Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automated business intelligence reports pulling data from Google Analytics GA4, Google Search Console, Stripe revenue, social media metrics (Twitter/X, Linke...
Automated business intelligence reports pulling data from Google Analytics GA4, Google Search Console, Stripe revenue, social media metrics (Twitter/X, Linke...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Business intelligence that writes itself. Pull data from multiple sources, spot trends, and generate beautiful reports โ on demand or on schedule.
Data & Analytics has only 18 skills out of 3,286 on ClawHub โ the most underserved category by far. Yet automated reporting is called "the most universally loved automation" in the OpenClaw community. Every business needs it, nobody has built it properly.
Biz Reporter connects to the user's business tools, pulls key metrics, applies trend analysis, and generates a formatted report. It works with whatever tools the user has โ from a solo founder with just Google Analytics to a team with a full data stack.
Google Analytics (GA4): sessions, users, pageviews, bounce rate, top pages, traffic sources Google Search Console: impressions, clicks, CTR, average position, top queries Access via gog tool, browser automation, or API calls
Stripe: MRR, revenue, new customers, churn, top products PayPal: transaction summaries Access via CLI tools or API calls with stored credentials
Twitter/X: followers, engagement, top posts LinkedIn: page views, post engagement, follower growth Instagram: reach, engagement, follower count Access via APIs or browser automation
HubSpot: leads, pipeline value, deals closed, contact growth Airtable: custom database metrics Access via API with stored keys
Any API: the user can specify custom API endpoints to pull data from CSV files: if the user dumps data as CSV, parse and include it Spreadsheets: Google Sheets via API
Quick pulse check โ 2-3 minutes to generate, meant for morning review. ๐ Daily KPI Snapshot โ [Date] ๐ Website: [sessions] sessions ([+/-]% vs yesterday) Top page: [page] ([views] views) ๐ฐ Revenue: $[amount] ([+/-]% vs yesterday) New customers: [count] ๐ฑ Social: [total engagement] across platforms Best post: [platform] โ [description] ([engagement]) โก Quick take: [One sentence AI analysis of the day]
Comprehensive marketing performance overview. ๐ Weekly Marketing Report โ [Date Range] EXECUTIVE SUMMARY [2-3 sentence overview: what went well, what needs attention, key number] WEBSITE PERFORMANCE โข Sessions: [number] ([%] vs last week) โข Unique visitors: [number] โข Top traffic sources: [source 1] ([%]), [source 2] ([%]), [source 3] ([%]) โข Top 5 pages by traffic: 1. [page] โ [views] views 2. ... โข Bounce rate: [%] ([trend]) SEARCH PERFORMANCE โข Impressions: [number] ([%] change) โข Clicks: [number] ([%] change) โข Average CTR: [%] โข Average position: [number] โข Top gaining queries: [query] (+[positions]) โข Top losing queries: [query] (-[positions]) SOCIAL MEDIA โข Total followers: [number] (net +[growth]) โข Total engagement: [number] โข Best performing post: [description] โข Platform breakdown: - Twitter/X: [followers], [engagement] - LinkedIn: [followers], [engagement] REVENUE (if available) โข Total revenue: $[amount] ([%] vs last week) โข New customers: [count] โข Churn: [count] ([%]) โข MRR: $[amount] TRENDS & INSIGHTS โข [AI-generated insight about notable trends] โข [Comparison to historical averages] โข [Actionable recommendation] NEXT WEEK FOCUS โข [Suggested action based on data]
Deep analysis with historical comparisons and strategic recommendations. Follow the weekly format but expand with: Month-over-month and year-over-year comparisons Cohort analysis for customer retention (if data available) Content performance breakdown (which articles drove traffic) Funnel analysis: visitors โ signups โ customers (if trackable) Strategic recommendations section with specific actions
If the user asks for something specific, build it: "Show me our top 10 pages by revenue contribution" "Compare this month's social engagement to last month" "What keywords are we losing rankings for?"
Biz Reporter doesn't just show numbers โ it spots patterns: Week-over-week anomalies: flag metrics that changed more than 20% from the prior week Declining trends: if a metric has dropped for 3+ consecutive periods, raise it prominently Correlation hints: "Traffic from Twitter spiked 40% โ this correlates with your viral post on [date]" Seasonal patterns: if historical data shows patterns (e.g., weekend dips), note them instead of alerting Comparison framing: always show the comparison baseline so numbers have context
Users can ask questions about their data conversationally: User saysAction"How's our traffic this week?"Quick web analytics summary with week-over-week comparison"What's our MRR?"Pull Stripe data, show current MRR with trend"Which blog posts are getting the most traffic?"Top pages report from GA4"Are we ranking better or worse this month?"Search Console comparison"Generate my weekly report"Full weekly marketing report"How did our launch go?"Pull metrics for a specific date range around the launch"Show me revenue by month for the last 6 months"Historical revenue chart description
Help users set up recurring reports via cron: [ { "name": "Daily KPI snapshot", "schedule": "0 8 * * 1-5", "prompt": "Generate daily KPI snapshot and send to Slack #metrics" }, { "name": "Weekly marketing report", "schedule": "0 9 * * 1", "prompt": "Generate weekly marketing report for last week and send via email" }, { "name": "Monthly business review", "schedule": "0 10 1 * *", "prompt": "Generate monthly business review for last month and post to Notion" } ]
On first use: Discover available tools: check which data sources the user has access to (GA4, Stripe, etc.) Authenticate: help configure API keys or tool access for each source. Store securely in environment variables, never in SKILL.md or memory. Baseline: pull initial data to establish benchmarks for future comparisons Preferences: ask about reporting frequency, delivery channel, and which metrics matter most Store config: save all preferences in workspace memory
Reports can be delivered as: Chat message: formatted directly in the conversation or messaging channel Markdown file: saved to workspace for archival Notion page: if Notion skill is available Email: via configured email skill Slack/Discord message: for team channels
Partial data: if some sources are unavailable, generate the report with what's available and note what's missing No historical data: on first run, can only show current snapshot. Note that comparisons will be available next period. API rate limits: cache data within a session and batch requests Zero traffic / new site: don't show depressing "0 visitors" โ instead focus on setup progress and first wins Multiple properties: if user has multiple websites/products, ask which one or generate combined report Currency: detect user locale and format currency appropriately Privacy: never include individual user data or PII in reports. Aggregate only.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.