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ENJA

jss-software-engineering-skill

THEBLUEGHOSTSSSS/jss-software-engineering-skill

A specialized routing skill designed to plan, write, audit, and package manuscripts for top software engineering journals like the Journal of Systems and Software (JSS), IEEE TSE, and ACM TOSEM.

3 2No licenseUpdated 2026-06-17

Overview

This skill acts as a comprehensive router for academic publishing in top software engineering venues. It provides modular guidelines, templates, and checks for various paper types (empirical, tool/system, SLR, etc.), tasks (manuscript writing, polishing, LaTeX formatting, open science packaging, and reviewer responses), and languages (including Chinese-to-English academic translation). By using a progressive disclosure pattern via manifest files and references, it minimizes context overhead while offering rigorous journal-first advice.

Capabilities

  • Manuscript strategy and section drafting
  • Academic prose polishing and Chinese-to-English translation for SE venues
  • Journal targeting and transfer decisions (JSS, TSE, TOSEM, EMSE, IST)
  • LaTeX and source-file packaging checks
  • Publication figure and results table planning
  • Open science packaging and artifact verification
  • Reviewer response letter and rebuttal drafting
  • Rejection-risk and desk-reject audit

Best for

Auditing a draft software engineering manuscript for desk-reject risks and novelty gaps before submission., Translating and refining Chinese academic text into polished, high-impact English prose for JSS or TSE., Preparing point-by-point response letters and revision roadmaps for conditional acceptance reviews., Structuring open-science artifact packages, data/code availability statements, and software citations.

Works with

CodexClaude Code
Evoa Score breakdown= Σ (score × weight)
67
Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%85 → +12.8

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%41 → +4.9

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%100 → +15.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%23 → +1.8

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%50 → +2.5

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total79.0 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

The skill executes structural verification scripts via Python, which should be run in a trusted environment. It avoids hallucinating sensitive academic data or fake citations.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.