agentic-context
ldastey-dev/agentic-context
A template library providing standardized coding standards, playbooks, and configuration files for multiple AI coding assistants through automated deployment scripts.
Overview
This skill repository acts as a single source of truth for engineering standards, review playbooks, and context files designed to be distributed across target codebases. It enforces a strict separation between authoring prose (standards and playbooks) and distribution logic (deploy scripts), ensuring that AI agents receive consistent, on-demand context without bloating their always-in-context memory footprint.
Capabilities
- ▸Cross-agent configuration deployment via shell and PowerShell scripts
- ▸Modular standard and playbook management with on-demand context loading
- ▸Automatic generation of AI agent skill wrappers from playbook frontmatter
Best for
Establishing uniform coding standards across multiple AI coding agents in a project, Deploying lightweight agent configuration files and skill wrappers into target repositories, Managing modular review, assessment, and planning playbooks for AI-assisted development
Works with
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
実装・指示の品質。 — AIによるSKILL.md/README解析
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
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
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
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
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
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
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
Deployment scripts modify files in target repositories; ensure scripts are reviewed before execution against production codebases.
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.