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solo-metrics-track单独指标轨道

Agent Skill

solo-metrics-track 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。

总安装

564

周安装

24

GitHub Stars

15

下载量

198
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:solo-metrics-track(单独指标轨道)
来源仓库:https://github.com/fortunto2/solo-factory
仓库路径:skills/solo-metrics-track
安装命令:
npx skills add https://github.com/fortunto2/solo-factory --skill solo-metrics-track
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/fortunto2/solo-factory --skill solo-metrics-track

简介

solo-metrics-track 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于指标追踪相关的信息检索与筛选需求。
  • 可通过来源仓库和 README 文档了解具体实现方式。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合实际数据源验证其指标计算逻辑。

SKILL.md

/metrics-track

Set up a metrics tracking plan for a project. Defines PostHog event funnel, KPI benchmarks, and kill/iterate/scale decision thresholds based on lean startup principles.

MCP Tools (use if available)

  • kb_search(query) — find PostHog methodology, analytics patterns

If MCP tools are not available, fall back to Grep + Read.

Methodology Reference

This skill implements metrics tracking based on lean startup principles:

  • Relative metrics vs niche benchmarks — compare against your own trajectory, not vanity averages
  • Kill/iterate/scale decision rules — data-driven thresholds for product decisions (see step 7 below)

Steps

  1. Parse project from $ARGUMENTS.

- Read PRD for features, ICP, monetization model. - Read CLAUDE.md for stack (iOS/Web/both). - If empty: ask via AskUserQuestion.

  1. Detect platform:

- iOS app → PostHog iOS SDK events - Web app → PostHog JS SDK events - Both → cross-platform identity (shared user ID across platforms)

  1. Load PostHog methodology:

- If MCP available: kb_search("PostHog analytics events funnel identity") - Otherwise: check project docs for existing analytics configuration - Extract: event naming conventions, identity resolution, funnel pattern

  1. Define event funnel based on PRD features: Standard funnel: Awareness → Acquisition → Activation → Revenue → Retention → Referral See references/kpi-benchmarks.md for the full event table, KPI thresholds, PostHog code snippets, and A/B test template. Adapt events to the specific product.
  2. Forced reasoning — metrics selection: Before defining KPIs, write out:

- North Star Metric: The ONE number that matters most (e.g., "weekly active users who completed core action") - Leading indicators: What predicts the North Star? (e.g., "activation rate D1") - Lagging indicators: What confirms success? (e.g., "MRR", "retention D30") - Vanity metrics to AVOID: (e.g., total downloads without activation)

  1. Set KPI benchmarks per stage: Use thresholds from references/kpi-benchmarks.md as starting point. Adjust for product type (B2B has lower volume/higher conversion, B2C mobile has higher volume/lower retention).
  2. Define decision rules — use kill/iterate/scale framework from references/kpi-benchmarks.md. Adapt thresholds to project-specific values from step 6.
  3. Generate PostHog implementation snippets — use platform-specific examples from references/kpi-benchmarks.md. Adapt event names and properties to the funnel defined in step 4.
  4. A/B Test Analysis Template — copy template from references/kpi-benchmarks.md into the metrics plan. Include decision rules (SHIP / KEEP / EXTEND / INCONCLUSIVE).
  5. Write metrics plan to docs/metrics-plan.md:
# Metrics Plan: {Project Name}

**Generated:** {YYYY-MM-DD}
**Platform:** {iOS / Web / Both}
**North Star:** {north star metric}

## Event Funnel

| Stage | Event | Properties |
|-------|-------|------------|
{event table from step 4}

## KPIs & Thresholds

| KPI | Target | Kill | Scale |
|-----|--------|------|-------|
{benchmark table from step 6}

## Decision Rules

{framework from step 7}

## Implementation

### PostHog Setup
- Project: {project name} (EU region)
- SDK: {posthog-ios / posthog-js}
- Identity: {anonymous → identified on signup}

### Code Snippets
{snippets from step 8}

## A/B Test Template
{template from step 9}

## Dashboard Template
- Funnel: {stage1} → {stage2} → ... → {stageN}
- Retention: D1 / D7 / D30 cohort chart
- Revenue: MRR trend + trial conversion

---
*Generated by /metrics-track. Implement events, then review weekly.*
  1. Output summary — North Star metric, key thresholds, first event to implement, A/B template included.

Notes

  • PostHog EU hosting for privacy compliance
  • Use $set for user properties, capture for events
  • Identity: start anonymous, identify() on signup with user ID
  • Cross-platform: same PostHog project, same user ID → unified journey
  • Review dashboard weekly, make kill/iterate/scale decision monthly

Common Issues

Wrong platform detected

Cause: Project has both web and iOS indicators. Fix: Skill checks package manifests. If both exist, it generates cross-platform identity setup. Verify the detected platform in the output.

KPI thresholds too aggressive

Cause: Default thresholds are industry averages. Fix: Adjust thresholds in docs/metrics-plan.md based on your niche. B2B typically has lower volume but higher conversion.

PostHog SDK not in project

Cause: Metrics plan generated but SDK not installed. Fix: This skill generates the PLAN only. Install PostHog SDK separately: pnpm add posthog-js (web) or add posthog-ios via SPM (iOS).

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.64%
按下载量换算71

Claude

28.34%
按下载量换算56

Cursor

18.1%
按下载量换算36

Gemini CLI

9.43%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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