所有 Skills
找到 8242 个 Skills
Skills 列表
related-work-writing
Write Related Work sections that compare and contrast prior work with your approach. Organize by theme, cite broadly, and explain how your work differs. Use when writing or improving the Related Work section of a paper.
lingzhi227table-generation
根据实验结果生成出版质量的LaTeX表格。将JSON/CSV数据转换为booktabs风格的表格，包含加粗的最佳结果、多行布局和适当的标题。在创建论文的结果表、对比表或消融表时使用。
lingzhi227self-review
使用NeurIPS审稿表格，通过三位审稿人角色、集成评分和反思改进，自动评审学术论文。从PDF提取文本，运行结构化评审，并输出可操作的反馈。当用户希望在提交前评审论文或获取草稿反馈时使用。
lingzhi227slide-generation
将已完成的论文转换为演示幻灯片（Beamer LaTeX）或海报。提取关键图表、表格、公式，并为口头报告创建叙事流程。识别现有工具中的空白——根据最佳实践设计。
lingzhi227atomic-decomposition
将研究想法分解为原子化、自包含的概念，并建立数学与代码的双向映射。对于每个概念，从论文中提取数学公式并找到代码实现。适用于需要形式化基础的复杂系统论文。
lingzhi227paper-compilation
将 LaTeX 论文编译为 PDF，具备自动错误检测、chktex 风格检查和引文/参考文献验证功能。运行完整的 pdflatex + bibtex 流水线。当用户想要编译论文、修复编译错误或调试 LaTeX 时使用。
lingzhi227paper-assembly
Orchestrate the full paper pipeline end-to-end. Manage state propagation between phases (literature → plan → code → experiments → figures → tables → writing → review), support checkpointing and resumption. Use for assembling a complete paper from components.
lingzhi227experiment-code
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
lingzhi227paper-to-code
Convert an ML research paper into a complete, runnable code repository. 3-stage pipeline from Paper2Code — Planning (UML + dependency graph) → Analysis (per-file logic) → Coding (dependency-ordered generation). Use for reproducing paper methods.
lingzhi227symbolic-equation
Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Multi-island algorithm with softmax-based cluster sampling, island reset, and LLM-proposed equation mutations. Use for symbolic regression and equation discovery.
lingzhi227
svelte-core-bestpractices
Guidance on writing fast, robust, modern Svelte code. Load this skill whenever in a Svelte project and asked to write/edit or analyze a Svelte component or module. Covers reactivity, event handling, styling, integration with libraries and more.
sveltejs
technical-writer
Write comprehensive technical documentation including user guides, how-to articles, system architecture docs, onboarding materials, and knowledge base articles. Creates clear, structured documentation for technical and non-technical audiences. Use when users need technical writing, documentation, tutorials, or knowledge base content.
onewave-ai
bailian-protocol
阿里云百炼 `bl` 家族共享执行协议（consent 确认、版本预检、鉴权/安装、错误上报、本地文件与输出约定）。 不是面向用户意图的业务入口；当任一 bailian-* 业务 skill（bailian-cli / bailian-gen / bailian-finetune / bailian-managed-agent）执行前需要公共上下文，或用户首次安装/鉴权/`bl` 报错需上报时读取本 skill。 官方安装为整包：`npx skills add modelstudioai/cli --all -g`（与业务 skill 同装）；Agent Skills / `npx skills` 不会按 metadata 自动拉依赖。
modelstudioai
layers-observed-behaviour
Techniques for planning user research and synthesising it into grounded, confidence-rated findings about what users actually do
jamiemillresearch-planning
Design research plans and paper architectures. Given a research topic or idea, generate structured plans with methodology outlines, paper structure, dependency-ordered task lists, UML diagrams, and experiment designs. Use when starting a new research project or paper.
lingzhi227survey-generation
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Based on AutoSurvey pipeline. Use for writing comprehensive literature surveys.
lingzhi227
pdf-extraction
使用 pdfplumber 从 PDF 中提取文本、表格和元数据
claude-office-skillslayers-user-needs
Techniques for eliciting and prioritising user needs, pains, and desires — the opportunities that feed product strategy
jamiemilllayers-domain
Techniques for mapping a domain's concepts, terminology conflicts, and bounded contexts — the raw material the conceptual model is built from
jamiemillpaper-revision
Revise papers based on reviewer feedback. Map reviewer concerns to specific sections, apply targeted edits, run additional experiments if needed, and verify improvements. Use after receiving peer review with revision requests.
lingzhi227paper-writing-section
Write a specific section of an academic paper (Abstract, Introduction, Background, Related Work, Methods, Experiments, Results, Discussion/Conclusion) with section-specific guidance and two-pass refinement. Use when the user wants to write, draft, or improve a paper section.
lingzhi227novelty-assessment
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
lingzhi227experiment-design
Design experiment plans with progressive stages — initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper.
lingzhi227github-research
Explore and analyze GitHub repositories related to a research topic. Reads deep-research output, discovers repos from multiple sources, deeply analyzes code, and produces integration blueprints.
lingzhi227