client-report

Solid

Generate client-facing reports. Use when: white-labeled performance report with KPIs, trends, strategic recommendations.

AI & Automation 136 stars 37 forks Updated 3 days ago MIT

Install

View on GitHub

Quality Score: 87/100

Stars 20%
71
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# /digital-marketing-pro:client-report ## Purpose Generate a professional, white-labeled client report for a specific brand. Uses agency voice (not brand voice), includes KPI performance, channel breakdowns, strategic recommendations, and next steps. Designed for external client delivery via Slack, email, Google Sheets, or markdown — with approval gating before any external send to prevent accidental disclosure or premature delivery of draft findings. ## Input Required The user must provide (or will be prompted for): - **Brand slug**: The brand this report covers — must match a configured brand in `~/.claude-marketing/brands/` - **Report type**: One of: - Weekly pulse: Quick KPI snapshot with 3-5 key metrics and brief commentary - Monthly review: Full performance analysis with channel breakdowns and recommendations - QBR: Quarterly deep-dive with strategic roadmap and forward plan - **Date range**: Specific start and end dates for the reporting period — defines what data is pulled and analyzed - **Delivery channel**: Where the report should be sent — slack, email, google-sheets, or markdown-only (no external delivery, just generate the artifact) - **Custom sections (optional)**: Any additional sections the client has requested — competitive update, creative performance breakdown, audience insights, attribution deep-dive, or ad-hoc investigation topic - **Comparison period**: What to compare against — prior period, same period last year, plan/target, or all three si...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
4 months ago
Last Updated
3 days ago
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category