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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 OpenClaw 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。

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周安装

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下载量

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OpenClaw

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

MIT-0

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-metrics-track
安装命令:
openclaw skills install 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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install solo-metrics-track

简介

使用 PostHog 设置事件漏斗与 KPI 基准指标体系。

  • 定义终止/迭代/规模决策阈值辅助产品方向判断。
  • 输出可视化图表与告警规则便于实时监控。solo-metrics-track 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需提前部署 PostHog 实例并配置数据整理 SDK。
  • 指标定义应避免模糊表述以确保可测量性。

SKILL.md

name
solo-metrics-track
description
Set up PostHog metrics plan with event funnel, KPI benchmarks, and kill/iterate/scale decision thresholds. Use when user says "set up metrics", "track KPIs", "PostHog events", "funnel analysis", "when to kill or scale", or "success metrics". Do NOT use for SEO metrics (use /seo-audit).
license
MIT
metadata
author
fortunto2
version
1.1.1
openclaw
emoji
📈
allowed-tools
Read, Grep, Glob, Write, AskUserQuestion, mcp__solograph__kb_search
argument-hint
<project-name>

/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 stages (adapt per product):

   Awareness → Acquisition → Activation → Revenue → Retention → Referral

Map to concrete events:

StageEvent NameTriggerProperties
Awarenesspage_viewedLanding page visitsource, utm_*
Acquisitionapp_installed or signed_upFirst install/signupplatform, source
Activationcore_action_completedFirst key actionfeature, duration_ms
Revenuepurchase_completedFirst paymentplan, amount, currency
Retentionsession_startedReturn visit (D1/D7/D30)session_number, days_since_install
Referralinvite_sentShared or referredchannel, referral_code
  1. 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:
KPITargetKill ThresholdScale ThresholdSource
Landing → Signup3-5%< 1%> 8%Industry avg
Signup → Activation20-40%< 10%> 50%Product benchmark
D1 Retention25-40%< 15%> 50%Mobile avg
D7 Retention10-20%< 5%> 25%Mobile avg
D30 Retention5-10%< 2%> 15%Mobile avg
Trial → Paid2-5%< 1%> 8%SaaS avg

Adjust based on product type (B2C vs B2B, free vs paid, mobile vs web).

  1. Define decision rules (lean startup kill/iterate/scale):
   ## Decision Framework

   **Review cadence:** Weekly (Fridays)

   ### KILL signals (any 2 = kill)
   - [ ] Activation rate < {kill_threshold} after 2 weeks
   - [ ] D7 retention < {kill_threshold} after 1 month
   - [ ] Zero organic signups after 2 weeks of distribution
   - [ ] CAC > 3x LTV estimate

   ### ITERATE signals
   - [ ] Metrics between kill and scale thresholds
   - [ ] Qualitative feedback suggests product-market fit issues
   - [ ] One stage of funnel is dramatically worse than others

   ### SCALE signals (all 3 = scale)
   - [ ] Activation rate > {scale_threshold}
   - [ ] D7 retention > {scale_threshold}
   - [ ] Organic growth > 10% week-over-week
  1. Generate PostHog implementation snippets:

### For iOS (Swift):

   // Event tracking examples
   PostHogSDK.shared.capture("core_action_completed", properties: [
       "feature": "scan_receipt",
       "duration_ms": elapsed
   ])

### For Web (TypeScript):

   // Event tracking examples
   posthog.capture('signed_up', {
       source: searchParams.get('utm_source') ?? 'direct',
       plan: 'free'
   })
  1. 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}

   ## 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.

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

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

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按下载量换算6,180

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external-service

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安装前确认

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