YangJunjie
Community@Yjj0333
YangJunjie maintains 82 agent skills spanning CUMCM mathematical modeling, Nature-style academic writing and review, scientific figure generation, frontend UI design, and Firecrawl web-data integration.
Agent Skills by YangJunjie
Showing 82 vetted skills indexed across 1 GitHub repositories.
Yjj0333model-figure-selector
Selects, prioritizes, and plans evidence-driven figures for mathematical modeling papers.
Yjj0333nature-experiment-log
Convert experiment images, voice notes, and text into structured Markdown logs with YAML frontmatter.
Yjj0333ppt-master
Generates editable PPTX decks from source documents via routed SVG-to-PowerPoint workflows.
Yjj0333mathmodel-figure-templates
Generate publication-style scientific figures from bundled Python matplotlib templates.
Yjj0333bzd-problem-restatement
Generate or review Chinese mathematical-modeling problem-restatement chapters against original problem statements.
Yjj0333bzd-cumcm-school-awards
Query CUMCM school award history and assess student preparation against award targets.
Yjj0333frontend-skill-router
Routes frontend build, redesign, and audit requests to the appropriate installed UI skills.
Yjj0333backend-security-checkpoint
Audit backend API security, permissions, and injection risks using structured verification prompts.
Yjj0333firecrawl-build-interact
Integrate Firecrawl /interact for browser actions on dynamic pages after scraping.
Yjj0333math-modeling-review
Review mathematical modeling competition papers against CUMCM national award criteria and generate scored reports.
Yjj0333bzd-paper-aigc-auditor
Audit mathematical modeling competition papers for AI-generated traces and produce layered HTML reports.
Yjj0333nature-paper-to-patent
Convert research papers and project materials into evidence-grounded Chinese patent drafts.
Yjj0333typst-author
Generate, edit, and troubleshoot Typst documents using bundled syntax reference documentation.
Yjj0333ai-tech-advisor
Recommends a single tech stack and generates specification documents and AI coding rules for new projects.
Yjj0333firecrawl-research-index
Find research papers in Firecrawl's paper index using semantic search and citation expansion.
Yjj0333bzd-model-assumption-checker
Reviews mathematical modeling paper assumptions against the competition problem statement.
Yjj0333impeccable
Designs, critiques, audits, and refines frontend interfaces across web and native platforms.
Yjj0333bzd-problem-analysis-checker
Reviews Chinese mathematical-modeling problem-analysis sections against the original competition problem.
Yjj0333full-output-enforcement
Enforces complete, unabridged code generation by banning placeholder patterns and truncation.
Yjj0333nature-reviewer
Generate three mutually blind Nature-style pre-submission reviewer reports with tiered concerns and synthesis.
Yjj0333design-taste-frontend-v1
Generates React and Next.js frontend code following opinionated design, motion, and typography rules.
Yjj0333nature-paper2ppt
Convert scientific papers into Chinese PowerPoint decks with figures, speaker notes, and QA audits.
Yjj0333bzd-problem-translator
Translates CUMCM modeling problems sentence by sentence into a Markdown report with a Mermaid dependency flowchart.
Yjj0333nature-citation
Segments manuscript text and finds Nature, Science, and Cell citations with RIS export.
Frequently Asked Questions About YangJunjie
FAQPage SchemaWhat tasks can I accomplish with YangJunjie's skill collection?▼
You can run end-to-end mathematical modeling contests (problem analysis, model checking, figure generation, paper writing, format review), produce Nature-style manuscripts with citations and mock peer review, build PPTX decks from papers, design premium frontend interfaces, and embed Firecrawl web scraping into applications.
Who are these skills designed for?▼
Primary users are Chinese mathematical-modeling competitors (CUMCM, MCM/ICM, MathorCup), academic researchers preparing Nature-family submissions, and developers or non-technical builders needing frontend design, backend skeletons, security checkpoints, and Firecrawl-based web data features.
How do the mathematical modeling skills work together in practice?▼
The numbered pipeline runs sequentially: 1start-mathmodel initializes the project, 2analysis-modeling builds the modeling report, 3coding-visual freezes verified results, 4drawio creates diagrams, 5writing composes the paper in Typst or LaTeX, and 6verity performs final submission checks.
Are these skills free and what licenses apply?▼
Most skills with declared licenses use MIT (ppt-master, researchwrite, nature-literature-pipeline, humanizer, gsap-frameworks) or ISC (Firecrawl skills); impeccable uses Apache 2.0. Many skills declare no license, so users should verify terms per skill folder before redistribution.
What prerequisites or dependencies do these skills require?▼
Firecrawl skills require a FIRECRAWL_API_KEY and optionally a self-hosted base URL. nature-downloader requires Node.js 22+ and Python 3 plus an authenticated Chrome session for CNKI access. Modeling skills use Bash, file read/write permissions, and Typst or LaTeX engines for paper compilation.