mooc-starter-kit

Name: mooc-starter-kit
Rating: 66 (1 reviews)
Author: jamditis

MCP Server

jamditis/mooc-starter-kit

A comprehensive course starter kit and workspace template for learning advanced prompt engineering and agentic CLI tools in journalism.

7 121No licenseUpdated 2026-06-25

Good

View on GitHub Open source file

Overview

Designed for the Knight Center MOOC by Joe Amditis, this repository provides a complete working environment for students using AI coding assistants like Claude Code, Codex CLI, and Gemini CLI. It includes project context templates, custom skills, command definitions, pipeline automation scripts, and sample journalism documents across four structured learning modules.

Capabilities

▸Context file templating and management
▸Custom slash commands for beat briefings and claim checks
▸Staged data processing pipeline scripts
▸GitHub Actions workflows for scheduled tasks
▸Cross-model validation patterns

Best for

Learning how to use command-line AI coding assistants for journalism workflows, Setting up structured context files (CLAUDE.md/AGENTS.md) for custom AI behavior, Building automated document processing and verification pipelines, Practicing cross-model review using multiple AI agents in parallel

Works with

Claude CodeCodexGemini CLI

Evoa Score breakdown= Σ (score × weight)

Task 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%42 → +5.0

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%80 → +12.0

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%60 → +4.8

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

Compatibility5%75 → +3.8

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 total77.9 / 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

Includes local guardrail hook configurations and file management practices. Users must ensure sensitive reporting notes or restricted data are not inadvertently exposed via third-party AI CLI logging.