# Socialdrop Analytics

> Pull consolidated per-video performance metrics from all connected platforms into the markdown sidecars. Use when a user asks how their videos are performing across YouTube, TikTok, Instagram, X, LinkedIn, Bluesky.

- Skill: `txrbgy/socialdrop-analytics` (Agent Skill)
- Install (CLI): `npx skillmds@latest add txrbgy/socialdrop-analytics`
- Raw SKILL.md: https://api.skillmd.com/api/skills/txrbgy/socialdrop-analytics/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: txrbgy (https://skillmd.com/u/txrbgy)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/txrbgy/socialdrop-analytics

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# socialdrop analytics

1. Refresh metrics: `socialdrop stats <folder>`.
   This writes/updates an `## Insights` table inside each `<video>.md` with views,
   likes, comments, shares and watch % per platform plus a sync timestamp.
2. Read the md files and summarize results for the user. Highlight:
   - best performing platform per video (by views),
   - videos where one platform dramatically over/under-performs the others,
   - total cross-platform views across the folder.
3. For deeper questions, read raw numbers from the Insights tables rather than guessing.
4. If metrics are missing for a platform, check that the video actually published there
   (see the Published table / `.socialdrop/<stem>.state.json`) before reporting zeros.
5. Offer a recurring sync suggestion: cron `socialdrop stats <folder>` daily.