leamsigc/shortsgenerator/facebook-research-report

Claude Code and agent skill by leamsigc/shortsgenerator

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Checking that the SKILL.md file is still in the repository.

Report state — synthesizes all phase outputs into a comprehensive final report. Generates a self-contained HTML report (REPORT.html) plus a markdown backup (report.md). Includes performance summary, history trend comparison, top 5 deconstruction recap, video structure analysis, competitor deep-dive, replication scripts, keyword strategy, and engagement opportunities.

Install

npx vskill@latest install leamsigc/shortsgenerator/facebook-research-report

SKILL.md

Facebook Research — Report State (v3)

Generates the final report. The HTML shell is produced by a script; the analytical sections are authored from the scraped data.

Preconditions

  • Config: .fb-research/projects/<project-name>/config.json
  • Analysis: .fb-research/projects/<project-name>/top5-analysis.md
  • Analytics: .fb-research/projects/<project-name>/page-analytics.json + page-analytics-history.json
  • Competitors: .fb-research/projects/<project-name>/competitors/
  • Optional video template data: video-template/VIDEO-TEMPLATE.md, video-analysis.json, transcripts/

Steps

1. Load all data + compute history trends

Read all JSON/markdown files. Compute trend direction per metric (followers, avg views, avg likes, top post views) across snapshots — improving / declining / stable.

2. Discover real competitors via Facebook search
bash
chrome-devtools navigate_page --url "https://www.facebook.com/search/pages/?q=<URL_ENCODED_NICHE>"

Scroll, extract page results, filter to the top 5 most relevant, save to discovered-competitors.json. Benchmark each competitor's positioning relative to the target page.

3. Generate 5 replication script templates

Mix at least 3 from the page's top 5 + up to 2 from competitor patterns. Each script: original source, core pattern, why it works, adapted topic script (hook/body/CTA), caption template, production notes, performance prediction, post-publication tracking checklist.

Save each to replication-scripts/001-<slug>.md and update replication-history.json.

4. Keyword research + competitor deep-dive
  • WebSearch the niche for trending topics/audience interests
  • Extract keywords from top posts + competitors → keyword clusters by content type
  • Visit competitor pages via Chrome DevTools, extract recent posts + video URLs
5. Generate the HTML report + markdown backup

The HTML shell is rendered from the structured data:

bash
node "$CLAUDE_SKILL_ROOT/scripts/report-html.js" <project-name> [sessionId] --session $SESSION
# fallback: node ./skills/facebook-research/scripts/report-html.js <project-name> --session $SESSION

Then augment REPORT.html with the analytical sections authored above (executive summary, top-5 deep dive, video structure analysis, replication scripts, keyword strategy, engagement strategy, feedback for page manager, 30-day action plan). Keep REPORT.html as the primary deliverable and write report.md as the markdown backup. Append a snapshot to report-history.json.

Report Completion

✅ Facebook Research Report Complete!
Project: .fb-research/projects/<project-name>/
📊 REPORT.html (primary) · 📄 report.md (backup) · 📈 trend-report.md (round 2+)
Replication scripts: <N> · Competitors analyzed: <N>
Next step: skill facebook-research-engage (recommended for growth)

Security

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  • Model reviewPassed

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Source

Popularity

Repository stars
348
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75
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