sergebulaev/linkedin-skills — GitHub trend

FINDING #2336 · UNIT ID 1210670063

sergebulaev/linkedin-skills

Claude skills for LinkedIn. 11 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

SURPRISE0.0223

ENGAGEMENT0.25

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.86

ACCEL

-0.21

RETENTION

65.7%

PEAK 2026-08-25 · FORK-RETENTION 0.0% · 34 STARS / WINDOW

Author Audience

AUDIENCE

178

FOLLOWERS

OWNER ★

916

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 34 / 34 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 34 звёзд за окно, тогда как у автора всего 88 подписчиков — эффективная аудитория ≈ 178. Это даёт surprise-индекс 0.0223 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 76% OF 9755 FINDINGS

#01wang2122/sprix-sage-router[ PYTHON ]0.81 #07MddIdd/mdd-sim-gateway[ PYTHON ]0.43 #10zeenie-ai/OpenCompany[ PYTHON ]0.39 #15HRuiCcc/music-geshizhuanhuan[ PYTHON ]0.32 #16litaolemo/xtquant_big_convert[ PYTHON ]0.32

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9755 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 76%

VELOCITY4.863.71+1.14ABOVE 59%

RETENTION65.7%37.5%+28.2 PPABOVE 88%

FORKS9390+3ABOVE 51%

SURPRISE0.020.01+0.01ABOVE 71%