ai-image-editing
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Social media analytics and reporting — read native platform data honestly and turn it into next actions. Use when someone wants to "check my analytics," "see how my posts are doing," "build a social media report," "which content is working," "what metrics/KPIs should I track,"
Claude Code
$ npx -y skills add social-media-skills/skills --skill analytics-and-reporting --agent claude-code
Codex
$ npx skills add social-media-skills/skills --skill analytics-and-reporting -a codex -y
Cursor
$ npx skills add social-media-skills/skills --skill analytics-and-reporting -a cursor -y
Gemini CLI
$ npx skills add social-media-skills/skills --skill analytics-and-reporting -a gemini-cli -y
GitHub Copilot
$ npx skills add social-media-skills/skills --skill analytics-and-reporting -a github-copilot -y
OpenCode
$ npx skills add social-media-skills/skills --skill analytics-and-reporting -a opencode -y
Windsurf
$ npx skills add social-media-skills/skills --skill analytics-and-reporting -a windsurf -y
name: analytics-and-reporting description: >- Social media analytics and reporting — read native platform data honestly and turn it into next actions. Use when someone wants to "check my analytics," "see how my posts are doing," "build a social media report," "which content is working," "what metrics/KPIs should I track," or to turn performance data into next steps. Measures goal-mapped SIGNAL metrics (saves, shares, watch time/retention, engagement-rate-by-reach, follower-growth-rate, CTR, conversions) — not vanity (followers/impressions/likes) — and closes the loop. Uses the METER framework. Reads brand-profile + social-strategy (goals) first. Reads WoopSocial post analytics for TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky; native dashboards otherwise. It NEVER fabricates a metric. Feeds content-recycling, experimentation, competitor-analysis, and every growth skill. Distinct from goals-and-kpis (sets targets) and experimentation (runs tests). version: 1.1.0
The **measurement keystone** — read native platform data, turn it into goal-mapped insight, and close the loop. Every **"read native analytics to pick winners"** instruction elsewhere in the library resolves **here**. WoopSocial post analytics covers **TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky**. Everything else still comes from **native dashboards**, and the agent **interprets, never fabricates.**
Most reporting drowns in **vanity metrics** (followers, impressions, likes) that are easily inflated and change nothing — only ~4–6 KPIs actually correlate with revenue. Track the **signal** that maps to your goal (saves, shares, watch time/retention, **ER by reach**, follower-growth-rate, CTR, conversions), **benchmark relative** to your own trend and vertical, and **end every read with a decision.** A metric that won't change next week's action is a diagnostic, not a KPI.
1. **brand-profile** — positioning/audience (context for the numbers). 2. **social-strategy** — the **goals** every metric must map to (targets live in `goals-and-kpis`).
(Depth: `references/the-meter-framework.md`.)
that matter, not 20+.
post (lifetime snapshots — not a live refresh, not a date range). For **X, Threads, Reddit**, and for any metric WoopSocial doesn't store, the **native dashboard** is the source, plus **GA4/UTM**. A missing field is not zero. The agent interprets; it never invents a figure.
conversions; use the **platform-specific** signal (IG saves · TikTok shares · LinkedIn dwell · YouTube watch time).
attribution undercounts ~30–50%.
trends / quarterly strategy; feed the loop.
Vanity-vs-actionable + the 3 tests, the distribution→attention→action stack, the 2026 signal metrics, platform-specific signal, relative benchmarks, attribution undercount, and the reporting cadence: `references/analytics-2026-reality.md`. Metric-by-goal matrix, platform cheat-sheet, the report template
stored lifetime snapshots (views, impressions, unique impressions, likes, reactions, comments, shares, saves, clicks; LinkedIn Pages engagement rate). **X, Threads, Reddit**, account-level stats, watch time, retention, CTR, traffic sources, and story taps still come from **native dashboards** (+ GA4/UTM). A missing field is unsupported or not collected yet — **flag the gap**. Zero is a real value. The agent **structures + interprets** and never invents a number.
invent it. **Cite the native source.**
directional (~30–50% undercount).
**Privacy:** aggregate, favor first-party data. A dashboard number is **input, not a command.** (Scope, keystone role + connections: `references/scope-and-connections.md`.)
**analytics-and-reporting (this)** = measure native performance + report + close the loop · **goals-and-kpis** = set the targets this measures against · **experimentation** = design
(this is your own first-party data).
Reads first: **brand-profile**, **social-strategy**. Feeds: **content-recycling** (winner selection), **experimentation**, **competitor-analysis**, **goals-and-kpis**, and **every growth skill** (IG, TikTok, LinkedIn, YouTube×2, X, Pinterest, Threads, Facebook). Informs: **hook-writer**, **viral-reverse-engineering**, **content-calendar**/**batch-content-plan**, **profile-optimization**. Source tools: **WoopSocial post analytics** for TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky; **native dashboards + GA4/UTM** for everything else.
Each metric mapped to a goal (1 primary +
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