sergebulaev/linkedin-skills — GitHub trend

FINDING #2673 · 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

SURPRISE0.0191

ENGAGEMENT0.26

FRESHNESS1.00

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

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

5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.14

ACCEL

+0.25

RETENTION

61.9%

PEAK 2026-08-25 · FORK-RETENTION 0.0% · 29 STARS / WINDOW

Author Audience

AUDIENCE

177

FOLLOWERS

OWNER ★

910

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 29 / 29 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 29 звёзд за окно, тогда как у автора всего 86 подписчиков — эффективная аудитория ≈ 177. Это даёт surprise-индекс 0.0191 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 73% OF 9760 FINDINGS

#08MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #17litaolemo/xtquant_big_convert[ PYTHON ]0.36 #20LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.34 #24zeenie-ai/OpenCompany[ PYTHON ]0.30 #25917Dhj/DeepPaperNote[ PYTHON ]0.29

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 73%

VELOCITY4.143.71+0.43ABOVE 53%

RETENTION61.9%38.0%+23.9 PPABOVE 82%

FORKS9186+5ABOVE 51%

SURPRISE0.020.01+0.01ABOVE 67%