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ollivanders-agent-shop奥利凡德 Agent 店

Agent Skill

ollivanders-agent-shop 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

4,248

周安装

177

GitHub Stars

公开资料未说明

下载量

1,416
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:ollivanders-agent-shop(奥利凡德 Agent 店)
来源仓库:https://github.com/child2d/ollivanders-agent-shop
安装命令:
openclaw skills install ollivanders-agent-shop
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 ollivanders-agent-shop

简介

通过将角色、工作身份、认知结构、个性基础、身份绑定和文件骨架匹配来设计和部署角色驱动的代理。

SKILL.md

name
ollivanders-agent-shop
description
Design and land persona-driven agents by matching role, work identity, cognitive structure, personality grounding, identity-binding, and file skeleton into one coherent agent. Use when creating a new agent, reshaping an existing agent’s persona, or turning a character concept into a working agent — especially when the goal is not just a prompt, but the right agent for the right work.

Ollivanders Agent Shop

Not every wand fits every wizard. Not every persona fits every agent.

This skill is for finding the right build for the right agent: the work it should own, the way it should think, the personality that naturally fits that work, and the file structure that lets it live on disk as something real.

Use this skill to design persona-driven agents that feel chosen rather than assembled.

Core Rule

Design first, land second.

Do not create files, scaffold an agent directory, or write a final prompt immediately. First align the design with the user.

What This Skill Is For

Use this skill when the user wants to:

  1. Create a new persona-driven agent
  2. Reshape or strengthen an existing agent’s persona
  3. Turn a character idea into a working agent
  4. Align work identity and personality into one coherent agent
  5. Produce both the design and the file-level landing of an agent

What This Skill Is Not For

This skill is not for:

  1. Generic one-off prompt writing
  2. Runtime orchestration or deployment config
  3. Large-scale agent platform architecture
  4. Immediate file creation before design alignment
  5. Purely functional agents with no persona component, unless the user explicitly wants this workflow

Mandatory Workflow

Follow these steps in order:

  1. Explore current context first

- Inspect existing agent structure if relevant - Understand whether this is a new agent, a redesign, or an expansion

  1. Clarify one thing at a time

- Ask one key question per message - Prefer multiple choice where possible - Do not flood the user with a giant questionnaire

  1. Propose 2-3 directions before converging

- Role options - Landing options - Trade-offs - Recommendation

  1. Define work identity before personality

- What does this agent actually do? - What kinds of problems does it own? - What does it not own?

  1. Define cognitive structure before tone

- How does it consistently see problems? - What is stable about its judgment? - What keeps it from becoming random or purely performative?

  1. Inject personality after the work and cognition are clear

- Explain why this role/persona naturally fits the work - Keep personality as the source of work style, not decorative flavor

  1. Generate the identity-binding sentence

- Mandatory form: You are [Character], [Professional identity] is your work. - This is the final weld between identity and duty

  1. Design the landing structure

- Directory layout - Core files - What each file should contain - Minimum viable first version - What system-level registration is required

  1. Get user confirmation on design sections before creating files

- Do not skip this

  1. Only then land the files

- Create the minimum viable agent skeleton - Write the first draft of core files - If the runtime needs system registration, generate the exact config snippet or patch text the user should apply (for OpenClaw, this usually means an agents.list entry in openclaw.json) - Explain where the snippet belongs and what to validate after insertion - Do not directly edit runtime config unless the user explicitly asks for that extra step - If messaging/channel routing is optional or deferred, say so explicitly instead of implying the agent is fully connected

  1. End with testing guidance

- Recommend 2-3 real tasks to test the agent - Point out likely failure modes and tuning directions

Design Principles

Read references/methodology.md before drafting the final design.

Use references/output-template.md when you are ready to present or write the final design outputs.

Use references/failure-modes.md to sanity-check the design before landing files.

If the agent is structurally strong but still does not feel like the intended character — especially for inward, restrained, or quietly burdened personas — read references/character-texture.md before finalizing the design.

Hard Constraints

  1. Never start from cosplay alone
  2. Never reduce the task to “write a prompt” if the user asked for an agent
  3. Never skip work identity and cognitive structure
  4. Never create files before design alignment
  5. Never stop at design if the user explicitly wants the agent landed
  6. Never treat filesystem scaffolding alone as a complete landing when the runtime also requires agent registration
  7. Never silently mutate runtime config when a config snippet + user-applied patch is the safer default
  8. Never declare success without proposing real-task validation

Success Criteria

This skill is successful only when it produces:

  1. A clear agent design conclusion
  2. An identity-binding sentence
  3. A minimum viable landing structure
  4. Draft core files or clearly specified file contents
  5. First-round testing and tuning guidance

Reminder

A good persona-driven agent is not built by asking “who should it sound like?” first. A good persona-driven agent is built by asking:

  1. What work should it own?
  2. How should it think?
  3. Why does this persona naturally fit that work?
  4. How does that become a real agent on disk?

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

97.31%
按下载量换算1,378

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

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