ai-image-creator
Generate PNG images using AI (multiple models via OpenRouter including Gemini, FLUX.2, Riverflow, SeedDream, GPT-5 Image, proxied…
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
Claude Code
$ npx -y skills add evolution-foundation/evo-nexus --skill social-youtube-report --agent claude-code
Codex
$ npx skills add evolution-foundation/evo-nexus --skill social-youtube-report -a codex -y
Cursor
$ npx skills add evolution-foundation/evo-nexus --skill social-youtube-report -a cursor -y
Gemini CLI
$ npx skills add evolution-foundation/evo-nexus --skill social-youtube-report -a gemini-cli -y
GitHub Copilot
$ npx skills add evolution-foundation/evo-nexus --skill social-youtube-report -a github-copilot -y
OpenCode
$ npx skills add evolution-foundation/evo-nexus --skill social-youtube-report -a opencode -y
Windsurf
$ npx skills add evolution-foundation/evo-nexus --skill social-youtube-report -a windsurf -y
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."
Routine that pulls data from YouTube via `/int-youtube` and generates an HTML channel performance report.
**Always respond in English.**
Based on the command:
If called directly, ask or use "daily" as default.
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 summaryRead previous report from `workspace/social/reports/youtube/` if it exists. Calculate deltas:
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)
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).
workspace/social/reports/youtube/[C] YYYY-MM-DD-youtube-{period}.htmlCriar diretório if it does not exist.
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