Agent skill

AI First Engineering

by affaan-m in affaan-m/ECC

“团队中人工智能代理生成大部分实施输出的工程运营模型。”

— description from SKILL.md by affaan-m
MITAuto-check passed

Install AI First Engineering

skills CLI
$ npx skills add affaan-m/ECC --skill ai-first-engineering -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install affaan-m/ECC ai-first-engineering --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/zh-CN/skills/ai-first-engineering .claude/skills/ai-first-engineering && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ai-first-engineering
GitHub stars
276k
Used in
1 other repo
Token cost
~129 tokens
SKILL.md length
35 words
Files
1
Skills in repo
683
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 3 steps: 规划质量比打字速度更重要。 → 评估覆盖率比主观信心更重要。 → 评审重点从语法转向系统行为。
  • SKILL.md covers 流程转变, 架构要求, 人工智能优先团队中的代码评审 and 招聘和评估信号, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

AI First Engineering is a skill in affaan-m/ECC (276k stars). Its SKILL.md is about 129 tokens, and copies of it appear in 1 other owners' repositories. Licence: MIT.

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 规划质量比打字速度更重要。
  2. 评估覆盖率比主观信心更重要。
  3. 评审重点从语法转向系统行为。

What it can do on your machine

Read from SKILL.md and the folder at commit 4eb71d9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI First Engineering loads about 129 tokens when it runs. Until then it costs about 12 tokens; SKILL.md has 35 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~12
When it runs · the whole SKILL.md, loaded when a task matches
~129

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 35 words, ~129 tokens.

Download SKILL.mdSave it as .claude/skills/ai-first-engineering/SKILL.md (or your agent's skills folder).
name
ai-first-engineering
description
团队中人工智能代理生成大部分实施输出的工程运营模型。
origin
ECC

人工智能优先工程

在为由人工智能辅助代码生成的团队设计流程、评审和架构时,使用此技能。

流程转变

  1. 规划质量比打字速度更重要。
  2. 评估覆盖率比主观信心更重要。
  3. 评审重点从语法转向系统行为。

架构要求

优先选择对智能体友好的架构:

  • 明确的边界
  • 稳定的契约
  • 类型化的接口
  • 确定性的测试

避免隐含的行为分散在隐藏的惯例中。

人工智能优先团队中的代码评审

评审关注:

  • 行为回归
  • 安全假设
  • 数据完整性
  • 故障处理
  • 发布安全性

尽量减少花在已由自动化覆盖的风格问题上的时间。

招聘和评估信号

强大的人工智能优先工程师:

  • 能清晰地分解模糊的工作
  • 定义可衡量的验收标准
  • 生成高价值的提示和评估
  • 在交付压力下执行风险控制

测试标准

提高生成代码的测试标准:

  • 对涉及的领域要求回归测试覆盖率
  • 明确的边界情况断言
  • 接口边界的集成检查

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in docs/zh-CN/skills/ai-first-engineering of affaan-m/ECC.

Open the folder on GitHubat commit 4eb71d9

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.

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Questions about AI First Engineering

How do I install AI First Engineering in Claude Code?

Run `npx skills add affaan-m/ECC --skill ai-first-engineering -a claude-code`. Or copy the skill folder (docs/zh-CN/skills/ai-first-engineering in affaan-m/ECC) into .claude/skills/ai-first-engineering in your project. Claude Code loads it when a task matches its description.

How do I install AI First Engineering in Codex?

Run `npx skills add affaan-m/ECC --skill ai-first-engineering -a codex`. Or copy the skill folder (docs/zh-CN/skills/ai-first-engineering in affaan-m/ECC) into .agents/skills/ai-first-engineering in your project. Codex loads it when a task matches its description.

Can I use AI First Engineering in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill ai-first-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-first-engineering, .gemini/skills/ai-first-engineering, .github/skills/ai-first-engineering and .opencode/skills/ai-first-engineering in your project.

What does AI First Engineering need to run?

SKILL.md names no scripts, command-line tools or credentials: AI First Engineering is instructions for the agent only.

Does AI First Engineering access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AI First Engineering safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does AI First Engineering use?

AI First Engineering is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AI First Engineering use?

About 129 tokens (SKILL.md is roughly 516 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

Who maintains AI First Engineering?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.