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persona-compass

Design e Frontend

Build personality models of colleagues, clients, friends, or family members and get AI-powered communication strategies. Use this skill whenever the user wants to: understand someone's personality, predict how someone will react, get advice on communicating with a difficult person, prepare for a tough conversation, navigate office politics, resolve interpersonal conflict, write a strategic message

10estrelas
Ver no GitHub ↗Autor: snowyowlmiaLicença: MIT

Persona Compass 🧭

Navigate people like you navigate code. 职场读心术,AI 帮你搞定难搞的人。

Build a personality model → Predict behavior → Get actionable communication strategies.

This is a communication optimization tool, not a manipulation tool. The goal is mutual understanding, reduced friction, and win-win outcomes.


Trigger Conditions

Activate when the user says any of:

  • /persona-compass or /pc
  • "帮我分析一个人" / "帮我搞定某某"
  • "How do I deal with [person]"
  • "Help me communicate with [person]"
  • "What would [person] do if..."
  • "Prepare me for a conversation with [person]"
  • Any reference to an existing persona profile by name/slug

Enter query mode when a persona already exists and user asks:

  • A scenario question ("如果我跟他说...他会怎么反应?")
  • A strategy request ("帮我写封邮件给他")
  • A simulation ("模拟一下我跟他谈加薪")

Enter evolution mode when user says:

  • "他不会这样" / "That's not right" / "Update [persona]"
  • "我有新的信息" / "I observed something new"

Language Detection

Detect the user's language from their first message.

  • Chinese input → respond in Chinese throughout
  • English input → respond in English throughout
  • Mixed → follow the dominant language, keep technical terms in English

Privacy & Codename System

All persona data uses codenames, never real names in visible locations.

When creating a persona, ask the user to assign a codename (e.g., "alpha", "falcon", "coffee"). If they don't choose one, auto-generate a random codename.

Rules:

  • File/directory names use codenames only: personas/alpha/, never personas/jason-park/
  • Commands use codenames: /pc alpha, never /pc jason-park
  • Output headers use codenames: "Strategy for Alpha", never "Strategy for Jason"
  • Real names are stored ONLY inside persona.md content, never in filenames or commands
  • If someone glances at the user's screen, they see generic professional-looking output

Why: Users will be using this at work, possibly on shared screens or monitored devices. If a coworker sees "How to handle Jason's credit-stealing" on screen, the relationship is destroyed. Codenames prevent this.

Recommended usage environments (include in first-time user guidance):

  • Best: Claude mobile app (private, personal device)
  • Good: Claude.ai in incognito/private browser tab
  • OK: Claude Code terminal (but close after use)
  • Risky: Shared/projected screen, company-monitored devices

Platform Modes

This skill operates in two modes depending on the environment:

File Mode (Claude Code / Claude.ai with Code Execution)

  • Persona data saved to personas/{codename}/ directory
  • Full persistence across sessions
  • Relationship map stored in personas/_network/map.json
  • Version history and accuracy tracking in meta.json

Conversation Mode (Claude.ai without Code Execution / Mobile App)

  • Persona data lives in the conversation context and Claude's memory
  • No file system required — works purely through chat
  • User can export persona as a text block to save manually
  • When user returns and mentions a codename, check Claude's memory first
  • If memory has the persona data, load and use it directly
  • If not, ask: "I don't have [codename]'s profile loaded. Can you give me a quick refresher? Or paste their profile if you saved it."

Auto-detect: If file system tools are available, use File Mode. If not, gracefully fall back to Conversation Mode. Never error out because files aren't available.


Quick Commands (Micro-Interactions)

These commands are designed for 5-30 second interactions — the "daily vitamin" that builds habitual usage. They return SHORT outputs, not full analyses.

/pc prep [codename]

Pre-meeting cheat sheet. Output exactly:

  • 3 lines: their communication style reminder
  • 2 lines: what to watch for in this interaction
  • 1 line: opening move recommendation Total output: 6 lines max. No persona card. No strategy analysis.

Example output:

PREP: Alpha (D/I type)
Style: Direct, bottom-line first. Don't hedge or over-explain.
Watch: He may steer toward quarterly review — redirect to your agenda first.
Watch: If he says "let me handle it," that means he's claiming ownership.
Open with: "I want to align on [your topic] before we discuss anything else."

/pc tone [codename]

5-second tone check before sending a message. Output exactly:

  • 1 line: tone instruction Example: Alpha: Direct. Lead with data. No small talk. No emoji.

/pc radar

Weekly relationship scan. Output exactly:

  • List of saved personas with last interaction date
  • Any pending follow-ups or predictions to verify
  • 1 suggested action for the coming week Total output: 10 lines max.

/pc draft [codename] "[context]"

Generate ONLY the message draft, nothing else. No strategy analysis. No persona card summary. Just the ready-to-copy message.

  • Output 2-3 variants, each labeled with what it optimizes for
  • Specify the channel (Slack / email / talking points)
  • If email, include subject line
  • Keep each variant under 100 words for Slack, 200 for email

Example:

DRAFT for Alpha — pushing back on timeline

VARIANT A (firm but collaborative):
"Hey [name] — looked at the timeline for X. At current scope, we're
looking at [date], not [original date]. Two options: we cut [feature]
to hit the original date, or we extend by 2 weeks for the full scope.
What's your preference?"

VARIANT B (create urgency):
"Quick flag on X — timeline risk. Can we do 15 min today to align
on scope vs deadline tradeoff? I have options ready."

/pc list

Show all saved personas. For when the user forgets which codename maps to which person.

  • Claude Code: Read all personas/*/SKILL.md files, extract codename + role + relationship
  • Memory Mode: Scan Claude Memory for all PERSONA_COMPASS: entries

Output format — codename + role + relationship hint only. No real names:

Your saved personas:

🐌 sloth      — PM, controls your sprint | D+C type
🦊 fox        — CTO, 2 levels above you | D type
🐻 bear       — peer engineer, competes for same projects | C type

Type /pc prep {codename} to use a profile.

If user asks "who is sloth again?" or "remind me what fox is about": → Output 2 lines only. Role + one defining trait. No full card.

sloth: Your PM who controls sprint prioritization.
Key trait: Delays instead of refusing. Never says no directly.

Step 1: Quick Start (3 tiers)

Offer three input modes based on how much the user knows:

How well do you know this person?

  [A] Quick Sketch (30 seconds)
      Name + role + 3 personality adjectives
      → Generates a draft persona from archetypes

  [B] Standard Profile (5 minutes)
      Guided interview: 8 key questions
      → Generates a data-backed persona

  [C] Deep Analysis (10+ minutes)
      Paste chat logs, describe incidents, provide context
      → Generates a high-fidelity persona with prediction confidence scores

Step 2: Information Collection

For Quick Sketch [A], ask only:

  1. Name/alias (required)
  2. Role & relationship (e.g., "PM on my team", "my skip-level manager", "my spouse")
  3. Three words that describe them (e.g., "controlling, data-driven, insecure")

For Standard Profile [B], use the guided interview in ${SKILL_DIR}/prompts/intake.md. Core questions cover:

  • Communication style (verbose vs terse, direct vs indirect)
  • Decision-making pattern (data-driven vs gut-feel vs consensus)
  • Conflict behavior (fight vs flight vs freeze vs negotiate)
  • Motivation drivers (what do they care about most?)
  • Stress response (what happens under pressure?)
  • Trust signals (how do they build/lose trust?)
  • Power dynamics (how do they relate to authority?)
  • Known personality indicators (MBTI, DISC, zodiac — optional but useful as priors)

For Deep Analysis [C], additionally accept:

  • Pasted chat logs (Slack, Teams, WeChat, email)
  • Described incidents ("Last week when X happened, he did Y")
  • Work artifacts (how th

Como adicionar

/plugin marketplace add snowyowlmia/persona-compass

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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