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).
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install fortunto2/solo-metrics-trackExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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 $ARGUMENTS.
Detect platform:
Load PostHog methodology:
kb_search("PostHog analytics events funnel identity")
Define event funnel based on PRD features:
Standard funnel stages (adapt per product):
Awareness → Acquisition → Activation → Revenue → Retention → Referral
Map to concrete events:
| Stage | Event Name | Trigger | Properties |
|---|---|---|---|
| Awareness | page_viewed |
Landing page visit | source, utm_* |
| Acquisition | app_installed or signed_up |
First install/signup | platform, source |
| Activation | core_action_completed |
First key action | feature, duration_ms |
| Revenue | purchase_completed |
First payment | plan, amount, currency |
| Retention | session_started |
Return visit (D1/D7/D30) | ... |
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# /metrics-track
Set up a metrics tracking plan for a project. Defines PostHog event funnel, KPI benchmarks, and kill/iterate/scale decision thresholds based on lean startup principles.
## MCP Tools (use if available)
- `kb_search(query)` — find PostHog methodology, analytics patterns
If MCP tools are not available, fall back to Grep + Read.
## Methodology Reference
This skill implements metrics tracking based on lean startup principles:
- **Relative metrics vs niche benchmarks** — compare against your own trajectory, not vanity averages
- **Kill/iterate/scale decision rules** — data-driven thresholds for product decisions (see step 7 below)
## Steps
1. **Parse project** from `$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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