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Claude Skills by FOURTEEN1416
github.com/FOURTEEN1416951 skills0 installs77 views
- Scientific VisualizationPublication-ready scientific figure design with matplotlib and seaborn. Use when creating journal submission figures with proper formatting, accessibility, and statistical annotations.Votes: 0GitHub stars: 10
- Scientific WritingAcademic manuscript writing with IMRAD structure, citation formatting, and reporting guidelines. Use when drafting or revising research papers.Votes: 0GitHub stars: 10
- Statistical ReportingStatistical test selection, assumption checking, and APA-formatted reporting. Use when analyzing experimental results or writing results sections.Votes: 0GitHub stars: 10
- Fba SimulatorRun Flux Balance Analysis (FBA) and related constraint-based simulations using COBRApy. Covers standard FBA, parsimonious FBA (pFBA), Flux Variability Analysis (FVA), loopless FBA, gene/reaction knockouts, and carbon source swapping. Outputs flux distributions and CSV files.Votes: 0GitHub stars: 10
- Flux AnalyzerAnalyse FBA flux distributions to extract biological insights. Covers gene essentiality, phenotypic phase planes, flux sampling, pathway-level aggregation, secretion product prediction, and production of publication- quality figures.Votes: 0GitHub stars: 10
- Gsmm BuilderBuild or load a genome-scale metabolic model (GSMM) using COBRApy. Covers loading from BIGG, constructing minimal models from scratch, setting medium constraints, and exporting validated .json model files.Votes: 0GitHub stars: 10
- Gsmm ValidatorValidate a COBRApy genome-scale metabolic model for mass/charge balance, stoichiometric consistency, biomass producibility, dead-end metabolites, thermodynamic loops, and GPR rule formatting. Outputs a structured validation report with errors and warnings.Votes: 0GitHub stars: 10
- Metabolic Study PlannerPlan publishable constraint-based metabolic modelling studies when the user has a broad biological or metabolic-engineering topic but no concrete dataset, organism, model, or hypothesis. Selects feasible BiGG/COBRA models, objectives, perturbations, analyses, metrics, figures, and risk controls before FBA code is generated.Votes: 0GitHub stars: 10
- Mfa Pipeline OrchestratorOrchestrate the full metabolic flux analysis pipeline from model loading to phenotype prediction and publication figures. Triggers when the user provides an organism name, BIGG model ID, or custom reaction list and wants end-to-end metabolic modelling run automatically.Votes: 0GitHub stars: 10
- Cv ClassificationBest practices for image classification tasks. Use when working on CIFAR, ImageNet, or other classification benchmarks.Votes: 0GitHub stars: 10
- Cv DetectionBest practices for object detection tasks. Use when working on COCO, VOC, or detection architectures like YOLO and DETR.Votes: 0GitHub stars: 10
- Nlp AlignmentBest practices for LLM alignment techniques including RLHF, DPO, and instruction tuning. Use when working on alignment or safety.Votes: 0GitHub stars: 10
- Nlp PretrainingBest practices for language model pretraining and fine-tuning. Use when generating or reviewing NLP training code.Votes: 0GitHub stars: 10
- Quantum QiskitReference qiskit 2.x patterns for variational quantum machine learning. Covers data-encoding feature maps, variational quantum classifier (VQC) training, variational quantum eigensolver (VQE) for chemistry, matrix-product-state circuits, and noise model integration. Use when writing Python code that imports `qiskit`, `qiskit_aer`, `qiskit_algorithms`, `qiskit_machine_learning`, or `qiskit_nature`.Votes: 0GitHub stars: 10
- Rl Policy OptimizationBest practices for reinforcement learning policy optimization. Use when working on RL agents, PPO, SAC, or reward design.Votes: 0GitHub stars: 10
- Experimental DesignBest practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.Votes: 0GitHub stars: 10
- Meta AnalysisStatistical methods for combining results across multiple studies. Use when aggregating cross-study or cross-experiment results.Votes: 0GitHub stars: 10
- Systematic ReviewStructured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.Votes: 0GitHub stars: 10
- Data LoadingOptimize data loading pipeline to prevent GPU starvation. Use when setting up DataLoader or data preprocessing.Votes: 0GitHub stars: 10
- Distributed TrainingMulti-GPU and distributed training patterns with PyTorch DDP. Use when scaling training across GPUs.Votes: 0GitHub stars: 10
- Mixed PrecisionUse FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.Votes: 0GitHub stars: 10
- Pytorch TrainingBest practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.Votes: 0GitHub stars: 10
- Math Model SkillsMeta-model-agent 致力于辅助研究者与参赛团队完成高质量数学建模研究和论文产出，提供从问题理解、模型构建、计算实验、证据可视化到论文写作、冠军级多轮审稿与提交验收的完整工程支持。适用于 CUMCM、51MCM、MCM/ICM 及同类数模研究任务，可用于启动或恢复项目、按证据门禁推进、修复薄弱环节并形成可复现、可验证、可提交的高质量数模论文。Votes: 0GitHub stars: 10
- Championship ReviewMeta-model-agent 冠军模式模拟质量审稿协议。仅在 quality_mode=championship 且竞赛文稿集成完成后使用，通过多轮独立审稿、修订计划、全文改写和逐项复核产出冠军版论文。Votes: 0GitHub stars: 10
- Computational RealizationMeta-model-agent 将数学机制落地为可运行程序、数值实验、结果合同与可复核证据。适用于计算实验实现。Votes: 0GitHub stars: 10
- Delivery AssuranceMeta-model-agent 完成编译、版式、匿名、页数、引用与提交前合规验收。适用于提交质量验收。Votes: 0GitHub stars: 10
- Evidence VisualizationMeta-model-agent 将计算成果转换为可发表的数据图形、表格和排版引用。适用于证据图谱构建。Votes: 0GitHub stars: 10
- Manuscript SynthesisMeta-model-agent 整合模型、程序、结果、图形与引用为完整中文竞赛文稿。适用于竞赛文稿集成。Votes: 0GitHub stars: 10
- Model FormulationMeta-model-agent 基于问题契约建立数学机制、公式体系、求解路线与校验方案。适用于数学机制构造与算法规划。Votes: 0GitHub stars: 10
- Problem IntelligenceMeta-model-agent 将竞赛题面转换为子问题、变量、约束、证据和后续工作契约。适用于问题情境解构与建模前置分析。Votes: 0GitHub stars: 10
- Systems DiagrammingMeta-model-agent 构建技术路线、方法关系、系统架构与流程示意资产。适用于系统逻辑制图。Votes: 0GitHub stars: 10
- SkillBuild, rewrite, audit, submit, revise, or transfer scholarly papers end to end, producing verified LaTeX/PDF/Word and target-specific publication packages.Votes: 0GitHub stars: 10
- 02 PaperFig SkillDesign, implement, revise, and validate publication-quality scientific figures from references, existing plotting code, and real project data. Trace every figure to source code and inputs; deconstruct reference figures; plan the scientific story and multi-panel structure; build complex model architecture and statistical panels; enforce a consistent visual system; and render-verify PDF/SVG/PNG outputs. Use for 科研配图, 论文配图, 找图的源代码, 参考图复刻与改造, 模型框架图, 多面板主图, figure redesign, or standardizing a rese...Votes: 0GitHub stars: 10
- SkillWrite, rewrite, or build a paper or report (journal, conference, report, review, competition) end to end, then output LaTeX/PDF/Word. The main PaperSpine entry point that orchestrates every step.Votes: 0GitHub stars: 10
- Vibe SkillsVibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup.Votes: 0GitHub stars: 10
- Autonomous BuilderFull-stack software development agent for design, implementation, testing, and deployment. Use when the user explicitly asks for end-to-end project creation, feature development, bug fixing, or code refactoring.Votes: 0GitHub stars: 10
- Commit With ReflectionGit提交与调试反思报告生成技能。用于分析开发过程中的错误、调试步骤和解决方案,生成结构化的中文反思报告,并创建包含报告引用的Git提交。显式请求词:反思提交、智能提交、生成调试报告、commit with reflection。Votes: 0GitHub stars: 10
- Documentation LookupUse when the user needs current library, framework, or API documentation and version-specific code examples.Votes: 0GitHub stars: 10
- Knowledge StewardAI工作经验知识库管理。适用于用户明确要求'保存到Obsidian'、'记录这个'、'save this insight'、'memo this'、'capture this'等知识沉淀场景。将对话中的提示词、模式、问题修复、想法和效率优化保存到Obsidian知识库，并自动同步到GitHub。Votes: 0GitHub stars: 10
- Security ReviewerDedicated security-audit route for OWASP-style risks, secret leaks, auth flaws, injection, unsafe input handling, SSRF/XSS, and sensitive-data exposure. Use instead of code-reviewer when the prompt explicitly asks for security, vulnerability, threat, auth, or OWASP review.Votes: 0GitHub stars: 10
- SimpyProcess-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.Votes: 0GitHub stars: 10
- Slides As CodeBuild research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations.Votes: 0GitHub stars: 10
- Smart File WriterIntelligent file write error handler: diagnoses permissions, disk space, path length, file locks before retrying. Use when you encounter 'Error writing file', 'Permission denied', 'Access denied', 'No space left', or related file write failures.Votes: 0GitHub stars: 10
- Spec Kit Vibe CompatCompatibility router for /speckit.* workflows into /vibe-first Codex execution.Votes: 0GitHub stars: 10
- Speckit ChecklistGenerate custom quality checklists for validating requirements completenessVotes: 0GitHub stars: 10
- Speckit ClarifyStructured clarification workflow for underspecified requirements. UseVotes: 0GitHub stars: 10
- Speckit ImplementExecute all tasks from the task breakdown to build the feature. Use afterVotes: 0GitHub stars: 10
- Speckit PlanGenerate technical implementation plans from feature specifications.Votes: 0GitHub stars: 10
- Speckit SpecifyCreate or update feature specifications from natural language descriptions.Votes: 0GitHub stars: 10
- Speckit TasksBreak down implementation plans into actionable task lists. Use afterVotes: 0GitHub stars: 10