Github Trends®
667 findingsmedian surprise 0.00057window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #50 · UNIT ID 1210670063
sergebulaev/linkedin-skills
Claude skills for LinkedIn. 12 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and build a publishing cadence, all from your terminal. Content engineering by Creative Content Crafts. MIT.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00355
ENGAGEMENT1.20
FRESHNESS1.50
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
7% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.77
ACCEL
+0.05
RETENTION
9.0%
PEAK 2026-09-06 · FORK-RETENTION 69.2% · 339 STARS / WINDOW

Author Audience

AUDIENCE
1,021
FOLLOWERS
426
OWNER ★
5,950

Engagement Signals

FORKS
820
ISSUE AUTH
1
PR AUTH
4
UNIQUE STARGAZERS 339 / 339 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 339 звёзд за окно, тогда как у автора всего 426 подписчиков — эффективная аудитория ≈ 1,021. Это даёт surprise-индекс 0.00355 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 69.2% и 5 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 667 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 93%
VELOCITY3.772.83+0.93ABOVE 66%
RETENTION9.0%7.4%+1.6 PPABOVE 60%
FORKS8201,886-1,066ABOVE 34%
SURPRISE0.000.00+0.00ABOVE 86%