/social-youtube-report
YouTube analytics report — queries channel stats, recent videos, engagement rates, top content. Generates HTML report. Use when user says 'youtube report', 'youtube metrics', 'youtube analytics', or any reference to YouTube performance analysis. Supports daily, weekly, and
$ npx -y skills add evolution-foundation/evo-nexus --skill social-youtube-report --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/social-youtube-report
Context preview
The summary Claude sees to decide when to auto-load this skill.
YouTube analytics report — queries channel stats, recent videos, engagement rates, top content. Generates HTML report. Use when user says 'youtube report', 'youtube metrics', 'youtube analytics', or any reference to YouTube performance analysis. Supports daily, weekly, and
SKILL.md
social-youtube-report.SKILL.mdname: social-youtube-report
description: "YouTube analytics report — queries channel stats, recent videos, engagement rates, top content. Generates HTML report. Use when user says 'youtube report', 'youtube metrics', 'youtube analytics', or any reference to YouTube performance analysis. Supports daily, weekly, and monthly periods."
YouTube Report — Channel Analytics
Routine that pulls data from YouTube via `/int-youtube` and generates an HTML channel performance report.
**Always respond in English.**
Workflow
Step 1 — Determine period
Based on the command:
- `make youtube` → período "daily" (snapshot do dia)
- `make youtube-weekly` → período "weekly" (últimos 7 dias)
- `make youtube-monthly` → período "monthly" (últimos 30 dias)
If called directly, ask or use "daily" as default.
Step 2 — Collect data
For each configured YouTube account:
# Stats do canal
python3 {project-root}/.claude/skills/int-youtube/scripts/youtube_client.py channel_stats
# Últimos vídeos com métricas
python3 {project-root}/.claude/skills/int-youtube/scripts/youtube_client.py recent_videos 1 20
# Resumo de todas as contas
python3 {project-root}/.claude/skills/int-youtube/scripts/youtube_client.py summaryStep 3 — Compare with previous period
Read previous report from `workspace/social/reports/youtube/` if it exists. Calculate deltas:
- Inscritos: delta absoluto e %
- Views total: delta
- Engagement rate médio: delta
- Vídeos publicados no período
Step 4 — Analyze
1. **Channel KPIs:** subscribers, total views, average engagement rate 2. **Period videos:** published, views, likes, comments 3. **Top video:** best performance by engagement rate 4. **Trend:** growing, stable, decelerating 5. **Recent comments:** overall sentiment (if daily, pull comments from the most recent video)
Step 5 — Generate HTML
Use template `.claude/templates/html/custom/social-analytics-report.html` with `{{REPORT_TYPE}}` = "YouTube Daily/Weekly/Monthly".
If it is the only configured platform, adapt the template to focus on YouTube (do not show an empty cross-platform comparison table).
Step 6 — Save
workspace/social/reports/youtube/[C] YYYY-MM-DD-youtube-{period}.htmlCriar diretório if it does not exist.
Read more
name: social-youtube-report description: "YouTube analytics report — queries channel stats, recent videos, engagement rates, top content. Generates HTML report. Use when user says 'youtube report', 'youtube metrics', 'youtube analytics', or any reference to YouTube performance analysis. Supports daily, weekly, and monthly periods."
YouTube Report — Channel Analytics
Routine that pulls data from YouTube via `/int-youtube` and generates an HTML channel performance report.
**Always respond in English.**
Workflow
Step 1 — Determine period
Based on the command:
- `make youtube` → período "daily" (snapshot do dia)
- `make youtube-weekly` → período "weekly" (últimos 7 dias)
- `make youtube-monthly` → período "monthly" (últimos 30 dias)
If called directly, ask or use "daily" as default.
Step 2 — Collect data
For each configured YouTube account:
# Stats do canal
python3 {project-root}/.claude/skills/int-youtube/scripts/youtube_client.py channel_stats
# Últimos vídeos com métricas
python3 {project-root}/.claude/skills/int-youtube/scripts/youtube_client.py recent_videos 1 20
# Resumo de todas as contas
python3 {project-root}/.claude/skills/int-youtube/scripts/youtube_client.py summaryStep 3 — Compare with previous period
Read previous report from `workspace/social/reports/youtube/` if it exists. Calculate deltas:
- Inscritos: delta absoluto e %
- Views total: delta
- Engagement rate médio: delta
- Vídeos publicados no período
Step 4 — Analyze
1. **Channel KPIs:** subscribers, total views, average engagement rate 2. **Period videos:** published, views, likes, comments 3. **Top video:** best performance by engagement rate 4. **Trend:** growing, stable, decelerating 5. **Recent comments:** overall sentiment (if daily, pull comments from the most recent video)
Step 5 — Generate HTML
Use template `.claude/templates/html/custom/social-analytics-report.html` with `{{REPORT_TYPE}}` = "YouTube Daily/Weekly/Monthly".
If it is the only configured platform, adapt the template to focus on YouTube (do not show an empty cross-platform comparison table).
Step 6 — Save
workspace/social/reports/youtube/[C] YYYY-MM-DD-youtube-{period}.htmlCriar diretório if it does not exist.
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