Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Track, analyze, and report business KPIs with targets, status flags, trend analysis, and root cause prompts using configurable JSON files.
Track, analyze, and report business KPIs with targets, status flags, trend analysis, and root cause prompts using configurable JSON files.
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Track, analyze, and report on Key Performance Indicators for any business.
When activated, this skill helps you: Define and categorize KPIs (revenue, ops, marketing, customer success) Set targets and thresholds (green/yellow/red) Generate weekly/monthly KPI reports in markdown Flag KPIs that are off-track with root cause prompts Store historical data in a simple JSON file for trend analysis
Tell your agent: "Track these KPIs" or "Give me a KPI report" or "Which metrics are off track?"
Create kpi-config.json in your workspace: { "kpis": [ { "name": "Monthly Recurring Revenue", "category": "revenue", "unit": "$", "target": 50000, "redBelow": 35000, "yellowBelow": 45000 }, { "name": "Customer Churn Rate", "category": "customer", "unit": "%", "target": 3, "redAbove": 7, "yellowAbove": 5 } ] }
Say: "Record MRR at $42,000 for this week" The agent stores entries in kpi-data.json: { "entries": [ { "kpi": "Monthly Recurring Revenue", "value": 42000, "date": "2026-02-13", "note": "Post-launch week" } ] }
Say: "KPI report" and the agent generates a formatted status board: 📊 KPI Report — Week of Feb 10, 2026 🟢 Monthly Recurring Revenue: $48,200 (target: $50,000) — 96.4% 🔴 Customer Churn Rate: 8.1% (target: 3%) — needs attention 🟡 Lead Conversion Rate: 11% (target: 15%) — trending up from 9% ⚠️ Action needed on 1 red, 1 yellow KPI
Say: "Show MRR trend" — the agent reads historical entries and summarizes direction, velocity, and whether you'll hit target at current pace.
Read kpi-config.json for KPI definitions Read/write kpi-data.json for historical values When asked for a report: calculate status for each KPI, format with color indicators When a KPI is red: proactively suggest investigation areas When recording: validate the value makes sense (e.g., churn can't be negative)
Config: kpi-config.json (workspace root or custom path) Data: kpi-data.json (same directory as config) Reports: generated on-demand, optionally saved to reports/kpi-YYYY-MM-DD.md
Pair this with a cron job to generate weekly KPI reports automatically. For deeper business intelligence and pre-built industry KPI templates, check out AfrexAI Context Packs — drop-in configurations that include KPI frameworks for 10+ industries.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.