AI TOOLS/AI 工具·CHAT-AGENT

loop-engineering

maxmilian/loop-engineering

中文简介生成中Loop Engineering — a skill for designing & reviewing autonomous/semi-autonomous agent loops (Claude Code, Codex, Copilot, Gemini).

打开仓库Open repository

怎么装：Install: git clone https://github.com/maxmilian/loop-engineering ~/.claude/skills/loop-engineering

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

历史不足Not enough history

只有 1 个快照，还不足以计算增长Only 1 snapshots so far — not enough to compute growth

讨论DISCUSSION

暂无None

还没有采集到外部讨论No external discussion collected yet

状态STATUS

长期未更新Not updated

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

中文能力说明生成中Chinese capability copy is being generated

05 / 安装05 / Install

怎么装How to install

GIT-CLONE

$

README 里给出的安装方式。The installation method given in the README.

两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.

06 / 限制与风险06 / Limits and risk

限制与风险Limits and risk

风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 未在文档中发现Not found in the docs
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要开发经验Needs development work

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/maxmilian/loop-engineering
原始数据哈希Raw data hash: 5073d450ab447f4241e46c27e872477e
解析时间Parsed at: 2026-10-03T11:04:50.285Z
最后一次验证Last verified: 2026-10-03T10:31:51.693Z
增长测量时间Growth measured: 2026-10-03T11:08:26.014Z
发现查询Discovery queries: focus:token:code:context-window
分类来源Category source: rules
焦点Focus: token (6)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "readme: …Ralph loop / RPI methodology, Claude Code's agent-loop docs, and the 20…"
    },
    {
      "agent": "cursor",
      "evidence": "readme: …our rules/instructions file (`.cursorrules`, `AGENTS.md`, etc.): ``` Wh…"
    },
    {
      "agent": "windsurf",
      "evidence": "readme: …ring/SKILL.md`. ### Cursor / Windsurf / any agent with an instructi…"
    },
    {
      "agent": "gemini-cli",
      "evidence": "readme: …g`) and restart the CLI. ### Gemini CLI Gemini activates skills via i…"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …p-engineering/SKILL.md.` ### GitHub Copilot CLI Copilot auto-discovers sk…"
    }
  ],
  "apiKey": null,
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 4,
      "dev-tools": 2,
      "indie-web": 0,
      "skill-agent": 7,
      "productivity": 3
    },
    "primary": "ai-tools",
    "secondary": "chat-agent"
  },
  "localRuntime": "install: git-clone",
  "skillMdTotal": 1,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 9,
    "media": 0,
    "design": 1,
    "browser": 0,
    "devtool": 2,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "1 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "README describes a Claude / Agent Skill",
      "weight": 0.7
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    "SKILL.md"
  ],
  "skillMdFetched": 1
}