研究与知识
研究、检索、摘要和知识工作
Skills 列表
backward-traceability
Make every number in the final PDF traceable to the exact code line that produced it. Uses \hypertarget/\hyperlink LaTeX commands and \num{formula} evaluated at compile time. Use for reproducibility and data integrity verification.
lingzhi227related-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
Generate publication-quality LaTeX tables from experimental results. Convert JSON/CSV data to booktabs-styled tables with bold best results, multi-row layouts, and proper captions. Use when creating result tables, comparison tables, or ablation tables for papers.
lingzhi227self-review
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.
lingzhi227slide-generation
Convert a completed paper into presentation slides (Beamer LaTeX) or poster. Extract key figures, tables, equations, and create a narrative flow for oral presentation. Identified gap in existing tools — designed from best practices.
lingzhi227atomic-decomposition
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
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.
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
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
Extract text, tables, and metadata from PDFs using pdfplumber
claude-office-skillslayers-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.
lingzhi227idea-generation
Generate novel research ideas with iterative refinement and novelty checking against literature. Score ideas on Interestingness, Feasibility, and Novelty. Use when brainstorming research directions or validating idea novelty.
lingzhi227
pixijs-migration-v8
Use this skill when upgrading to PixiJS v8 from v7 or diagnosing broken v7 code after an upgrade. Covers async app.init, single pixi.js package (deprecated @pixi/* sub-packages), Graphics shape-then-fill, BaseTexture → TextureSource, shader/uniform rework, ParticleContainer+Particle, constructor options objects, DisplayObject removal, settings/utils removal, Ticker signature, events rewrite. Triggers on: migrate v7, v8 breaking changes, @pixi/ import, DisplayObject, beginFill, endFill, cacheAsBitmap, BaseTexture, deprecated.
pixijsdeep-research
Conduct systematic academic literature reviews in 6 phases, producing structured notes, a curated paper database, and a synthesized final report. Output is organized by phase for clarity.
lingzhi227data-analysis
Generate statistical analysis code with 4-round review. Select appropriate statistical tests, interpret results, and produce analysis reports with p-values, effect sizes, and confidence intervals. Use when analyzing experimental data for a paper.
lingzhi227math-reasoning
Formal mathematical reasoning for research papers — derive equations, write proofs, formalize problem settings, select statistical tests, and generate LaTeX math notation. Use when the user needs mathematical derivations, theorem proofs, notation tables, or statistical analysis formalization.
lingzhi227