Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #1888 · 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

SURPRISE0.0116
ENGAGEMENT0.48
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
12.29
ACCEL
-3.50
RETENTION
14.5%
PEAK 2026-10-11 · FORK-RETENTION 40.0% · 86 STARS / WINDOW

Author Audience

AUDIENCE
1,021
FOLLOWERS
426
OWNER ★
5,950

Engagement Signals

FORKS
820
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 86 / 86 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 86 звёзд за окно, тогда как у автора всего 426 подписчиков — эффективная аудитория ≈ 1,021. Это даёт surprise-индекс 0.0116 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 40.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 80%
VELOCITY12.293.14+9.14ABOVE 85%
RETENTION14.5%16.7%-2.2 PPABOVE 45%
FORKS820277+543ABOVE 71%
SURPRISE0.010.00+0.01ABOVE 71%