Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #209 · 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

SURPRISE0.0558
ENGAGEMENT1.10
FRESHNESS1.42
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
36% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
59.23
ACCEL
-3.64
RETENTION
18.8%
PEAK 2026-09-23 · FORK-RETENTION 59.4% · 1,777 STARS / WINDOW

Author Audience

AUDIENCE
1,021
FOLLOWERS
426
OWNER ★
5,950

Engagement Signals

FORKS
820
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,777 / 1,777 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 1,777 звёзд за окно, тогда как у автора всего 426 подписчиков — эффективная аудитория ≈ 1,021. Это даёт surprise-индекс 0.0558 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 59.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.080.00+0.08ABOVE 98%
VELOCITY59.233.80+55.43ABOVE 96%
RETENTION18.8%20.3%-1.4 PPABOVE 46%
FORKS820138+682ABOVE 86%
SURPRISE0.060.01+0.05ABOVE 92%