Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #1646 · UNIT ID 1120349776
muratcankoylan/Agent-Skills-for-Context-Engineering
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00924
ENGAGEMENT0.20
FRESHNESS1.45
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
13% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
25.18
ACCEL
+0.08
RETENTION
49.5%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 2,266 STARS / WINDOW

Author Audience

AUDIENCE
2,685
FOLLOWERS
733
OWNER ★
19,517

Engagement Signals

FORKS
1,420
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 2,266 / 2,266 (DIVERSITY 1.00)

Why This Is A Finding

muratcankoylan/Agent-Skills-for-Context-Engineering собрал 2,266 звёзд за окно, тогда как у автора всего 733 подписчиков — эффективная аудитория ≈ 2,685. Это даёт surprise-индекс 0.00924 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 74%
VELOCITY25.183.99+21.18ABOVE 91%
RETENTION49.5%17.1%+32.4 PPABOVE 96%
FORKS1,42090+1,331ABOVE 96%
SURPRISE0.010.01-0.00ABOVE 43%