ia-devs-mod3-261
victorhwfreire/ia-devs-mod3-261
An educational exercise repository for building AI-assisted development workflows, custom agents, skills, and Model Context Protocol (MCP) integrations using Claude Code.
Overview
This repository provides a hands-on curriculum for AI-assisted software development, focusing on code review, legacy debugging, persistent instructions, and building custom developer tools. Designed for the CESAR 2026 AI for Developers course, it adopts an artifact-first approach where interactions result in versionable code artifacts, subagents, slash commands, and MCP integrations.
Capabilities
- ▸Parallel agent code review generation
- ▸System mapping and root-cause analysis for legacy systems
- ▸Custom slash command creation for debugging and reviewing
- ▸Persistent agent instruction management via AGENTS.md and CLAUDE.md
- ▸MCP server integration and configuration
Best for
Practicing AI-assisted code review and smell detection using subagents, Debugging legacy codebases and creating characterization tests with AI, Curating persistent AI agent instructions and custom slash commands, Building and testing custom Claude Code skills and Model Context Protocol (MCP) servers
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
The repository uses a zero-dependency local setup, but emphasizes keeping sensitive environment variables out of git and reviewing any third-party MCP servers before execution.
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.