A
AftabIbrahimKazi/ai-dev-kit
Agent skills (SKILL.md), layered coding standards, a project-wide code audit and optional free/local MCP…
无 SECURITY.md
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
- ★ 数取值
- 10 ★ · AftabIbrahimKazi/ai-dev-kit · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
- 收录与活跃
- 收录于 2026-10-21 · 最近见到 2026-11-14 · 共见到 28 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 10 ★ · 1 个来源 · repo
常见问题(答案都来自我们的记录)
它适合谁 / 用来做什么?
我们把它归在这些标签下: Agent 技能。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
AftabIbrahimKazi/ai-dev-kit;我们收录于 2026-10-21;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# AI Dev Kit
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Agent skills, optional MCP tools, and layered coding standards for AI-assisted development — Claude Code, OpenCode, Codex, and any coding agent that reads markdown.
Portable SKILL.md agent skills, framework-agnostic coding standards, and opt-in free/local MCP servers (UI prototyping, image reading, image generation, file pre-filtering) for teams building with AI pair programmers. One clone. Drop two folders into any project. Every session works your way — and gets better at it with use.
Listed under AI Hub → Skills on Three.js Resources — a curated directory for Three.js AI tools.
## Quick start
bash
git clone https://github.com/AftabIbrahimKazi/ai-dev-kit.git
cp -r ai-dev-kit/skills ai-dev-kit/coding-standards your-project/
On Windows PowerShell: Copy-Item -Recurse ai-dev-kit/skills, ai-dev-kit/coding-standards your-project/
Then open Claude Code, OpenCode, Codex or any agent that reads markdown in your-project and say:
> read skills/README.md and install
The installer copies markdown files only: no packages, no build step. Full details: Install into a project.
Why use it
Consistent sessions. The standards chain loads for each file you edit (the optional standards-chain mod makes that mechanical), and skills load when the agent recognises their trigger, so session ten behaves like session one. Skill loading is model-judged, not guaranteed; the mods are what enforce the critical gates.
Fewer wasted tokens. Skills load only when relevant, reads are targeted, cheap models take the cheap work, and a script finds violations so the agent does not have to.
Standards that are enforced, not just written down. Rules are testable, the agent self-checks before a commit, and gaps are flagged instead of improvised.
Cleanup of old or shared code. code-audit counts violations across a whole project and lists the exact lines, so the agent reads only what is flagged.
## What's in the kit
The kit is two independent systems that share one install path. skills/ teaches an AI coding agent how to work — session discipline, model-specific behavior, memory, coordination. coding-standards/ teaches it what correct code looks like for this project — language rules, file-role conventions, framework overrides. Either can be adopted alone; together, the coding-standards skill is what loads and enforces the standards chain during a session, so a project that wants enforcement needs both folders.
Every skill is a single portable markdown file with name + description frontmatter — the description is situation-first ("use whenever … load this BEFORE …") so it loads only when relevant — and reads a project-local, gitignored learnings.md sidecar at start and appends a lesson at end, so this repo stays the clean upstream while each install compounds its own experience. Every standard is testable and declarative, with wrong/right examples wherever a rule could be misread, and flags a gap (RULE AI-12) rather than inventing a rule where the standards are silent. They interlock at one seam: the install-kit skill installs both in one pass, and the coding-standards skill is what actually loads and walks the standards chain during a session — without it, coding-standards/ is just reference documentation.
Portable SKILL.md agent skills, framework-agnostic coding standards, and opt-in free/local MCP servers (UI prototyping, image reading, image generation, file pre-filtering) for teams building with AI pair programmers. One clone. Drop two folders into any project. Every session works your way — and gets better at it with use.
Listed under AI Hub → Skills on Three.js Resources — a curated directory for Three.js AI tools.
## Quick start
bash
git clone https://github.com/AftabIbrahimKazi/ai-dev-kit.git
cp -r ai-dev-kit/skills ai-dev-kit/coding-standards your-project/
On Windows PowerShell: Copy-Item -Recurse ai-dev-kit/skills, ai-dev-kit/coding-standards your-project/
Then open Claude Code, OpenCode, Codex or any agent that reads markdown in your-project and say:
> read skills/README.md and install
The installer copies markdown files only: no packages, no build step. Full details: Install into a project.
Why use it
Consistent sessions. The standards chain loads for each file you edit (the optional standards-chain mod makes that mechanical), and skills load when the agent recognises their trigger, so session ten behaves like session one. Skill loading is model-judged, not guaranteed; the mods are what enforce the critical gates.
Fewer wasted tokens. Skills load only when relevant, reads are targeted, cheap models take the cheap work, and a script finds violations so the agent does not have to.
Standards that are enforced, not just written down. Rules are testable, the agent self-checks before a commit, and gaps are flagged instead of improvised.
Cleanup of old or shared code. code-audit counts violations across a whole project and lists the exact lines, so the agent reads only what is flagged.
## What's in the kit
The kit is two independent systems that share one install path. skills/ teaches an AI coding agent how to work — session discipline, model-specific behavior, memory, coordination. coding-standards/ teaches it what correct code looks like for this project — language rules, file-role conventions, framework overrides. Either can be adopted alone; together, the coding-standards skill is what loads and enforces the standards chain during a session, so a project that wants enforcement needs both folders.
Every skill is a single portable markdown file with name + description frontmatter — the description is situation-first ("use whenever … load this BEFORE …") so it loads only when relevant — and reads a project-local, gitignored learnings.md sidecar at start and appends a lesson at end, so this repo stays the clean upstream while each install compounds its own experience. Every standard is testable and declarative, with wrong/right examples wherever a rule could be misread, and flags a gap (RULE AI-12) rather than inventing a rule where the standards are silent. They interlock at one seam: the install-kit skill installs both in one pass, and the coding-standards skill is what actually loads and walks the standards chain during a session — without it, coding-standards/ is just reference documentation.
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/aftabibrahimkazi-ai-dev-kit/)
- 来源
- github · https://github.com/AftabIbrahimKazi/ai-dev-kit
- 按领域浏览
- Agent 技能
- Traction
- 10 ★
- 收录于
- 今天
- 安全策略
- 我们没在该仓库根目录找到
SECURITY.md(这不代表不安全)
同类推荐
所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。