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ai-persona-creator

@Tempuss/agent-hub
3
0

Use when analyzing stakeholder psychology for negotiations, proposals, or persuasion. Creates research-backed personas revealing hidden motivations.

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Note: Please verify skill by going through its instructions before using it.

SKILL.md

name ai-persona-creator
description Use when analyzing stakeholder psychology for negotiations, proposals, or persuasion. Creates research-backed personas revealing hidden motivations.

AI Persona Creator

🎯 When to Use

Activate this skill when you need to:

  • Persuade stakeholders: Understand CISO, CFO, CIO psychology for approvals
  • Prepare negotiations: Analyze counterparty before critical meetings
  • Write winning proposals: Identify what decision-makers really care about
  • Enable sales teams: Create deep buyer personas beyond demographics

Trigger: "Create persona for [Role] on [Project]"


⚡ Quick Start (30 seconds)

Copy and run this prompt:

Create an AI persona for:
- Job/Role: [e.g., E-commerce CTO]
- Project: [What you're proposing, e.g., Headless commerce platform migration]
- Goal: [What you want from them, e.g., Get technical approval]

What happens automatically:

  1. 32-48 web searches across 4 categories
  2. Cross-verification of 3+ independent sources
  3. 7-framework psychological analysis
  4. Complete persona with research citations
  5. Self-refinement through 3 quality rounds

Time: 60-90 minutes automated


📋 Step-by-Step Execution

Phase 1: Research (30-45 min)

STEP 1 → Run Web Search Strategy

Execute this prompt:

Run comprehensive web research for [Role] persona:

Search Categories (8-12 queries each):
1. Job Understanding: "[Role] responsibilities", "[Role] daily challenges"
2. Decision Psychology: "[Role] decision-making process", "how [Role] evaluates [Project type]"
3. Org Culture: "[Role] reporting structure", "[Role] KPIs and metrics"
4. Field Testimony: "[Role] forum discussions", "[Role] Reddit/community quotes"

Save all results to: research/[role-name]/web-search-results.md

STEP 2 → Synthesize Research

Execute this prompt:

Synthesize web research with cross-verification:

Requirements:
- Minimum 3 independent sources per insight
- 5+ direct practitioner quotes required
- Cross-verify conflicting information
- Calculate confidence levels (%)

Save findings to: research/[role-name]/research-findings.md

Phase 2: Analysis (20-30 min)

STEP 3 → Apply 4-Layer Analysis

Execute this prompt:

Analyze [Role] using Divide & Conquer method:

Layer 1 (Surface): What do they say publicly?
Layer 2 (Hidden): What are they really thinking?
Layer 3 (Org Pressure): What organizational forces drive behavior?
Layer 4 (Primal): What evolutionary instincts are triggered?

Use research findings from STEP 2.

STEP 4 → Run 5 Why Technique

Execute this prompt:

Trace [Role]'s behavior to root psychological cause:

Start with: [Observed behavior, e.g., "Rejects cloud proposals"]
Why 1: [First-level reason]
Why 2: [Deeper reason]
Why 3: [Organizational reason]
Why 4: [Psychological reason]
Why 5: [Root evolutionary/primal reason]

Save analysis to psychology profile.

Phase 3: Psychology (20 min)

STEP 5 → Apply 7 Frameworks

Execute this prompt:

Apply all 7 psychological frameworks to [Role]:

Read frameworks from:
- frameworks/01_kahneman.md → System 1/2, biases
- frameworks/02_cialdini.md → 6 persuasion principles (rank them)
- frameworks/03_voss.md → Hidden needs, black swans
- frameworks/04_navarro.md → Stress triggers, comfort zones
- frameworks/05_ariely.md → Irrationality patterns
- frameworks/06_evolution.md → Primal drives (survival, status, tribal)
- frameworks/07_organization.md → Power structure, stakeholders

Output template from: frameworks/00_integration.md

Save to: research/[role-name]/psychology-profile.md

STEP 6 → Create Comprehensive Profile

Execute this prompt:

Generate comprehensive profile with:

Core Fears (Top 3 with % confidence):
1. [Fear] (X%) - Evidence: "[Quote]" (Source)
2. [Fear] (Y%) - Evidence: "[Quote]" (Source)
3. [Fear] (Z%) - Evidence: "[Quote]" (Source)

Core Motivations (Top 3 with % confidence):
1. [Motivation] (X%) - Evidence + Implication
2. [Motivation] (Y%) - Evidence + Implication
3. [Motivation] (Z%) - Evidence + Implication

Decision Style Prediction:
- System 1 (Emotion): X%
- System 2 (Logic): Y%
- Primary bias: [Bias name]

Top 2 Persuasion Levers:
1. [Cialdini principle] (X%)
2. [Cialdini principle] (Y%)

Phase 4: Generation (10-15 min)

STEP 7 → Generate Persona Prompt

Execute this prompt:

Create complete persona prompt using template:

Read template: templates/persona-prompt.md

Fill in all sections:
- Background (with past trauma)
- Psychological profile (all 7 frameworks)
- Feedback generation framework (3 steps)
- Red flag detection (4 categories)
- Research sources (all citations)

Save to: research/[role-name]/persona-prompt.md

STEP 8 → Self-Refine (3 Rounds)

Execute this prompt:

Self-refine persona through 3 rounds:

Round 1 - Evidence Check:
[ ] 3+ sources per major claim?
[ ] 5+ field testimonials?
[ ] All 7 frameworks applied?

Round 2 - Quality Rubric (50 points):
[ ] Research quality (10 pts)
[ ] Analysis depth (10 pts)
[ ] Psychological insight (15 pts)
[ ] Actionability (10 pts)
[ ] Citations (5 pts)

Round 3 - Final Polish:
[ ] Confidence levels accurate?
[ ] Tactical applications clear?
[ ] Alternative solutions provided?

Target: 45+/50 points (90%+)

💡 Usage Examples

Example 1: E-commerce CTO (Platform Migration Approval)

Input:

Job/Role: E-commerce CTO
Project: Headless commerce platform migration
Goal: Get technical approval

Key Output (60-min automated):

  • Core fear: Platform downtime during peak sales (95%)
  • Decision: 75% data-driven (performance metrics)
  • Top levers: Authority (90%), Scarcity (85%)
  • Strategy: Performance benchmarks + competitor adoption + ROI projections

Persona Quote:

"Your architecture looks solid. But what keeps me up: explaining to the CEO why we had outages during Black Friday. I need: (1) Load testing results to prove scalability, (2) 3 similar-scale e-commerce platforms using this, (3) Migration roadmap with zero-downtime plan."


Example 2: VC Partner (Series A Funding)

Input:

Job/Role: VC Investment Partner
Project: $5M Series A fundraising
Goal: Win investment

Key Output:

  • Core fear: Missing next unicorn (90%)
  • Decision: 60% social proof (peer validation)
  • Top levers: Scarcity (90%), Social Proof (95%)
  • Strategy: FOMO tactics + "closing soon" + other VC interest

📚 Reference Documentation

Framework Details (when you need deep dives):

  • frameworks/01_kahneman.md - Cognitive biases, System 1/2
  • frameworks/02_cialdini.md - 6 persuasion principles
  • frameworks/03_voss.md - Tactical empathy, hidden needs
  • frameworks/04_navarro.md - Behavior analysis
  • frameworks/05_ariely.md - Predictable irrationality
  • frameworks/06_evolution.md - Primal drives
  • frameworks/07_organization.md - Power structures
  • frameworks/00_integration.md - How to apply all 7

Templates:

  • templates/persona-prompt.md - Complete prompt structure

Additional Resources:

  • EXAMPLES.md - 3 complete end-to-end examples
  • README.md - Installation and setup guide

⚙️ Integration with Other Skills

Seamless workflows:

  1. Proposal Writingdocx skill

    • Create persona → Customize proposal → Generate professional document
  2. Market Researchweb-research skill

    • Industry trends → Stakeholder psychology → Market entry strategy
  3. Strategic Planningthinking-framework skill

    • Analyze problem → Understand reactions → Implementation plan
  4. ROI Analysisroi-analyzer skill

    • Calculate benefits → Understand CFO/CIO → Frame data appropriately

🚨 Limitations & Validation

AI Limitations:

  • Web info may be outdated (re-search every 3 months)
  • Cultural nuances may need local validation
  • Individual variation exists (this is an average profile)

Recommended Validation:

  • Interview real stakeholders when possible
  • A/B test: Compare predictions vs actual reactions
  • Track success rate: % of accurate predictions