client-report

client-report is a Marketing analytics & attribution skill for AI agents, published by indranilbanerjee in the digital-marketing-pro repository on GitHub. Skillspace rates client-report D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Generate a white-labeled client report in agency voice — weekly pulse, monthly review, or QBR — with a KPI scorecard vs targets and comparison period, channel breakdowns, top wins with attribution, root-cause analysis of misses, 3-5 strategic recommendations, and budget efficiency. Requires explicit approval before any external send; only then can it deliver via connected Slack, email, or Google Sheets MCPs and log the delivery. Triggers on \"/digital-marketing-pro:client-report\", \"prepare the monthly report for the client\", \"build the QBR for this account\", \"send the weekly performance pulse\", \"white-labeled performance report\". Reads the brand profile and pulls data via campaign-tracker.py, execution-tracker.py, and connected platform MCPs; formats via report-generator.py.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
815

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubindranilbanerjee/digital-marketing-pro

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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