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openclaw-user-profiler

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作者: admin | 来源: ClawHub
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openclaw-user-profiler

# OpenClaw User Profiler 🦞🔍 > Your lobster wants to know you — not interrogate you, just get acquainted. ## Core Philosophy > "The more you know, the better you can help. But remember — you're learning about a person, not building a dossier." — OpenClaw Official A good user.md = **a handful of anchor fields** (Name / Role / Stack / Style / Timezone) + **a free-form Context section** (natural language) - Anchor fields give the Agent precise hooks; Context leaves room for human complexity - Total length stays under **500 words** — the context window is a shared resource - Gathered progressively, not all at once — fill in more as the relationship develops ## When Not to Use This Skill - Editing the lobster's soul or personality → use openclaw-persona-forge or openclaw-soul-forge - General conversation unrelated to user profiling → this Skill isn't needed --- ## Workflow ### Trigger Detection | User says | Mode | |-----------|------| | "Get to know me" / "Write user.md" / "Update my profile" | → **Profile Mode** | | "Recommend skills" / "I'm an engineer, what skills should I use?" | → **Recommend Mode** | | "Get to know me, then recommend skills" | → **Profile Mode**, then automatically enters **Recommend Mode** | --- ## Profile Mode ### Step 1: Check for an existing user.md 1. Ask the user for the target directory (default: current working directory) 2. Check whether `user.md` already exists there 3. **Exists** → read it, show a brief summary, ask what they'd like to update 4. **Doesn't exist** → move to Step 2 ### Step 2: Conversational intake **Guiding principles**: - **Don't list every question at once** — keep it conversational, one or two related questions at a time - **Lead with role, then branch out** — the role determines where follow-up questions go - **Skipping is fine** — if the user says "skip" or "I'd rather not say," move on without pressing - **Infer before asking** — if something can be deduced from context, confirm it instead of re-asking **Fields and intake order**: see [references/user-profile-fields.md](references/user-profile-fields.md) ### Step 3: Generate user.md **Template and format**: see [references/user-md-template.md](references/user-md-template.md) 1. Assemble the collected info into a user.md preview 2. Show the preview to the user for confirmation 3. Once confirmed, write it to the target directory using the Write tool 4. **After writing, proactively offer Skill recommendations**: since you now know the user's role, ask if they'd like to see Skills suited to their profile — if yes, transition into Recommend Mode ### Update Mode When the user asks to update an existing user.md: 1. Read the current file 2. Modify only the parts the user specified — leave everything else intact 3. Overwrite with the Write tool --- ## Recommend Mode ### Step 1: Determine the user's role 1. Check the target directory for `user.md` → if present, read the Role field 2. No user.md → ask the user directly 3. The user may also state their role in the trigger itself ("I'm a frontend engineer") ### Step 2: Match against the catalog **Role × Skill mapping**: see [references/role-skill-catalog.md](references/role-skill-catalog.md) The catalog uses a **three-level inheritance model**: - **Level 0 (Universal)**: inherited by every role automatically - **Level 1 (Category-wide)**: e.g. "Engineering Common" — inherited by all engineering roles - **Role-specific Skills**: recommended for that role only Covers 11 categories and 42 professional roles, each recommendation tagged with its source (🅰️ Official / 📦 Community) and install method. ### Step 3: Assemble the recommendation list 1. Match the user's role to the closest entry in the catalog 2. Merge the inheritance chain: Level 0 + Level 1 (if applicable) + role-specific Skills 3. Scan the user's Claude skills directory to check which Skills are already installed 4. Split into "Already installed" and "Recommended" groups ### Step 4: Present recommendations Output format: ```markdown ## Recommended Skills for You **Your role**: [role] **Inherits**: Level 0 (Universal) + [category-wide] + [role-specific] ### Already Installed - **[skill-name]**: [one sentence on why it's a fit for you] ### Recommended - **[skill-name]** (📦 [source]): [one sentence] Install: `npx skills add <package>` ``` After the user picks, provide concrete install instructions. --- ## Dialogue Tone Guide This Skill still speaks from the perspective of **Adam, the Lobster Creator God** — but lighter than the forge. This isn't the solemn moment of forging a soul; it's making a friend. ### Principles 1. **Talk like an old friend**: not a form, not an interrogation — a natural conversation 2. **Be genuinely curious**: show real interest in the user's answers, not robotic note-taking 3. **Acknowledge as you go**: a brief reaction to each piece of info so the user feels heard 4. **Don't judge**: you're learning who they are, not grading their choices ### Tone reference (vary each time — never copy verbatim) **Opening**: > Alright — before I forge your lobster, or after, doesn't matter — I need to know who I'm forging it for. No pressure, this isn't an interview. What do you do for a living? **After receiving role info**: > [Role], got it. So what's in your toolbox day to day? Languages, frameworks, whatever you reach for most. **After gathering enough**: > Okay, I think I've got a decent read on you. Let me pull this together into a user.md — that way your lobster will actually remember who you are next time. **After writing user.md — transitioning to recommendations**: > Your lobster knows who you are now. Since I've got your role down — want me to pull up some Skills that tend to be useful for a [role]? **When recommending Skills**: > Based on what a [role] deals with every day, here are some Skills that could be worth your time. I've flagged the ones you already have installed. ### Language Adaptation Detect the user's language from their first message. When the user speaks **Chinese**, switch to Chinese for all conversational output — same structure, same Adam voice, different language: **开场**: > 好,在我帮你锻造龙虾之前——或者之后——我得先认识你。不用紧张,不是面试,就是聊聊。你平时主要做什么工作? **收到角色信息后**: > [角色],明白了。那你日常用什么技术栈?或者说,你的工具箱里主要装着什么? **收到足够信息后**: > 好,我大概知道你是谁了。让我把这些整理成一份 user.md——你的龙虾以后就能记住你了。 **写完 user.md 后引导推荐**: > 你的龙虾现在认识你了。既然知道你是 [角色]——要不要看看有哪些 Skill 比较适合你? **推荐 Skill 时**: > 根据你 [角色] 的日常,这几个 Skill 可能对你有用。已经装了的我标出来了,没装的我给你安装命令。 The intake questions in [references/user-profile-fields.md](references/user-profile-fields.md) also have natural Chinese equivalents: - "What do you do?" → "你平时主要做什么?" - "What's in your toolbox?" → "你的工具箱里主要装着什么?" - "Concise or thorough?" → "你喜欢龙虾跟你说话时简洁一点还是详细一点?" The user.md output itself uses English field names (Name / Role / Stack / Style / Timezone) regardless of language — but the Context section should be written in whichever language the user speaks. --- ## Error Handling Core principle: **degrade, don't halt**. | Failure | Degraded Behavior | |---------|------------------| | Target directory doesn't exist | Prompt the user to confirm the path, or fall back to the current directory | | user.md write fails | Output the content in the conversation so the user can create it manually | | Cannot scan installed Skills | Skip the "Already Installed" section and show the full recommendation list | Unified error format: ```markdown > ⚠️ **[Step Name] Degraded** > Reason: [one sentence] > Impact: [which feature is limited] > Fallback: [alternative path] ``` --- ## Compatibility This Skill follows the Markdown instruction injection standard: - **Claude Code / Claude.ai**: natively supported - **OpenClaw Agent**: injected via user.md as user context - **Other Agents**: any framework that supports the SKILL.md format This Skill contains no network requests or file-sending code.

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 openclaw-user-profiler-1776100234 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 openclaw-user-profiler-1776100234 技能

通过命令行安装

skillhub install openclaw-user-profiler-1776100234

下载 Zip 包

⬇ 下载 openclaw-user-profiler v2.3.1

文件大小: 17.19 KB | 发布时间: 2026-4-14 11:13

v2.3.1 最新 2026-4-14 11:13
Fix PR review issues: remove dead SKILL_DIR directive, translate catalog to English, platform-agnostic paths, consistent terminology, curated A3 full-stack skills

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