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milad-ahmdmilad-ahmd/agent-skills/skills/social-analytics-reporter/SKILL.md

social-analytics-reporter

Skill5 starsChanged 18 days agoMITView on GitHub

Turns raw social media analytics exports (Instagram Insights, TikTok Analytics, YouTube Studio, LinkedIn, X, Meta Ads CSV or screenshots) into a clear performance report with KPIs, trends, top and bottom content analysis, the reasons behind them, and prioritized recommendations. Includes a Python script to summarize CSV exports. Use when the user shares social media analytics, asks for a monthly social report, or asks "what's working on my socials".

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask for exports: CSV from YouTube Studio, TikTok, Meta Business Suite, LinkedIn or a scheduler, or screenshots.

    line 12
  2. Distinctive:

    Never invent or extrapolate numbers.

    line 45
  3. Distinctive:

    Keep it short enough that a busy founder reads it.

    line 47

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Social Analytics Reporter

From a pile of numbers to "here's what to do next week".

1. Collect data

Ask for exports: CSV from YouTube Studio, TikTok, Meta Business Suite, LinkedIn or a scheduler, or screenshots. For CSVs, run the helper to get a quick numerical summary:

python3 scripts/summarize.py export.csv                # auto-detects numeric columns
python3 scripts/summarize.py export.csv --sort views   # rank posts by a metric

2. KPIs by goal

GoalPrimary KPIs
AwarenessReach, impressions, non-follower reach %, views, follower growth
EngagementEngagement rate ((likes+comments+shares+saves)/reach), saves, shares, comments
VideoAvg watch time, % completion, retention, rewatches
Traffic / conversionProfile visits, link clicks, CTR, signups, sales, CPA/ROAS (ads)

Calculate rates, not just totals. Compare with the previous period and the account's own average, not with generic benchmarks.

3. Report (social-report-<period>.md)

# Social Report — <period>
## TL;DR (3 bullets: win, problem, next action)
## KPI scorecard (metric | this period | last period | Δ% | status 🟢🟡🔴)
## Platform breakdown
## Top 5 & bottom 5 posts — and WHY (hook, format, topic, timing, length)
## Patterns (what formats/topics/times over-perform)
## Recommendations — do more / stop / test (with hypothesis + success metric)

Rules

  • Never invent or extrapolate numbers. If data is missing, say so.
  • Mark correlations as correlations, and suggest a test to confirm the cause.
  • Keep it short enough that a busy founder reads it.

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