Github Trends®
3194 findingsmedian surprise 0.0165window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: gharchive
FINDING #943 · 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

SURPRISE0.0176
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
48.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-15 · FORK-RETENTION 0.0% · 48 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 48 / 48 (DIVERSITY 1.00)

Why This Is A Finding

muratcankoylan/Agent-Skills-for-Context-Engineering собрал 48 звёзд за окно, тогда как у автора всего 733 подписчиков — эффективная аудитория ≈ 2,685. Это даёт surprise-индекс 0.0176 (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 3194 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 70%
VELOCITY48.0010.00+38.00ABOVE 88%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS1,420176+1,244ABOVE 90%
SURPRISE0.020.02+0.00ABOVE 51%