nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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).
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install fortunto2/solo-metrics-track打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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.
kb_search(query) — find PostHog methodology, analytics patternsIf MCP tools are not available, fall back to Grep + Read.
This skill implements metrics tracking based on lean startup principles:
Parse project from $ARGUMENTS.
Detect platform:
Load PostHog methodology:
kb_search("PostHog analytics events funnel identity")
Define event funnel based on PRD features:
Standard funnel stages (adapt per product):
Awareness → Acquisition → Activation → Revenue → Retention → Referral
Map to concrete events:
| Stage | Event Name | Trigger | Properties |
|---|---|---|---|
| Awareness | page_viewed |
Landing page visit | source, utm_* |
| Acquisition | app_installed or signed_up |
First install/signup | platform, source |
| Activation | core_action_completed |
First key action | feature, duration_ms |
| Revenue | purchase_completed |
First payment | plan, amount, currency |
| Retention | session_started |
Return visit (D1/D7/D30) | ... |
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# /metrics-track
Set up a metrics tracking plan for a project. Defines PostHog event funnel, KPI benchmarks, and kill/iterate/scale decision thresholds based on lean startup principles.
## MCP Tools (use if available)
- `kb_search(query)` — find PostHog methodology, analytics patterns
If MCP tools are not available, fall back to Grep + Read.
## Methodology Reference
This skill implements metrics tracking based on lean startup principles:
- **Relative metrics vs niche benchmarks** — compare against your own trajectory, not vanity averages
- **Kill/iterate/scale decision rules** — data-driven thresholds for product decisions (see step 7 below)
## Steps
1. **Parse project** from `$ARGUMENTS`.
- Read PRD for features, ICP, monetization model.
- Read CLAUDE.md for stack (iOS/Web/both).
- If empty: ask via AskUserQuestion.
2. **Detect platform:**
- iOS app → PostHog iOS SDK events
- Web app → PostHog JS SDK events
- Both → cross-platform identity (shared user ID across platforms)
3. **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
4. **Define event funnel** based on PRD features:
Standard funnel stages (adapt per product):
```
Awareness → Acquisition → Activation → Revenue → Retention → Referral
```
Map to concrete events:
| Stage | Event Name | Trigger | Properties |
|-------|-----------|---------|------------|
| Awareness | `page_viewed` | Landing page visit | `source`, `utm_*` |
| Acquisition | `app_installed` or `signed_up` | First install/signup | `platform`, `source` |
| Activation | `core_action_completed` | First key action | `feature`, `duration_ms` |
| Revenue | `purchase_completed` | First payment | `plan`, `amount`, `currency` |
| Retention | `session_started` | Return visit (D1/D7/D30) |...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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