Search

PythonReactSEOPDF

Bestra AI Skills

GitHub ↗

Browse published AI skills maintained by Bestra. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

5

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

5 skills

Browse skills

GitHub

debug-pdf-extraction

Bestra

Debug PDF text extraction issues. Use when parser is producing wrong data, missing units, or garbled text from a PDF.

GitHub

data-structures

Bestra

Understand data structures in the GCACW parser pipeline (raw tables, parsed units, web JSON). Use when debugging data issues, understanding field mappings between stages, checking column configurations, or inve...

GitHub

parse-new-game

Bestra

Parse a new GCACW game PDF to extract scenario data. Use when adding a new game to the roster generator, extracting units from PDF tables, or setting up scenario names.

GitHub

regenerate-data

Bestra

Regenerate web JSON data after parser changes. Use after modifying parse_raw_tables.py, game_configs.json, or convert_to_web.py, or when data needs refreshing.

GitHub

extract-vassal-images

Bestra

Extract unit counter images from VASSAL game modules (.vmod files) for roster generation. Use when adding counter images to a game, setting up image mappings for units, or troubleshooting missing/mismatched uni...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.