FastAPI Best Architecture (fba) project development guide. Provide complete architecture specifications, coding styles, and plugin development guidance.
Analyze the current repo deeply and suggest agentic workflows tailored to its architecture, patterns, and pain points. Use when user calls /aw-planner.
"architecture review", "dependency check", "code quality"
Generate 3D models using each::sense AI. Create 3D assets from text or images for games, products, architecture, characters, vehicles, and more with PBR textures.
Creates, lists, and manages Architecture Decision Records for Java projects. Use when user asks to "create an ADR", "document this decision", "write an architecture decision", "add ADR", "list decisions", "show ADRs", or "record this architectural choice".
Generate phased implementation roadmaps from Architecture Decision Records
Use when the user asks about codebase structure, architecture, what a project does, how components relate, or needs project-wide context to answer a question.
Apply when scoping, reviewing, or documenting cross-cutting VTEX commerce architecture across storefront, IO, headless, marketplace, payments, or any other VTEX module. Grounds work in the Well-Architected Commerce framework—Technical Foundation (reliability, trust, integrity; security, infrastructure, compliance), Future-proof (innovation, simplicity, efficiency; scalable and adaptable solutions), and Operational Excellence (accuracy, accountability, data-driven improvement; process and customer experience). Routes implementation detail to product tracks (IO caching and paths, Master Data strategy, marketplace integrations). Use for solution design, architecture reviews, and RFP-level technical structure.
Deeply read and explain unfamiliar codebases. Use when Codex needs to explain a file or module, trace a function or request flow, map a project's architecture, clarify design intent, or review which parts of the code can be improved or extended. 适用于：解释一个文件或模块是做什么的、追踪函数或请求的执行流程、梳理项目架构、说明为什么这样设计、分析一段代码的核心逻辑，或评估哪些部分可以优化、重构、改进或扩展。
Analyzes a codebase and generates animated HTML architecture reports — beautiful, bespoke visualizations with interactive animated diagrams showing how the system works. Use this skill whenever the user asks to "visualize the codebase", "explain the architecture", "generate a diagram", "show how the code flows", "create an architecture diagram", "animate the data flow", "explain this repo visually", "show me how this works", or "generate an architecture report". --- # Codebase Visualizer Analyzes a codebase and produces beautiful, self-contained HTML architecture outputs with animated flow diagrams. =================================================================== OUTPUT MODES =================================================================== /archflow → Full architecture report (default) /archflow-diagram → Animated diagram only (legacy, self-contained) /archflow-slides → Slide deck presentation =================================================================== WORKFLOW — FULL REPORT (default: /archflow) =================================================================== 1. ANALYZE Read references/analysis.md → scan the codebase Read references/layouts.md → decide the diagram layout pattern 2. THINK (commit to a visual direction before coding) Read references/design-system.md → CSS patterns library Read references/libraries.md → fonts, Mermaid, CDN imports Read references/design-qa.md → quality gates
Architecture-as-code using C4 model and Structurizr DSL. Use when the project has `architecture.c4` enabled in settings, or when the user asks about C4 diagrams, Structurizr, architecture boundaries, or dependency rules. Teaches agents how to maintain a canonical architecture model alongside ARCHITECTURE.md, declare machine-checkable boundaries, and export diagrams.
Review architectural decisions and design patterns for scalability and maintainability. Trigger with "review the architecture", "is this design scalable", "architecture feedback", or "design review".
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
