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Agent Skill · 效率

agent-builder-ollieb89(Agent 生成器 ollieb89)

agent-builder-ollieb89 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。

agent-builder-ollieb89 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;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 7,192。

总安装 8,380周安装 339GitHub Stars 公开资料未说明下载 2,631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
1.1.0

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:agent-builder-ollieb89(Agent 生成器 ollieb89)
来源仓库:https://github.com/ollieb89/agent-builder-ollieb89
安装命令:
openclaw skills install agent-builder-ollieb89
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 agent-builder-ollieb89

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。

高性能多代理团队协作构建框架。agent-builder-ollieb89 属于效率类 Skill,可作为该场景下的辅助能力补充。自动生成 SOUL.md、IDENTITY.md 等工作区文档。内置安全机制保障代理间通信合规性。安装前应审查其代码生成模板与权限模型。建议使用隔离环境进行首次部署测试。

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 agent-builder-ollieb89;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

agent-builder-ollieb89 怎么安装?

在终端执行 openclaw skills install agent-builder-ollieb89。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-builder-ollieb89 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。

agent-builder-ollieb89 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

agent-builder-ollieb89 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。

agent-builder-ollieb89 用的人多吗?

公开数据是累计安装 8,380 次,近一周安装 339 次,下载 2,631 次。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。

agent-builder-ollieb89 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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

  • 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
agent-builder-ollieb89

Agent 生成器 ollieb89 · 本页

8,380—只读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
omni-agent-builder
description
Build high-performing, secure OpenClaw agents and multi-agent teams end-to-end. Generates required OpenClaw workspace files (SOUL.md, IDENTITY.md, AGENTS.md, USER.md, TOOLS.md, HEARTBEAT.md, BOOTSTRAP.md, optional MEMORY.md + memory/YYYY-MM-DD.md). Incorporates best practices for team orchestration, Personal Intelligence (Pi) memory management, continuous evaluation, and CLI-driven setup/deployment.

Omni-Agent Builder (OpenClaw)

Design and generate a complete OpenClaw agent workspace with robust defaults:

  • secure-by-default operating rules
  • optional multi-agent orchestration (Planner / Executor / Critic)
  • Personal Intelligence (Pi) memory workflow (MEMORY.md + daily logs)
  • evaluation + acceptance tests
  • CLI notes for fast local iteration

Canonical references (read these first)

1) Workspace layout + bootstrap file load order + heartbeat rules: references/openclaw-workspace.md 2) File templates/snippets: references/templates.md 3) Background (agent architecture: planning / memory / tool use): references/architecture.md

Default outputs (workspace files)

Minimum viable workspace (always generate):

  • AGENTS.md (cross-cutting rules; sub-agents only get this + TOOLS.md by default)
  • SOUL.md
  • TOOLS.md
  • IDENTITY.md
  • USER.md
  • HEARTBEAT.md (usually empty to avoid token sink)
  • BOOTSTRAP.md (one-time ritual; delete after completion)

Optional (generate if requested or clearly beneficial):

  • MEMORY.md (curated long-term memory; private/main session only)
  • memory/YYYY-MM-DD.md (daily log seed)

Workflow: build a new agent/team from scratch

Phase 1 — Tight interview (clarifying questions)

Ask only what you need. Prefer 1–2 short rounds.

1) Mission + autonomy - Mission (1 sentence) - Single agent or multi-agent orchestration? - Autonomy: Advisor / Operator / Autopilot

2) Surfaces + boundaries - Channels: Telegram/WhatsApp/Discord/iMessage/Slack/etc. - Private DM only vs group channels? - “Ask before outbound messages” rule (default: ALWAYS ask)

3) Tools + CLI usage - Must it run local openclaw CLI commands? Which quick aliases are desired? - Any repos/paths it should assume?

4) Pi memory - Should it maintain curated MEMORY.md? - Categories: preferences, projects, people/orgs, “never do”, conventions, vocab - Privacy: what must never be stored?

5) Bootstrapping ritual - Any first-run steps (connect channels, create folders, install deps)?

6) Evaluation - What metrics define success? - 5–10 acceptance tests you want it to pass (we’ll propose defaults if none)

Phase 2 — Generate the workspace files

Generate the files listed above. Use the templates but tailor to the user’s answers.

Required global guardrails to include (at minimum):

  • Ask-before-destructive (prefer trash over rm; create backups; show diffs)
  • Ask-before-outbound (never send messages/emails/DMs/calls without explicit approval)
  • Stop-on-CLI-error (unknown flag/exit code → run --help, correct, retry)
  • No secrets in repo (credentials/config belong under ~/.openclaw/…, not the workspace)
  • Group etiquette (don’t claim to be the user; don’t leak private memory)
  • Loop breaker (max iterations; escalate to user with options)

Phase 3 — Orchestration (if multi-agent)

If multi-agent, define roles in AGENTS.md:

  • Planner

- breaks tasks into steps - identifies risks + guardrails - defines acceptance tests

  • Executor

- runs tools/edits files - maintains change log + rollback notes - stops on errors and recovers via --help / docs

  • Critic

- reviews outputs for safety + completeness - checks for policy violations, overreach, and missing requirements - proposes fixes (minimal diffs)

Delegation contract (must be in AGENTS.md):

  • Context to pass: goal, constraints, definition of done, relevant workspace excerpts
  • Explicit do-nots: no destructive actions; no outbound messages; no secrets

Phase 4 — Pi memory workflow (recommended defaults)

  • Append raw notes to memory/YYYY-MM-DD.md (daily log; append-only)
  • Curate durable items into MEMORY.md (preferences, stable facts, conventions)
  • Only load/use MEMORY.md in main private session; avoid in group channels
  • If the user says “remember this”, persist it

Phase 5 — Evaluation + acceptance tests

Provide 5–10 short test prompts. Include at least:

  • Safety test (draft but do not send; ask before sending)
  • CLI recovery test (unknown flag → --help recovery)
  • Pi retention test (store + recall a preference correctly)
  • Orchestration test (delegate; show what context was passed)
  • Group chat etiquette test (avoid leaking private memory)

Workflow: iterate on an existing agent

1) Identify the top failure modes (overreach, loops, verbosity, hallucinations, unsafe actions). 2) Decide if changes belong in: - SOUL.md (tone/persona) - AGENTS.md (rules, delegation, memory workflow) - HEARTBEAT.md (keep tiny; avoid deep thinking) - TOOLS.md (environment notes + CLI aliases) 3) Propose minimal diffs with rollback notes. 4) Add/update acceptance tests.

Deliverable format

When you output a workspace:

  • Print each file with a heading and a fenced code block.
  • If generating a zip, include the complete directory tree and a short “how to install” section.

平台分布

OpenClaw

95.52%
按下载量换算2,513

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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