cf-analyticslisted

Render an ASCII analytics dashboard of ContentForge production history — quality score trends, phase-by-phase pipeline timing, brand and content-type comparisons, compliance and citation metrics, outlier detection, and triggered alerts over a 7/30/90-day window. Triggers on "/contentforge:cf-analytics", "are our quality scores improving", "which pipeline phase is slowest", "show content production stats", "compare brands by quality". Reads tracking records written by Phase 8 to the brand's tracking backend (local JSON, Google Sheets, or Airtable) and alert rules from config/analytics-config.json; needs 10+ tracked pieces for meaningful trends. Analysis only — invokes no agents and never reads or stores content text.
teachskillofskills-ai/ContentForge-techshu · ★ 1 · Data & Documents · score 75

Install: claude install-skill teachskillofskills-ai/ContentForge-techshu

# Content Analytics Dashboard Track ContentForge production quality, pipeline timing, brand-specific patterns, and compliance trends over configurable time periods with automated insights and alert flags. ## When to Use Use `/contentforge:cf-analytics` when you need: - **Quality trend visibility** — Are scores improving or declining over time? - **Pipeline performance audit** — Which phases are slowest? Where are bottlenecks? - **Brand comparison** — Which brands consistently score highest/lowest? - **Content type analysis** — Are articles scoring better than whitepapers? - **Compliance monitoring** — Citation rates, brand adherence, loop frequency - **Capacity planning** — Average throughput for estimating batch timelines **For real-time batch monitoring**, use the Progress Tracker (built into `/contentforge:batch-process`). **For individual content production**, use [`/contentforge:create-content`](../../commands/create-content.md). ## What This Command Does Loads historical production data from the brand's configured tracking backend (Google Sheets, Airtable, or local — see `tracking.backend` in the brand profile), calculates aggregate metrics across configurable dimensions, identifies statistical outliers and concerning trends, generates an ASCII dashboard with actionable recommendations, and flags alerts when performance degrades. **Process Flow:** 1. **Load Data** — Read tracking records from the brand's tracking backend (Google Sheets / Airtable / local JSON) 2