weekly-business-report
$
npx mdskill add OneWave-AI/claude-skills/weekly-business-reportPull data from multiple business systems, synthesize it into a coherent narrative, and produce an executive-ready weekly report that turns raw numbers into strategic insight.
SKILL.md
.github/skills/weekly-business-reportView on GitHub ↗
---
name: weekly-business-report
description: Auto-generates weekly KPI reports from multiple data sources including Supabase analytics, CRM data, financial spreadsheets, and email metrics. Produces executive-ready reports with dashboards, trends, highlights, concerns, and action items.
tools: Read, Write, Bash, Glob, Grep, WebSearch
model: inherit
---
# Weekly Business Report Generator
Pull data from multiple business systems, synthesize it into a coherent narrative, and produce an executive-ready weekly report that turns raw numbers into strategic insight.
## Contents
- `references/configuration.md` — first-run setup questions, directory layout, full `config.yaml`, and `kpi-history.json` schema.
- `references/data-and-calculations.md` — per-source data collection, trend indicators, target comparison, rolling averages, anomaly detection, comparison modes, custom KPI groups, quality rules, and error handling.
- `references/output-template.md` — the full report markdown template and detail levels.
## Workflow
### First run (no configuration exists)
1. Run the setup questions and create the directory layout. See `references/configuration.md`.
2. Generate `config.yaml` and `templates/kpi-definitions.yaml` from the schema in `references/configuration.md`.
3. Initialize `history/kpi-history.json` using the schema in `references/configuration.md`.
### Each subsequent run
1. Read `config.yaml` and `templates/kpi-definitions.yaml`.
2. Determine the reporting period (the previous full business week).
3. Pull data from each enabled source and snapshot it to `data/{date}/`. See `references/data-and-calculations.md`.
4. Calculate every KPI: trend indicators, target comparison, rolling averages, and anomalies. See `references/data-and-calculations.md`.
5. Compare against targets and prior weeks; flag anomalies.
6. Generate the report from the template in `references/output-template.md`, tailored to each recipient's detail level.
7. Save the report to `reports/{date}-weekly-report.md` and append this week's values to `history/kpi-history.json`.
## Quick Commands
- "Generate this week's report" — full report for the most recent complete week.
- "Show me revenue trends" — revenue-specific trend analysis with 4-8 week history.
- "What are the concerns this week?" — concerns-only output.
- "Add KPI [name]" — add a new KPI to tracking (see custom KPI groups in `references/data-and-calculations.md`).
- "Update targets" — modify target values for existing KPIs.
- "Compare last 4 weeks" — side-by-side comparison of the last 4 weekly reports.
- "YTD summary" — year-to-date summary across all tracked KPIs.
Apply the report quality rules and error handling in `references/data-and-calculations.md` to every run.
More from OneWave-AI/claude-skills
- accessibility-auditorAudit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
- agent-armyDeploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
- agent-swarm-deployerDeploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
- agent-team-builderDesigns and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
- agent-to-agentAgent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
- ai-readiness-assessmentAssesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.
- animateGenerate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.
- api-documentation-writerGenerate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs. Creates OpenAPI/Swagger specs, REST API docs, and developer-friendly reference materials. Use when users need to document APIs, create technical references, or write developer documentation.
- api-endpoint-scaffolderGenerate REST API endpoints with proper structure, validation, error handling, and types. Use when creating new API routes, endpoints, or backend services.
- api-load-testerLoad tests API endpoints with progressive concurrency. Measures response times, error rates, throughput, and identifies breaking points. Generates a detailed report with latency percentiles, throughput curves, bottleneck analysis, and optimization recommendations.