$ show lishix520/academic-paper-skills
This repository provides a two-skill workflow system for academic paper creation designed to work with Claude Code. The 'academic-paper-strategist' skill handles research planning through platform analysis, literature search, gap identification, and outline optimization with quality gates. The 'academic-paper-composer' skill executes systematic writing from outlines with chapter-level quality checks and final evaluation. The system emphasizes quality control through structured rubrics and iterative validation, transforming research ideas into submission-ready manuscripts with comprehensive quality reports. While primarily documentation-heavy, it contains several self-contained, reusable evaluation systems that demonstrate sophisticated assessment frameworks.
The LLM identified 3 files worth highlighting for reuse:
Implements a 5-dimension chapter quality evaluation system (argument, citation, clarity, structure, style) with scoring, pass/fail thresholds (16/20), and specific improvement recommendations. Self-contained with only standard library dependencies, takes JSON input and produces detailed reports. Demonstrates non-obvious skill in creating structured writing assessment that guides improvement rather than just judging quality.
Implements a 7-dimension final paper evaluation system (argument, literature, clarity, originality, methodology, structure, style) with scoring, pass/fail threshold (56/70), completeness checklist, and submission readiness determination. Self-contained, takes JSON input, produces comprehensive reports with prioritized revision recommendations. Shows exceptional craftsmanship in creating holistic document evaluation that balances multiple quality aspects with actionable feedback.
Validates and analyzes research gaps with evidence requirements (minimum 3 citations per gap), significance assessment, and feasibility analysis. Self-contained with only standard library imports, takes JSON input describing gaps and produces validation reports with issue identification. Demonstrates non-obvious skill in systematic research gap identification that ensures gaps are genuine, significant, and addressable before proceeding with research.