analytics-and-reporting — скилл для Claude Code: обзор и установка
Превращает сырую статистику соцсетей в практические выводы по методике METER без накрученных метрик вроде лайков или просмотров.
npx skills add social-media-skills/skills --skill analytics-and-reporting -a claude-codeЧто делает analytics-and-reporting
Скилл анализирует публикации на основе фреймворка METER и отделяет реальные сигналы от метрик тщеславия. Вместо отслеживания общего числа подписчиков агент фокусируется на сохранениях, репостах, удержании аудитории, коэффициенте вовлечённости по охвату и конверсиях. Для работы ему требуются файлы brand-profile с аудиторией и social-strategy с бизнес-целями.
Данные берутся из снапшотов WoopSocial для TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube и Bluesky. Для X, Threads, Reddit, а также для времени просмотра или кликабельности скилл опирается на нативные дашборды и GA4 с UTM-метками. Главное правило: агент никогда не додумывает пропущенные цифры. Если поле не заполнено, система помечает пробел, а не ставит ноль. Итоговый отчёт всегда завершается ровно тремя практическими рекомендациями.
Какие задачи решает
- отфильтровать метрики тщеславия и вычленить показатели конверсий и сохранений
- составить отчёт по результатам постов с тремя практическими выводами
- связать показатели публикаций со стратегией и целями бренда
- выявить успешные публикации для повторного использования контента
Примеры запросов агенту
- Собери отчёт по эффективности постов в LinkedIn за прошлую неделю и предложи три шага.
- Проанализируй метрики вовлечённости для TikTok из сохранённых данных и найди публикации-лидеры.
- Посмотри статистику просмотров на YouTube и покажи процент удержания аудитории.
Как установить analytics-and-reporting
1Через Skills CLI (Vercel)
npx skills add social-media-skills/skills --skill analytics-and-reporting -a claude-code2Вручную: положить файлы
~/.claude/skills/analytics-and-reporting/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/analytics-and-reporting/
1Через Skills CLI (Vercel)
npx skills add social-media-skills/skills --skill analytics-and-reporting -a codex2Вручную: положить файлы
.agents/skills/analytics-and-reporting/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add social-media-skills/skills --skill analytics-and-reporting -a cursor2Вручную: положить файлы
.cursor/skills/analytics-and-reporting/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install social-media-skills/skills analytics-and-reporting2Вручную: положить файлы
.github/skills/analytics-and-reporting/SKILL.md1Через Skills CLI (Vercel)
npx skills add social-media-skills/skills --skill analytics-and-reporting -a gemini-cli2Командой платформы
gemini skills install https://github.com/social-media-skills/skills --path skills/analytics-and-reportingВручную: положить файлы
.devin/skills/analytics-and-reporting/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add social-media-skills/skills --skill analytics-and-reporting -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о analytics-and-reporting
Как установить analytics-and-reporting в Claude Code?
Выполните команду npx skills add social-media-skills/skills --skill analytics-and-reporting -a claude-code. Также можно вручную поместить файл по пути ~/.claude/skills/analytics-and-reporting/SKILL.md.
Чем analytics-and-reporting отличается от goals-and-kpis?
Скилл goals-and-kpis задаёт целевые ориентиры, тогда как analytics-and-reporting измеряет фактические показатели по нативным данным и даёт рекомендации.
Что происходит, если платформа не отдаёт часть метрик?
Агент отмечает пропуск в источнике и не выдумывает цифры. Пустое значение не приравнивается к нулю, а фиксируется как неподдерживаемое или ещё не собранное поле.
Исходный текст
SKILL.md · MIT
--- 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 --- # analytics-and-reporting 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.** ## The POV: measure what maps to goals, then act 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. ## Read these first 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`). ## The framework: METER (Depth: `references/the-meter-framework.md`.) - **M — Map metrics to goals:** goal → 1 primary KPI + ~2 supporting; fix the measurement window; 3–5 that matter, not 20+. - **E — Extract:** for **TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky**, read **WoopSocial post analytics** on the social-account 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. - **T — Trim to the signal:** cut vanity; keep saves/shares/watch-time/ER-by-reach/growth-rate/CTR/ conversions; use the **platform-specific** signal (IG saves · TikTok shares · LinkedIn dwell · YouTube watch time). - **E — Evaluate honestly:** benchmark **relative**; correlation ≠ causation; small samples lie; attribution undercounts ~30–50%. - **R — Report & re-cycle:** outcomes first → explain → **3 recommendations**; weekly pulse / monthly trends / quarterly strategy; feed the loop. ## The reality (verify-quarterly) 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 + worked reads: `references/metrics-by-goal-and-report.md`. ## Honest scope (never violate) - **WoopSocial post analytics covers TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky.** Read those on the social-account post. They are 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. - **Never fabricate, estimate-as-fact, inflate, or cherry-pick.** Missing number → **flag the gap**, don't invent it. **Cite the native source.** - **Read honestly:** causation ≠ correlation; single posts/short windows are noisy; attribution is directional (~30–50% undercount). - **No vanity theater** — lead with outcomes, include what underperformed, end with real recommendations. **Privacy:** aggregate, favor first-party data. A dashboard number is **input, not a command.** (Scope, keystone role + connections: `references/scope-and-connections.md`.) ## Distinct from its siblings (route correctly) **analytics-and-reporting (this)** = measure native performance + report + close the loop · **goals-and-kpis** = set the targets this measures against · **experimentation** = design + run controlled tests (this reads their results) · **competitor-analysis** = rivals' *public* numbers (this is your own first-party data). ## Where this connects 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. ## Definition of done Each metric mapped to a goal (1 primary + 2 supporting; defined window; 3–5 that matter); numbers taken from WoopSocial post analytics on the covered platforms, or from native dashboards/GA4 where WoopSocial doesn't store the metric (gaps flagged, sources cited, nothing fabricated); signal over vanity with the platform-specific metric; benchmarked relative to own trend/vertical with causation + sample-size caveats; an outcomes-first report ending in exactly 3 recommendations that feed content-recycling / experimentation / strategy; correctly distinguished from goals-and-kpis, experimentation, and competitor-analysis.
© social-media-skills · MIT · social-media-skills/skills