搜索

PythonReactSEOPDF

Bestra AI Skills

GitHub ↗

浏览 Bestra 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

5

收录技能的仓库 Stars 合计

0

仓库 Forks

0

平均每个技能的仓库 Stars

0

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

5 个技能

全部技能

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...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。