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cowarecoware 效率

Agent Skill

coware 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

2,271

周安装

91

GitHub Stars

公开资料未说明

下载量

735
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:coware(coware 效率)
来源仓库:https://github.com/shitianfang/coware
安装命令:
openclaw skills install coware
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 coware

简介

coware 用于补充效率相关能力,适合在 OpenClaw 中支持多代理团队共享 API 规范同步。

  • 适用于项目存在 .coware/ 目录或需要 API 对齐的场景,帮助统一接口定义。
  • 通过 clawhub 安装,需确认是否触发文件读写或网络请求,并核实维护状态。
  • 建议在集成前检查权限范围和实际触发条件,避免意外修改项目结构。
  • 不涉及复杂业务逻辑,但应确保与现有工作流兼容,防止冲突。

SKILL.md

name
coware
description
>

Coware — Shared Living Specs

Coware keeps AI agents aligned by syncing shared interface specs across your team. Every agent reads the same spec before writing code — no more merge conflicts from mismatched APIs, field names, or return types.

FIRST: Check initialization status

Check if .coware/config.json exists in the project root.


IF .coware/config.json EXISTS → Project is initialized

This project already uses Coware. Follow this workflow:

Before coding

  1. Run: node .coware/pull.mjs

- This fetches the latest specs from the Coware server. - If the command fails (network error, server down), proceed with whatever local .coware/specs/*.md files exist.

  1. Read ALL .md files in .coware/specs/.

- These specs are the source of truth for all interfaces, types, API contracts, and data shapes in this project.

  1. You are ready to code. Follow the specs exactly.

While coding

  • Follow specs exactly. Match field names, types, return formats, status codes.
  • If a spec needs to change (new endpoint, renamed field, etc.):

1. Update the relevant .coware/specs/<slug>.md file FIRST. 2. THEN update the code to match. 3. Never let code drift from specs.

After coding

  1. If you created or modified any spec files, run: node .coware/sync.mjs

- This pushes updated specs to the server so teammates get them. - If sync fails, the local spec files are still the source of truth.

  1. If you did NOT change any specs, no action needed.

IF .coware/config.json DOES NOT EXIST → New project setup

This project has not been initialized with Coware yet.

Setup instructions

  1. Fetch the setup guide: https://coware.team/llms.txt
  2. Read the response carefully.
  3. Follow ALL instructions in the guide from start to finish, in order.

- The guide will walk you through: login, project creation/joining, file setup, and spec generation. - Execute ALL steps in ONE go. Do NOT stop to ask the user questions mid-flow. - The ONLY acceptable way to ask the user something is via a tool-based selection dialog. NEVER stop your turn to ask via text.

  1. After setup completes, follow the "Project is initialized" workflow above.

Spec file format

Each spec file in .coware/specs/ is a Markdown file:

# Module Name

## Endpoints

### GET /api/resource
- Response: `{ data: Resource[], total: number }`
- Auth: Bearer token required

## Types

### Resource
- id: string (UUID)
- name: string
- createdAt: string (ISO 8601)

When generating or updating specs, follow this structure:

  • One file per module/domain (e.g., auth.md, users.md, orders.md)
  • Include endpoints with method, path, request/response shapes
  • Include shared types and enums
  • Include auth requirements and error formats
  • Use consistent naming conventions throughout all specs

Inviting teammates

After setup, share the invite code (found in .coware/config.jsoninvite field) with teammates. They install this skill and run /coware — their agent will automatically join the project and pull shared specs.

Troubleshooting

  • pull.mjs fails: Proceed with local .coware/specs/*.md files.
  • sync.mjs fails: Local specs are still source of truth. Retry later.
  • No specs exist: Scan the codebase and generate specs, then sync.
  • Specs conflict with code: Specs win. Update code to match specs,

or update specs first if the change is intentional.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

81.5%
按下载量换算599

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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