Belos Street

Community

belos-street

个人编码习惯与最佳实践总纲 — 命名 / 代码组织 / 风格工具链 / TS 严格模式 / 错误处理 / 测试 / 审查 / LLM 编码 / Git 工作流 / Bun 工程约定 / 文档写作。写码、review、写文档之前先读本 skill 定位要查哪篇。

Overview

Publisher	belos-street
Repository	`stock-analytics-agent`
Skill name	`belos-street`
Stars	57
Forks	9
Bundled files	13
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by belos-street on GitHub. Read the source before you install it.

Installation

Install the Belos Street AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/belos-street/stock-analytics-agent/tree/main/.agents/dev/belos-street
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/belos-street/stock-analytics-agent/tree/main/.agents/dev/belos-street

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/belos-street/stock-analytics-agent.git /tmp/stock-analytics-agent
mkdir -p .claude/skills
cp -r /tmp/stock-analytics-agent/.agents/dev/belos-street .claude/skills/belos-street

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Belos Street in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Belos Street on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Belos Street is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Belos Street Coding Conventions

个人编码习惯与最佳实践

使用场景 → 读哪篇（先看这里）

你在做什么	先读
写新代码 / 改代码	命名 → naming-conventions；结构 → code-organization；类型 → typescript-strictness
搭项目 / 配工具链	风格与 oxfmt/oxlint → code-style；Bun 工程 → bun-project-conventions
写错误处理 / 日志	error-handling
写测试	理念与 TDD → testing-philosophy
人工 / LLM 审查代码	八维流程 → code-review-dimensions
用 AI / LLM 生成、重构代码	生成代码的行为准则 → llm-coding-guidelines
用 AI 写码 / AI review / 搭建 AI 编码工作流	上下文工程 / 验收流程 / 多 Agent 协作 → ai-coding
提交 / 推送 / 分支	git-workflow
写教学文档 / 教程	doc-writing-guidelines

Naming Conventions

文件与目录命名 → See naming-conventions

Code Organization

代码组织方式 → See code-organization

Code Style

代码风格配置（oxfmt / oxlint 为主，Prettier 兼容旧项目）→ See code-style

TypeScript Strictness

strict 全家桶、as 断言纪律、unknown 优先 → See typescript-strictness

Error Handling

永不静默吞错、typed error、fail-fast → See error-handling

Testing Philosophy

测试理念 → See testing-philosophy

Code Review

多维度代码审查（可读性 / 一致性 / 正确性 / 健壮性 / 耦合 / 抽象 / 性能 / 安全）→ See code-review-dimensions

Project Evaluation

项目综合水平评价（10 分制多维评分 + 团队画像 + 行动优先级）→ See project-evaluator

LLM Coding Guidelines

LLM 编码指南 → See llm-coding-guidelines

AI Coding（AI 增强开发工作流）

用 Agent 写代码工作流：使用边界 / 上下文工程 / 产物验收 / AI review / 多 Agent 协作 → See ai-coding

Git Workflow

提交规范 / 分支策略 / 协作流程 → See git-workflow

Bun 工程约定

Bun 运行时 / 依赖纪律 / scripts 标准集 → See bun-project-conventions

Documentation Writing

文档编写规范 → See doc-writing-guidelines

Quick Reference

命名风格速查表

类型	风格	示例
文件/目录	kebab-case	`user-profile.ts`, `api-helper/`
Vue/React 组件	kebab-case	`user-profile.vue`, `product-card.tsx`
函数/变量	camelCase	`fetchUserData`, `isLoading`
接口/类型	PascalCase	`UserInfo`, `ApiResponse`
常量	UPPER_SNAKE_CASE	`MAX_RETRY_COUNT`
布尔值	is/has/can 前缀	`isActive`, `hasPermission`

编码核心原则

一致性优先 - 在整个项目中保持命名风格一致
描述性 - 命名要有意义，能表达意图
简洁 - 在保证清晰的前提下尽量简短
避免缩写 - 除非是广泛认可的缩写（如 id, api, url）

风格与工具链一句记

单引号、无分号、无尾逗号、2 空格、80 列；Lint 用 oxlint、Format 用 oxfmt（旧项目 Prettier 等价）。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Belos Street AI skill do?

Why use Belos Street on TypingMind?

Because you install it once and use it with any model. Belos Street is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Belos Street in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/belos-street/stock-analytics-agent/tree/main/.agents/dev/belos-street. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Belos Street?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Belos Street?

As many as you like. As long as a model supports skills, you can use Belos Street with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Belos Street AI skill free?

Yes. It is published on GitHub by belos-street under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Belos Street Coding Conventions

使用场景 → 读哪篇（先看这里）

Naming Conventions

Code Organization

Code Style

TypeScript Strictness

Error Handling

Testing Philosophy

Code Review

Project Evaluation

LLM Coding Guidelines

AI Coding（AI 增强开发工作流）

Git Workflow

Bun 工程约定

Documentation Writing

Quick Reference

命名风格速查表

编码核心原则

风格与工具链一句记

Bundled files

Frequently asked questions

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