templates-skills
11 paper templates skills. Trigger: starting a new paper, formatting for submission, venue-specific layouts. Design: ready-to-use templates for arXiv preprint, conferences, thesis, and posters.
11 paper templates skills. Trigger: starting a new paper, formatting for submission, venue-specific layouts. Design: ready-to-use templates for arXiv preprint, conferences, thesis, and posters.
Write Tsinghua University theses using the ThuThesis LaTeX template
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models. Documents data structures, relationships, and attributes.
小红书笔记素材创作技能。当用户需要创建小红书笔记素材时使用这个技能。技能包含:根据用户的需求和提供的资料,撰写小红书笔记内容(标题+正文),生成图片卡片(封面+正文卡片),以及发布小红书笔记。
Content management for zig-learning learning resource aggregator. Triggers: 'add resource', 'review PR', 'categorize', 'assess quality', 'update content'
Artifact template structures, H2 compliance rules, and documentation styling for agent outputs (Steps 1-7). USE FOR: generating any agent artifact, checking H2 structure compliance. DO NOT USE FOR: Azure resource configuration (use azure-defaults), Bicep/Terraform patterns (use bicep-patterns or terraform-patterns).
Expert guide for the NotebookLM CLI (`nlm`) - a command-line interface for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.
Generates the final response package for ADU permit corrections — the second half of the corrections pipeline. This skill should be used after adu-corrections-flow has produced its analysis files and the contractor has answered questions. It reads the research artifacts (categorized corrections, state law findings, city research, sheet observations) plus contractor answers, and produces four deliverables — a response letter to the building department, a professional scope of work, a corrections status report, and per-sheet annotations. Triggers when a session directory contains corrections analysis files and a contractor_answers.json has been provided. This skill runs as a cold start — it has no conversation history from the analysis phase and relies entirely on the file artifacts.
Analyzes ADU permit corrections letters — the first half of the corrections pipeline. Reads the corrections letter, builds a sheet manifest from the plan binder, researches state and city codes, views referenced plan sheets, categorizes each correction item, and generates informed contractor questions. This skill should be used when a contractor receives a city corrections letter for an ADU permit. It coordinates three sub-skills (california-adu for state law, adu-city-research for city rules, adu-targeted-page-viewer for plan sheet navigation) to produce research artifacts and a UI-ready questions JSON. Does NOT generate the final response package — that is handled by adu-corrections-complete after the contractor answers questions. Triggers when a corrections letter PDF/PNG is provided along with the plan binder PDF.
Local demo: City-side ADU plan review. Point this at a plan binder (PDF or pre-extracted PNGs) and a city name. It reviews the plans sheet-by-sheet against state and city code, then generates a draft corrections letter. Fire-and-forget — no human-in-the-loop pause. Triggers on: 'Review this ADU plan set for [City]' or 'Run the city review on [path]'.
Generate 2-minute product demo videos for technical projects (GitHub repos, APIs, technical products). Runs parallel build options with structured critic review. Use when demoing code, explaining architecture, or creating explainer videos.
Analyze Adobe Illustrator (.ai) files to extract design information including text content, fonts, color palettes, vector paths, and generate high-resolution preview images. Use when analyzing logo files, design assets, or any Adobe Illustrator documents that need programmatic inspection.
Design Looker Studio reports and dashboards. Use when creating Looker Studio reports, designing data sources, or writing visualization specifications. Trigger on "Looker Studio", "レポート設計", "ダッシュボード".
Use when designing/modifying system architecture or evaluating technology choices. Enforces 7-section TodoWrite with 22+ items. Triggers: "design architecture", "system design", "architectural decision", "should we use [tech]", "compare [A] vs [B]", "add new service", "microservices", "database choice", "API design", "scale to [X] users", "infrastructure decision". If thinking ANY of these, USE THIS SKILL: "quick recommendation is fine", "obvious choice", "we already know the answer", "just need to pick one", "simple architecture question".
Interactive skill for creating new bible study tools that generate AI-readable commentary data. Guides users through defining practical tasks, setting up proper file structure, and establishing self-learning loops for data generation.
Defines the standard 8-category taxonomy for classifying project files: Config, Tests, Docs, Scripts, Source Code, Data, AI Tooling, and Other. REFERENCE THIS SKILL whenever categorizing files, auditing project structure, or answering 'what types of files are here.' Apply these categories and patterns whether using the bundled script or manual analysis.
This skill generates interactive Causal Loop Diagram (CLD) MicroSims using the vis-network JavaScript library. Use this skill when users need to create causal loop diagrams for systems thinking education, showing feedback loops, reinforcing and balancing dynamics. The skill creates a complete MicroSim package with index.md, main.html, JavaScript, JSON data, and CSS files in the /docs/sims/ directory. This skill should be used when users request creating CLDs, causal diagrams, feedback loop visualizations, or systems thinking diagrams.
This skill generates interactive comparison table MicroSims for educational content. Use this skill when users need to create side-by-side comparisons of items with star ratings (1-5 scale), difficulty badges (Easy/Medium/Hard), logos, hover tooltips, and description columns. The skill creates a complete MicroSim package with HTML, CSS, logos directory, index.md documentation, and metadata.json, then updates mkdocs.yml navigation.
Research product compositions using AI and web sources. Use when needing to find what products, substances, or objects are made of - including ingredients, materials, chemicals, and elements. Essential for building composition data.
This skill should be used when users need to evaluate course content, workshop materials, or training programs against a set of evaluation criteria (such as ICP-BAF learning outcomes). The skill audits content comprehensively, identifies gaps, and provides actionable recommendations.
This skill should be used when the user requests learning materials for algorithm or data structure patterns (e.g., "Create learning material for sliding window pattern"). It automatically generates structured markdown documents in the _learning/ folder and updates the main README.md with links to the new materials.
Scaffolds a new design in the design-inspirations repo with preview component, detail page, and main page entry. Use when creating a new design, adding a design inspiration, or scaffolding design files.
Chapter-by-chapter outline generator for stories planned with the Crucible Structure. Use when a user has completed Crucible planning documents (thesis, strand maps, forge points, etc.) and wants to create detailed chapter outlines. Triggers on requests like "outline my book," "create chapter outline," "outline Book 1," "turn my Crucible plan into chapters," or when user has Crucible planning docs and wants to start writing. Works for single books or multi-book series.