Key Findings

Discovered Topics

📋
Testing & Quality
Frontmatter fields: name, description, and metadata
test
0.4473
agent
0.4096
task
0.4062
change
0.3823
read
0.3433
review
0.3423
step
0.3336
code
0.3037
phase
0.2554
session
0.252

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.

🔍
Archive & Skillmd
Progressive disclosure and when-to-invoke triggers
archive
0.7812
skillmd
0.7444
old
0.6773
snapshot
0.6606
hold
0.6557
claude
0.6496
copy
0.6156
repository
0.6085
page
0.5794
link
0.5535

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.

🎯
Methodology & Method
Scoping rules: skill boundaries and usage scenarios
methodology
0.6663
method
0.6033
result
0.5941
problem
0.5356
appropriate
0.5259
assumption
0.4683
practice
0.4053
validation
0.382
documentation
0.3757
domain
0.3617

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.

📖
Echo & Python
Instructions, examples, and walkthroughs
echo
0.971
python
0.8128
bash
0.4991
transcription
0.3298
image
0.2541
ffmpeg
0.229
audio
0.2219
speaker
0.1957
fasterwhisper
0.1806
install
0.1798

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.

🔗
Await & String
Tool references, file paths, and cross-skill links
await
0.7088
string
0.4721
async
0.4331
futurevoid
0.4069
const
0.3673
firebase
0.3533
return
0.3407
import
0.2805
final
0.2552
null
0.2372

This topic represents a cluster of related terms discovered through topic modeling analysis. The word weights indicate how strongly each term is associated with this theme across the analyzed repositories.