栏指标、分群维度和反作弊口径必须定义metricTaxonomy
EventInstrumentationGate事件必须有命名、触发时机、属性、去重、采样和版本策略eventInstrumentation
FunnelRetentionGate漏斗、留存、 cohort 和流失原因不能只写概念funnelRetentionModel
ExperimentDesignGate实验必须有假设、分流、样本、停止条件、护栏和回滚experimentDesign
PrivacyConsentGate埋点和分析必须说明隐私、同意、最小化和保留边界privacyConsentBoundary

执行步骤

  1. 明确增长问题:目标用户、行为路径、业务目标和可观察结果。
  2. 定义指标分类:北极星、输入指标、护栏指标、分群维度和口径来源。
  3. 设计事件模型:事件名、触发时机、属性、去重、版本和采集失败处理。
  4. 建立漏斗、留存或实验方案,写清假设、样本、停止条件和回滚。
  5. 检查隐私、同意、数据最小化和数据保留策略。
  6. 写出决策闭环:什么信号触发继续、停止、回滚或二次实验。

输出字段

markdown
## GrowthAnalyticsGate

| 字段 | 内容 |
|------|------|
| growthQuestion | 增长问题、目标用户、行为路径、业务目标 |
| metricTaxonomy | 北极星、输入指标、护栏指标、分群、口径 |
| eventInstrumentation | 事件名、触发时机、属性、去重、采样、版本 |
| funnelRetentionModel | 漏斗、留存、cohort、转化和流失分析 |
| experimentDesign | 假设、分流、样本、停止条件、护栏、回滚 |
| privacyConsentBoundary | 隐私、同意、最小化、保留、用户可见说明 |
| decisionLoop | 数据如何驱动继续、停止、回滚或下一轮实验 |
| evidenceMatrix | 判断 -> 用户行为 / 事件 / 指标 / 查询 / 实验 / 文档 |

反模式

反模式修正
把所有日志都叫埋点区分增长事件、SRE 日志、审计日志和调试日志
只写 DAU、转化率,没有口径和分群补 MetricTaxonomyGate
先加事件,后想用途从 growthQuestion 和 decisionLoop 反推事件
实验没有停止条件或护栏指标补 ExperimentDesignGate
采集用户行为但不说明隐私和同意补 PrivacyConsentGate

与其他 Skill 的关系

  • product-strategy:定义用户价值和成功信号;本 Skill 将其量化为增长指标和实验闭环。
  • data-architecture:负责数据模型、质量和消费者;本 Skill 负责增长指标和行为事件语义。
  • production-readiness-sre:负责运行可观测性;本 Skill 不替代 SRE 指标。
  • business-model-review:商业化指标或收入实验需要与商业模型联动。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Growth Analytics AI skill do?

增长分析专家 Owner — 当任务涉及增长指标、埋点、漏斗、转化、留存、实验、产品数据决策、增长看板或数据驱动优化时使用;要求把事件、指标、隐私边界和决策闭环绑定到真实用户行为。

Why use Growth Analytics on TypingMind?

Because you install it once and use it with any model. Growth Analytics is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Growth Analytics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/devcodex-labs/devcodex/tree/main/content/skills/growth-analytics. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Growth Analytics?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Growth Analytics?

As many as you like. As long as a model supports skills, you can use Growth Analytics with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Growth Analytics AI skill free?

Yes. It is published on GitHub by devcodex-labs under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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