agentic/code/frameworks/media-marketing-kit/skills/budget-review/SKILL.md
Project directory path (default current directory)
npx skillsauth add jmagly/aiwg budget-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Analyze marketing budget performance with spend tracking, ROI analysis, and optimization recommendations.
Tracks Spending
Analyzes ROI
Provides Recommendations
Budget Review Request
↓
[Budget Planner] → Budget Analysis
↓
[Marketing Analyst] → Performance Correlation
↓
[Attribution Specialist] → Channel ROI
↓
[Campaign Orchestrator] → Campaign Efficiency
↓
[Reporting Specialist] → Budget Report
↓
Budget Review Complete
| Agent | Role | Output | |-------|------|--------| | Budget Planner | Lead analysis | Budget tracking | | Marketing Analyst | Performance | ROI analysis | | Attribution Specialist | Attribution | Channel efficiency | | Campaign Orchestrator | Campaigns | Campaign costs | | Reporting Specialist | Reporting | Final report |
Saved to .aiwg/marketing/budget/:
budget-review-{period}.md - Budget analysisroi-analysis.md - ROI breakdownvariance-report.md - Budget vs. actualrecommendations.md - Optimization suggestionsforecast.md - Forward projectionsPurpose: Provide upfront direction to tailor priorities and approach
Examples:
--guidance "Q4 optimization, reallocate underperforming channels"
--guidance "New budget request justification"
--guidance "Year-end close, maximize ROI"
How Applied:
Purpose: Guide through discovery questions for comprehensive input
Questions Asked (if --interactive):
# Quarterly review
/budget-review "Q3 2024"
# YTD paid media
/budget-review "YTD" --budget-area paid-media
# Monthly all areas
/budget-review "October 2024" --budget-area all
# With strategic guidance
/budget-review "Example" --guidance "Your specific context here"
# Interactive mode
/budget-review "Example" --interactive
data-ai
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.