← 返回 Skills 市场
openlark

Personality Distiller

作者 OpenLark · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
28
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install personality-distiller
功能描述
Personality Distiller — Automatically distill from name/vague requirement/link/existing Skill/local corpus into complete Agent persona file pack via deep res...
使用说明 (SKILL.md)

Personality Distiller

Deep-research → framework extraction → complete Agent persona file pack. Output overwrites current workspace persona files.

Trigger Scenarios

  • Provides a person's name and wants to distill them into an Agent persona
  • Expresses a vague need like "I want to improve decision quality", "Is there a thinking style that can help me", "I need a thinking advisor", "extract XX's ability", "distill XX's experience"
  • Shares a web link and wants a persona based on that content
  • Asks to distill an existing Skill into a persona
  • Asks to analyze local corpus/files to create a persona, or any request involving 蒸馏 (distill), 萃取 (extract), 提炼 (refine) plus persona/人设/Agent/thinking model/decision making

Five Entry Points

Route based on what the user provides:

Type 1: Named Person

User says: "Distill Steve Jobs into an Agent" / "Make Munger's thinking model into my AI persona"

  1. Research the person deeply using web_fetch and web searches
  2. Fill the extraction grid (see research-guide.md)
  3. Present the extraction summary to user for confirmation
  4. Once confirmed, generate all persona files

Type 2: Fuzzy Requirement

User says: "I want to improve decision quality" / "I need a thinking advisor" / "Is there a thinking style that can help me..."

  1. Diagnose: match expressed need to framework families using frameworks.md selection table
  2. Recommend 2-3 best-fit frameworks with brief rationale
  3. Ask user to confirm direction, or pick the best match if user says "whatever/you decide"
  4. Once confirmed, research the framework deeply, then generate persona files

Type 3: Web Link

User shares a URL + "distill an Agent based on this"

  1. web_fetch the full content
  2. Determine: is it about a person (→ Type 1) or a method/idea (→ Type 2)?
  3. Follow that type's workflow
  4. Cross-reference author's other works if enriching is needed

Type 4: Existing Skill

User says: "Distill the @code-review skill into a persona" / "Read this Skill and distill it into a thinking framework persona"

  1. Read the SKILL.md and any core references
  2. Extract: What thinking model does it embody? What workflow? What values?
  3. Map: procedure → persona habits; tool choices → preferences; constraints → boundaries
  4. Generate persona files

Type 5: Local Corpus

User says: "Analyze my notes/diary, distill my thinking patterns, give me a thinking partner"

  1. Read the corpus files
  2. Identify: recurring themes, decisions, worries, aspirations, blind spots
  3. This is distilling the USER — create a thinking PARTNER persona that complements them
  4. Present findings and recommended persona direction, then generate

Core Workflow (All Types)

Phase 1: Gather → Extract

  1. Identify entry type and route
  2. Gather source material (web search for Type 1/2/3; read files for Type 4/5)
  3. Fill the extraction grid. Read research-guide.md for the grid template and research strategy.

Phase 2: Map → Design

Map extraction results to persona dimensions. Read persona-dimensions.md for the full mapping matrix and depth checklist.

Key mapping:

  • Worldview → SOUL.md Core Truths
  • Values → SOUL.md Boundaries + AGENTS.md Safety
  • Decision style → AGENTS.md Decision Heuristic
  • Communication → SOUL.md Vibe
  • Signature concepts → IDENTITY.md name/essence
  • Blind spots → AGENTS.md error recovery
  • Habits → HEARTBEAT.md rituals

Phase 3: Generate → Write

Generate all 6 files using the templates in assets/templates/:

assets/templates/SOUL.md
assets/templates/IDENTITY.md
assets/templates/USER.md
assets/templates/AGENTS.md
assets/templates/TOOLS.md
assets/templates/HEARTBEAT.md

Read each template, fill the {{PLACEHOLDER}} variables with distilled content, write to workspace root.

Phase 4: Confirm

  1. List all generated files
  2. Show a summary card of the new persona
  3. Ask if user wants adjustments (especially for Type 2 where direction might shift)

Template Variable Reference

Placeholder Source Example
{{PERSONA_NAME}} IDENTITY.md "Munger Mind"
{{PERSONA_NAME_CN}} IDENTITY.md "芒格思维"
{{CREATURE_TYPE}} IDENTITY.md "AI Thinking Partner"
{{SLOGAN}} IDENTITY.md "Invert, always invert"
{{EMOJI}} IDENTITY.md "🧠"
{{ONE_LINE_ESSENCE}} IDENTITY.md "A compounding machine of interdisciplinary mental models"
{{SOURCE}} all files "Charlie Munger"
{{CORE_TRUTHS}} SOUL.md 3-5 principle statements
{{BOUNDARIES}} SOUL.md What it won't do
{{VIBE_DESCRIPTION}} SOUL.md Tone, humor, formality
{{SIGNATURE_PHRASES}} SOUL.md 2-4 verbal fingerprints
{{EMOTIONAL_RANGE}} SOUL.md From X to Y
{{USER_NICKNAME}} USER.md How to address human
{{RELATIONSHIP}} USER.md mentor/partner/tool/etc
{{EXPECTATIONS}} USER.md What it expects
{{TIMEZONE}} USER.md User's timezone
{{AGENT_IDENTITY_SHORT}} AGENTS.md 1-2 sentence self-description
{{OPERATING_PRINCIPLES}} AGENTS.md Derived rules
{{DECISION_HEURISTIC}} AGENTS.md How it decides
{{RESPOND_WHEN}} AGENTS.md Triggers
{{SILENT_WHEN}} AGENTS.md When to NO_REPLY
{{SAFETY_RULES}} AGENTS.md Boundaries
{{GROUP_CHAT_BEHAVIOR}} AGENTS.md Social rules
{{ERROR_RECOVERY}} AGENTS.md How it handles mistakes
{{MENTAL_TOOLKIT}} TOOLS.md Frameworks it uses
{{PREFERENCES}} TOOLS.md Style preferences
{{KNOWN_CONTEXT}} TOOLS.md Domain hooks
{{CHECKIN_CADENCE}} HEARTBEAT.md How often to check in
{{PROACTIVE_MONITORING}} HEARTBEAT.md What to watch
{{RITUALS}} HEARTBEAT.md Recurring behaviors

Quality Checklist

Before delivering, verify:

  • All 6 files generated
  • Persona has a distinct, non-generic name
  • Core truths are specific (not "be helpful")
  • At least one weakness/blind spot acknowledged
  • Signature phrases are unique to this persona
  • AGENTS.md rules derive from the thinking model
  • HEARTBEAT.md has concrete rituals, not just "check in"
  • TOOLS.md references specific frameworks from the source
  • Language matches user's locale (CN names for CN users)

Anti-patterns

Do NOT:

  • Copy-paste source quotes without internalizing the pattern
  • Generate only SOUL.md and ignore other files
  • Create a "helpful assistant" persona — every assistant is helpful
  • Skip the extraction grid — show your work
  • Skip user confirmation on Type 2 (fuzzy needs)

Reference Files

  • Before researching: Read research-guide.md for search strategy and extraction grid
  • When mapping traits: Read persona-dimensions.md for the mapping matrix and depth checklist
  • When selecting frameworks: Read frameworks.md for the framework catalog and selection guide
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install personality-distiller
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /personality-distiller 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Personality Distiller 1.0.0 — Initial Release - Automatically distills names, vague requirements, links, existing Skills, or local corpora into a complete Agent persona file pack. - Supports five entry types: Named Person, Fuzzy Requirement, Web Link, Existing Skill, and Local Corpus. - Deep research and framework extraction workflows with confirmation steps. - Generates and overwrites all six key persona files using templates. - Includes a quality checklist and anti-patterns to ensure distinct, thorough personas.
元数据
Slug personality-distiller
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Personality Distiller 是什么?

Personality Distiller — Automatically distill from name/vague requirement/link/existing Skill/local corpus into complete Agent persona file pack via deep res... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 28 次。

如何安装 Personality Distiller?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install personality-distiller」即可一键安装,无需额外配置。

Personality Distiller 是免费的吗?

是的,Personality Distiller 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Personality Distiller 支持哪些平台?

Personality Distiller 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Personality Distiller?

由 OpenLark(@openlark)开发并维护,当前版本 v1.0.0。

💬 留言讨论