
Self Review
by lingzhi2279e6c085d65e3No license386 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 7 months ago
Automatically review an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text from PDF, runs structured review, and outputs actionable feedback. Use when the user wants to review a paper before submission or get feedback on a draft.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/review-form.md | 3.8 KB | text/markdown |
| scripts/extract_pdf_text.py | 3.4 KB | text/plain |
| scripts/parse_pdf_sections.py | 9.1 KB | text/plain |
| SKILL.md | 3.4 KB | text/markdown |
Source and attribution
Source:lingzhi227/agent-research-skillsinskills/self-reviewat commit9e6c085
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from lingzhi227/agent-research-skills

Table Generation
lingzhi227
Converts experimental results from JSON or CSV into publication-ready LaTeX tables with booktabs styling and bold best results.

Symbolic Equation
lingzhi227
Discovers interpretable scientific equations from data using LLM-guided evolutionary search with multi-island sampling.

Survey Generation
lingzhi227
Generates complete academic survey papers with multi-LLM outlines, RAG-based writing, citation validation and BibTeX output.

Slide Generation
lingzhi227
Converts a completed LaTeX paper into Beamer presentation slides or a poster layout.

Research Planning
lingzhi227
Turns a research topic or idea into a structured research plan and paper architecture.

Related Work Writing
lingzhi227
Guides writing a paper's Related Work section by thematically organizing prior literature and contrasting it with the paper's contributions.
More in Research & Analysis

Equity Research
anthropics
Builds structured equity research snapshots from consensus estimates, fundamentals, prices and macro data.

Sector Overview
anthropics
Produces industry and sector landscape reports covering market size, competitive positioning, valuation and investment implications.

Idea Generation
anthropics
Systematic stock screening and investment idea sourcing using quantitative screens, thematic research and pattern recognition.

Competitive Analysis
anthropics
Builds competitive landscape decks: market positioning, competitor deep-dives, comparative tables and strategic synthesis.
Notion Research Documentation
openai
Researches Notion pages and synthesizes findings into cited briefs, comparisons, or reports published back to Notion.
Notion Meeting Intelligence
openai
Prepares meeting agendas and pre-reads using Notion context and research, tailored to attendees and meeting type.