Addon screen-space post-processing for three.js using EffectComposer, Pass base class, RenderPass, and stock passes such as UnrealBloomPass, SSAOPass, SSRPass, BokehPass, OutlinePass, FXAAPass/SMAAPass, TAARenderPass, and ShaderPass; references the Shaders addon group for underlying shader modules. Use when building composer chains for bloom, SSAO, or other screen-space effects; not for basic renderer tone mapping alone (threejs-renderers).

Core rendering pipeline for three.js using WebGLRenderer and WebGPURenderer, canvas sizing, device pixel ratio, color space and tone mapping, output encoding, WebGL/WebGPU render targets, Info statistics, and addon overlay renderers (CSS2D/CSS3D/SVG). Use when tuning the draw loop, performance, or switching WebGPU vs WebGL; for EffectComposer passes use threejs-postprocessing; for XR session lifecycle use threejs-webxr; for shader graphs use threejs-node-tsl.

three.js Scene graph root object, linear Fog and exponential FogExp2, Scene.background for solid colors or textures, and high-level environment background concepts that tie to PMREM and loaders in other skills. Use when configuring world container, atmospheric fog, or background; for HDR env map file loading use threejs-loaders; for GPU texture settings after load use threejs-textures; for tone mapping use threejs-renderers.

three.js textures: Texture, DataTexture, CubeTexture, CompressedTexture variants, DepthTexture, VideoTexture, CanvasTexture, 3D/array textures, Source; sampling parameters, mipmaps, anisotropy, wrap/mag/min filters; PMREMGenerator in Extras for environment map prefiltering. Use when configuring GPU texture objects and PMREM; for Draco/KTX2 transcoder file paths use threejs-loaders; for material map slots use threejs-materials; for output color pipeline use threejs-renderers.

WebXR integration for three.js: WebXRManager and XRManager on the renderer, session initialization patterns, VRButton and ARButton helpers, XRControllerModelFactory and hand model families, XREstimatedLight, XRPlanes, and related addon Webxr utilities. Use for immersive sessions and controller/hand tracking—not for standard desktop camera projection (threejs-camera) or composer post effects (threejs-postprocessing).

Provides structured guidance for Vant of Vue 3.0. Use when the user needs Vant with Vue 3, asks about mobile UI components such as Button, Cell, Form, Dialog, Toast, Popup, ConfigProvider, theme customization, project setup, or wants to implement mobile-first interfaces with vant or van- components.

> 从零到发布：API 发现 → 认证策略 → 写适配器 → 测试验证。

Scrum-inspired paper review, revision, and R&R workflow. Handles docx/tex/md/PDF in English or Chinese. Auto-detects manuscript stage, estimates sprint count, runs multi-lens review (Contribution/Rigor/Writing/Editor), generates prioritized revision backlog, exports MD/DOCX/PDF/HTML reports. Use when asked to review a paper, revise based on reviewer comments, handle R&R, respond to peer review, plan paper revision sprints, or when user types /ps or /papersprint.

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

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Academic paper writing skill with 12-agent pipeline. v2.5: Style Calibration (learn author's writing voice from past papers) + Writing Quality Check (writing quality checklist for natural prose). Supports IMRaD, literature review, theoretical, case study, policy brief, and conference paper structures. APA 7.0 (default), Chicago, MLA, IEEE, Vancouver citation formats. Bilingual abstracts (zh-TW + EN). Multi-format output (LaTeX, DOCX, PDF, Markdown). Triggers on: write paper, academic paper, paper outline, write abstract, revise paper, check citations, convert to LaTeX, guide my paper, parse reviews, revision roadmap, 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 檢查引用, 引導我寫論文, 帶我規劃論文, 逐章規劃, 論文架構, 審查意見, 修訂路線圖.

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.

Automate the workflow of discovering, reviewing, and summarizing recent research papers on arXiv related to EEG decoding, brain-computer interfaces, and neural foundation models.

Extract and apply knowledge from Kaggle competition winning solutions. This skill provides access to a continuously updated knowledge base of techniques, code patterns, and best practices from top Kag

Remove AI-generated writing patterns from text to make it sound natural and human-written. Supports both English and Chinese.

使用此 skill 处理已有中文 LaTeX 学位论文项目中的定向问题。保持低摩擦：先判断最小匹配模块，再运行对应脚本，最后以论文审阅友好的格式返回问题和建议。

`paper-audit` is now **deep-review-first**. Its core job is to behave like a serious reviewer: find technical, methodological, claim-level, and cross-section issues; keep script-backed findings separa

Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.

Generate publication-quality illustrations using a **multi-stage workflow** with **Claude as the STRICT supervisor/reviewer**.

Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or turn messy theory notes into a paper-ready derivation skeleton. Use for research-style formula development, not for fully rigorous theorem proving once the claim is already fixed.

Access Chinese and global financial data using the AkShare Python library

Using Baidu Scholar for Chinese and English academic literature search

scenario-analyzer

shioaji

This skill provides an AI-driven workflow for analyzing SRT subtitle files and adding contextual reference cards below subtitle text blocks. Cards are intelligently selected based on content context a

This skill provides an AI-driven workflow for enhancing SRT subtitle files by comparing them with an original reference document (`origin.md`). The enhancement process corrects typos, standardizes pro

Skywork-ppt

基于 Data View 和 Task Center API 的数据质量管理。管理质量规则、查询逻辑视图、创建检测工单。当用户需要数据质量相关操作时使用。

Use when the user wants to generate, rewrite, validate, or prepare Git commit messages, pull request titles, or pull request descriptions.

根據當前 branch 與目標 branch 的差異，自動產生 Pull Request 的 Title 與 Description。當使用者提到「PR」、「Pull Request」、「寫 PR」、「PR 描述」、「PR description」、「建立 PR」時觸發此 Skill。

將雜亂的 git 變更，依功能邏輯自動拆分成多個有意義的 conventional commit

分析使用者需求，判斷是否適合以 `git worktree` 拆分成多個 feature branch 平行開發，提供建議方案並執行。

Generate professional visual note cards (视觉笔记卡片/信息图) from knowledge base content as single-page HTML infographics with PNG export. Use when users want to create visual summaries, knowledge cards, infographics, or poster-style visualizations of topics from the knowledge base.

Analyze Apple Health export ZIP. Run local prepare to generate structured insights, then produce either a health report or a training report with long-term context.

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Professional-grade contract review skill that adds comment-based issue annotations without changing original text. Enforces a four-layer review (entity verification, basic, business, legal), writes structured comments (issue type, risk reason, revision suggestion) with risk level encoded via reviewer name, and generates a contract summary, consolidated opinion, and Mermaid business flowchart (with rendered image). Output language must follow the contract’s language.

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