syllabus

原文涵盖的主题

• Syllabus — Course Supplementary Reading List
• Architectural Pattern: Bundled Script
• Agent Integrity Rules (Research-Pack Convention)
• Phase 0: Grill-Me Intake (3 forcing questions)
• Q1 (root) — Syllabus input
• Q2 (depends on Q1) — Course audience
• Q3 (depends on Q1) — Year range
• Phase 1: Parse the Syllabus

Portability: Requires a Consensus MCP connection, Node.js with docx package, and file reading capability for the syllabus. Works in Claude Code CLI natively. In Claude.ai with Consensus MCP + Code Execution + file upload, the workflow is supported. For an instructor or student with a course syllabus, produce a professional supplementary reading list as .docx containing recent peer-reviewed papers per course section. This skill uses a bundled JavaScript helper script for DOCX generation rather than inlining the 300+ lines of layout code: DOCX generation logic is reusable + complex Better separation of concerns: skill = orchestration + intelligence; script = mechanical document assembly Token-efficient: skill doesn't re-derive layout each run Easier to maintain and version The bundled script is at scripts/generatereadinglist.js. The skill orchestrates the pipeline + invokes the script with JSON input. Locked verbatim per PR #657 audit. Only use what Consensus returns. Every paper title, author, journal, year, URL must come from this session's tool calls. Training-knowledge papers labeled [Not from Consensus — model knowledge] and excluded. Confirm before moving on. A search isn't com

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