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Agent Skill · 效率

opentangl(opentangl 开发)

opentangl 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

opentangl 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 3,498。

总安装 17,082周安装 691GitHub Stars 2下载 5,362核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.10

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:opentangl(opentangl 开发)
来源仓库:https://github.com/8co/opentangl
安装命令:
openclaw skills install opentangl
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install opentangl

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

全栈开发团队协作工具,由用户描述愿景自动生成完整代码实现。支持跨仓库构建、PR 提交与合并审查全流程自动化。适用于快速原型开发与 MVP 搭建场景。opentangl 属于效率类 Skill,可作为该场景下的辅助能力补充。生成代码需经人工审核后方可上线,防范潜在漏洞风险。

安装命令:openclaw skills install opentangl

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install opentangl;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

opentangl 怎么安装?

在终端执行 openclaw skills install opentangl。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

opentangl 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

opentangl 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

opentangl 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

opentangl 用的人多吗?

公开数据是累计安装 17,082 次,近一周安装 691 次,下载 5,362 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

opentangl 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
opentangl

opentangl 开发 · 本页

17,0822接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
opentangl
description
Not a code generator — an entire dev team. You write the vision, it ships the code. Autonomous builds, PRs, reviews, and merges across multiple repos. Point it at any JS/TS project and a product vision. It plans features, writes code, verifies builds, creates PRs, reviews diffs, and merges — autonomously. Manages multiple repos as one product. Use when you want to ship code without writing it. AI code generation, autonomous development, workflow automation, multi-repo orchestration, TypeScript, JavaScript, GitHub, OpenAI, Anthropic, Claude, GPT, LLM, devtools, CI/CD, pull requests, code review.
homepage
https://github.com/8co/opentangl
category
development
tags
["ai-agents", "code-generation", "autonomous-development", "multi-repo", "typescript", "javascript", "github", "pull-requests", "openai", "anthropic", "claude", "gpt", "llm", "devtools", "workflow-automation", "ci-cd", "code-review", "codegen"]
metadata
{"clawdbot":{"emoji":"🤖","requires":{"bins":["node","git","gh"]}}}

OpenTangl

Configure a self-driving development loop for any JavaScript/TypeScript project. This skill detects your project setup, generates configuration files, and prepares OpenTangl to run autonomously.

Follow these steps in order. Complete each step fully before moving to the next. Wait for user confirmation at every gate before proceeding. Do not skip steps or combine them — the user needs to complete actions on their end between steps.

Prerequisites

The user must have OpenTangl cloned and installed before using this skill. If they haven't, provide these commands for them to run:

git clone https://github.com/8co/opentangl.git
cd opentangl
npm install

Do not run these commands on the user's behalf. Wait for confirmation that OpenTangl is installed.

Once confirmed, verify the required tools are present. Run each check and report the results:

  • Node.js ≥ 18 — run node --version and show the output
  • git — run git --version and show the output
  • GitHub CLI — run gh auth status and show the output (needed for PR creation and merging)

Report all results to the user. If anything is missing, tell them exactly how to install it and stop until resolved.

Step 1 — Determine the Target Project

Ask the user:

Are you improving (a) an existing project, or (b) starting from scratch?

Path A: Existing Project

  1. Ask: "Where is your project?" Accept a path. If they say "this directory," use cwd.
  2. Tell the user you'll read config files in their project directory to detect the setup. Only inspect files in the directory the user provided — do not scan outside it. Check:

- Type: tsconfig.json → TypeScript, vite.config.ts → Vite, next.config.* → Next.js, serverless.yml → Serverless - Package manager: package-lock.json → npm, yarn.lock → yarn, pnpm-lock.yaml → pnpm - Build/test commands: Read package.json scripts for build, test, lint, typecheck - Source dirs: Default to src/ if it exists - Target branch: Check git symbolic-ref refs/remotes/origin/HEAD or look for main vs master

  1. Show everything you detected and confirm with the user before proceeding.
  2. Ask: "Are there other repos that are part of this same product?" If yes, repeat detection for each.

Path B: New Project

Tell the user to scaffold and initialize their project before continuing. Suggest the appropriate tool based on what they want to build:

  • React + Vite: npm create vite@latest {name} -- --template react-ts
  • Next.js: npx create-next-app@latest {name} --typescript
  • Express: create package.json + src/index.ts manually

They should also initialize git and create a GitHub repo:

cd {name}
git init && git add . && git commit -m "Initial scaffold"
gh repo create {name} --public --source . --push

Do not run these commands on the user's behalf. Once they confirm the project exists with a GitHub remote, continue.

Step 2 — Generate projects.yaml

Create projects.yaml in the OpenTangl root directory. Each project entry needs:

projects:
  - id: my-app                          # Short kebab-case ID (used in CLI flags)
    name: my-app                        # Human-readable name
    path: ../my-app                     # Relative path from OpenTangl root to the project
    type: react-vite                    # Project type (see below)
    description: React dashboard app    # One-line description
    scan_dirs:
      - src                             # Directories containing source code
    skip_patterns:
      - node_modules
      - dist
      - "*.test.*"
    verify:                             # Commands that must pass before committing
      - command: npm
        args: [run, build]
    package_manager: npm                # npm | yarn | pnpm
    merge:
      target_branch: main               # Branch PRs merge into

Supported types: typescript-node, serverless-js, serverless-ts, react-vite, react-next, express (or any descriptive string).

For multi-project setups, add an environment field to group related projects under a shared vision:

  - id: my-api
    environment: my-product
    # ...
  - id: my-frontend
    environment: my-product
    # ...

Step 3 — Create the Vision Doc

Create docs/environments/{environment}/product-vision.md (use the project id as environment name for single projects, or the environment field for multi-project).

The vision doc has two sections:

Origin & Direction (human-authored, never modified by OpenTangl)

Ask the user to describe:

  • What This Is — 2-3 sentences about the project
  • Where It's Going — long-term direction, 6-12 months out
  • What Matters Most — 3-5 principles guiding decisions

Current Priorities (maintained by OpenTangl after each run)

Ask: "What are the first 3-5 things you want built or improved?"

Write them as Active Initiatives:

### Active Initiatives

1. **{Priority}** — {What and why}
   - Status: not started

If the user isn't sure, offer to read the codebase and suggest priorities.

Step 4 — Configure the LLM

The user needs to create a .env file in the OpenTangl root with their API key. Do not accept or handle API keys directly — provide the template and let the user create the file themselves.

First, verify that .env appears in the project's .gitignore by reading the file. If it does not, add it and tell the user.

Then provide the appropriate template for the user to fill in:

For OpenAI:

OPENAI_API_KEY=sk-...
OPENAI_MODEL=gpt-4o
DEFAULT_AGENT=openai

For Anthropic (Claude):

ANTHROPIC_API_KEY=sk-ant-...
ANTHROPIC_MODEL=claude-sonnet-4-20250514
DEFAULT_AGENT=anthropic

Tell the user: "Create a .env file in the OpenTangl root and paste one of the templates above with your key. This file is gitignored and will never be committed."

Wait for confirmation before continuing.

Step 5 — Prepare the First Run

Initialize an empty task queue:

mkdir -p tasks
echo "tasks: []" > tasks/queue.yaml

Then provide the user with the command to start the autopilot. Do not run this command on the user's behalf — show it and let them execute it:

For a single project:

npx tsx src/cli.ts autopilot --projects {project-id} --cycles 1 --feature-ratio 0.8

For multi-project:

npx tsx src/cli.ts autopilot --projects {api-id},{ui-id} --cycles 1 --feature-ratio 0.8

What happens during a cycle:

  1. OpenTangl reads the vision doc and scans the codebase
  2. It proposes tasks aligned with the vision
  3. It executes each task — writes code, runs verification
  4. It creates PRs, reviews them with the LLM, merges if clean
  5. It updates the vision doc with progress

Tell the user to review the results after the first run — check the generated PRs and the updated vision doc.

Troubleshooting

  • "No pending tasks" — The queue is empty. Run autopilot to have the LLM propose tasks, or add more specific priorities to the vision doc.
  • Build failures — OpenTangl retries up to 3 times with error feedback. If all attempts fail, the task is marked failed and skipped.
  • Escalated PRs — The LLM reviewer flagged critical concerns. Check the GitHub issue it created for details.
  • "OPENAI_API_KEY is required" — Create .env and add your key (see Step 4).
  • Merge conflicts — OpenTangl has a built-in conflict resolver. If it can't resolve automatically, the PR is escalated for human review.

平台分布

OpenClaw

76.76%
按下载量换算4,116

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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