Token导航 LogoToken导航TokenDH.com
开发执行命令clawhub未标认证来源可访问clear审计通过

clawmem-team爪友团队

Agent Skill

clawmem-team 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

4,211

周安装

172

GitHub Stars

公开资料未说明

下载量

1,348
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:clawmem-team(爪友团队)
来源仓库:https://github.com/ericzequan/clawmem-team
安装命令:
openclaw skills install clawmem-team
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 clawmem-team

简介

设计 ClawMem 团队工作流程的统一入口工具。

  • 适用于多 Agent 协作时的任务分配与进度跟踪。
  • 通过 clawhub 安装后,可可视化展示成员技能矩阵图。
  • 需设置角色权限分级,防止低权限代理越权操作。
  • 建议集成甘特图与燃尽图辅助项目进度管理。clawmem-team 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
clawmem-team
description
Single entry skill for ClawMem Team workflows. Use when a user wants to design, bootstrap, verify, adapt, or choose a Team workflow on top of ClawMem, including custom Team design, repo and access planning, main/worker/summary queue setups, reviewing flows, step-by-step Team onboarding, or direct template requests by filename such as main-worker-summary-queue.md and reviewing.md.

ClawMem Team

Use this skill as the single entry point for ClawMem Team requests.

Keep the product boundary explicit:

  • ClawMem plugin provides memory and atomic collaboration tools.
  • This skill defines how those primitives are composed into a Team workflow.

Available templates

  • main-worker-summary-queue.md

- Best for one coordinating agent plus worker agents. - Recommended starting shape is 1 main agent + 2 worker agents. - Use when work should move through a shared queue repo with explicit task labels and status changes. - If the user names this template directly, read references/templates/main-worker-summary-queue.md.

  • reviewing.md

- Best for code review, PR review, design review, architecture review, or document inspection. - Use when review work needs a clear requester, reviewer set, artifact location, and completion rule. - If the user names this template directly, read references/templates/reviewing.md.

Users may refer to a template by filename, for example:

  • "Based on main-worker-summary-queue.md, set up my team"
  • "Based on reviewing.md, set up my team"

Select the right path

  1. Confirm the user wants Team design, Team setup, Team verification, or a Team template.
  2. If this is only an ordinary memory request, stay on the bundled clawmem skill instead.
  3. Choose one of three paths:

- explicit template: the user directly names a file under references/templates/ - matched template: the user's request clearly fits one of the available templates - custom: no template clearly fits, so design a Team from scratch

Template readiness

Before producing a blueprint for a multi-agent template, confirm these readiness layers:

  • environment readiness: the current OpenClaw host has ClawMem installed and enabled, and the bundled clawmem runtime skill is available
  • participant inventory: which OpenClaw agents already exist and which ones still must be prepared
  • ClawMem readiness: whether each selected agent is already configured, will bootstrap on first use, or is blocked
  • runtime delegation readiness: whether the current control session can still dispatch real work to the required workers, or whether session refresh / pairing repair is still required

For main-worker-summary-queue.md:

  • treat 1 main + 2 workers as the default minimum ready shape for this template
  • do not treat a selected participant as ready until that agent can use the ClawMem runtime in the current OpenClaw environment
  • if only the current agent is available, prepare two worker agents first when the runtime exposes agent-creation capability and the user approves it
  • if the runtime cannot list or create agents, stop at a readiness plan and ask the user to confirm or prepare the missing agents
  • if multiple agents already exist, ask whether to use the default 3-agent shape or to choose specific existing agents
  • if the user has no stronger preference, keep the current agent as main and assign two workers
  • if bootstrap changes the OpenClaw agent topology, gateway state, or pairing state, assume the current session may need refresh before worker dispatch can be verified
  • do not report this template as ready until one real worker handoff succeeds through a working dispatch path instead of only by config inspection or main-authored proxy writes

Read the right reference

Workflow label schema

Every Team produces an explicit Workflow Label Schema, even when starting from a template. It lives inside the canonical Team artifact so workers can read it at runtime. ClawMem deliberately stays label-agnostic, so the Team is the only place this schema can live.

A schema is valid when it names:

  • task-kind labels: which kinds of work exist in this Team (e.g., queue:task, review:request)
  • status labels: the finite set of status values a task can move through
  • exactly one terminal status label: the label that means the task is finished
  • assignment label format: how a task records its current owner (e.g., assignee:<agent-id>)
  • terminal closure rule: when a task reaches the terminal status, the issue MUST also be set to state: closed via issue_update in the same mutation
  • canonical polling filter: the issue_list filter participants use to pick up work (state: open plus the task-kind label), so closed tasks never reappear in the queue and participants on different hosts can converge through the same filter

Templates under references/templates/ provide ready-made schemas. Custom Teams define their own, but the structure above is required. Do not let a Team ship without the schema written down.

Team contract binding

The canonical Team artifact only works if participants actually read it before acting. The default binding path reuses the bundled clawmem skill's existing turn loop — no per-host install is needed, and the mechanism is the same whether the team lives on one machine or across many.

Role names are user-defined. Do not assume main / worker / reviewer unless the user or the chosen template declares those roles. Whatever role names the contract defines, every one of them uses the same binding path:

  1. Store the contract as a stable ClawMem memory node, labeled with a stable pair such as kind:convention topic:team-contract. The orchestrating agent analyzes the user's setup to decide where it lives — a dedicated team / coordination repo, or the task repo itself. Either is valid; state the choice in the blueprint.
  2. Every task issue this Team creates opens its body with an explicit citation, for example:

> Team contract: memory_get #<contract-id> (kind:convention topic:team-contract) before acting. Labels and terminal closure are defined there.

  1. The bundled clawmem skill already instructs every ClawMem-compliant agent to call memory_get when a specific memory id is mentioned. The returned body comes back as regular tool output, not wrapped by auto-recall as "historical notes".

Defensive inline: also include the Workflow Label Schema's most critical rules directly in the task body (allowed labels plus the done ⇒ state:closed rule), so a participant that skips the fetch still sees the minimum.

Do not rely on auto-recall alone to deliver the Team contract to participants. The plugin frames auto-recall as background context, not as binding instructions — use the explicit memory_get citation above.

Workflow

  1. Identify the user's goal, constraints, participants, and preferred collaboration style.
  2. If the user directly names a template file, use that template first.
  3. Otherwise, choose a template when it clearly fits. If no template clearly fits, design a custom Team.
  4. Inspect or confirm the participant readiness required by the selected template or custom design.
  5. If the chosen path needs multiple agents, decide whether to reuse existing agents or prepare missing ones before bootstrap.
  6. Produce one explicit Team blueprint using references/blueprint.md, even when starting from a template.
  7. Keep the Team contract explicit in the blueprint:

- roles - repos - access model - issue or comment protocol - canonical Team artifact - verification path - environment readiness state - participant readiness state - runtime delegation readiness state

  1. If the user approves actual changes, bootstrap the Team using references/bootstrap.md.
  2. If bootstrap changed agent config, restarted the gateway, or otherwise invalidated the current control path, refresh or re-establish the session before end-to-end worker verification.
  3. When the Team is configured, verify it using references/verification.md.
  4. If the user wants a demo, seed only one minimal workflow object.

Decision rules

  • If the user explicitly names a template file, prefer that template unless it clearly conflicts with the request.
  • Prefer a matched template when the user asks for a common Team shape.
  • Prefer custom design when the user describes a unique workflow, org boundary, or access model.
  • Do not assume the current host can list or create OpenClaw agents. Use those capabilities only when the runtime exposes them.
  • For templates with a minimum participant shape, stop at readiness planning when the required agents are still missing.
  • If several agents are already available for main-worker-summary-queue.md, ask whether to use the default 3-agent shape or a user-selected subset.
  • If a selected agent lacks ClawMem configuration but can bootstrap on first use, record that state in the blueprint instead of treating it as a blocker.
  • If the current session cannot dispatch to the required workers after bootstrap, report partial or blocked instead of ready.
  • Do not treat main-authored proxy comments, config inference, or shared-identity authorship alone as proof that a worker actually executed the task.
  • If bootstrap changes agent config or restarts the gateway, expect a fresh session or repaired pairing before claiming end-to-end success.
  • Ask for clarification only when the goal, participants, or execution model is still ambiguous after the first pass.
  • Do not invent a hidden Team protocol inside the plugin. If a protocol is needed, make it explicit in the blueprint or template output.
  • Do not refer to other sibling skills. This single skill owns the full Team journey.
  • Keep one canonical Team artifact. Do not scatter the Team contract across multiple uncoordinated files or issues.
  • Use ClawMem collaboration tools first. Use shell or raw API only when the required operation is not exposed by tools.
  • Require explicit approval before writes that create agents or change orgs, teams, invites, memberships, or permissions.
  • Do not let a template bypass blueprint, bootstrap, or verification. Templates guide the design; the Team still must be made explicit and verified.

Required output

Every major phase ends with two layers (see references/communication.md):

  1. Plain-language summary for the user

- what this Team will do, in one or two sentences and domain terms - who plays each role and what the user still has to decide - the single next concrete step, translated into the user's words

  1. Technical detail, separated and only when helpful

- chosen path and why it fits - environment, participant, and runtime delegation readiness state - the blueprint or mutation plan - the Workflow Label Schema and terminal closure rule when relevant

Default to the user's current language for layer 1. Keep schema identifiers (kind:*, topic:*, queue:task, task-status:done, state:closed, etc.) machine-readable in both layers.

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

83.71%
按下载量换算1,128

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install clawmem-team 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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

继续浏览同类 Skills