decision-grade-memory
jy00295005/decision-grade-memory
A specialized research workspace and skill set for drafting academic papers on graph-based AI and decision-grade memory for small and medium-sized enterprises (SMEs). It establishes rigorous academic tone, claim-evidence discipline, and structured section-by-section writing workflows.
194 18Apache-2.0Updated 2026-06-15
79
GreatOverview
This skill repository provides a disciplined, modular framework for academic writing and literature synthesis, tailored for research into graph-based AI for SME decision-making. It includes custom research workflow skills (prefixed with dgm-) covering research positioning, citation auditing, method design, and Markdown-to-PDF chapter polishing, all while enforcing strict rules against fabricated claims and placeholder citations.
Capabilities
- ▸Academic tone and prose maintenance
- ▸Claim-evidence discipline enforcement with TODO markers
- ▸Citation auditing and bibliography management
- ▸Method-section design and scenario-layer mapping
- ▸Markdown to PDF chapter-level exporting
Best for
Drafting and structuring academic papers section-by-section, Conducting rigorous literature synthesis and citation tracking, Designing and documenting graph-based AI methods for SME decision support, Exporting structured Markdown manuscripts into professional PDF chapters
Works with
CodexClaude Code
Evoa Score breakdown= Σ (score × weight)
79Task usefulness20%88 → +17.6
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%37 → +4.4
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%59 → +4.7
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
Operates entirely within a local documentation and manuscript repository workspace, posing no direct infrastructure or data security risks.
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.