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Individual AI skill · AI for Inteligencia e Investigación

interpreting-culture-index

Interprets Culture Index (CI) surveys, behavioral profiles, and personality assessment data. Supports individual profile interpretation, team composition analysis (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Accepts extracted JSON or PDF input via OpenCV extraction script.

Source content · review pending Source language: EN

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How to ask with this skill installed

Installing the skill gives your AI a method. Your request still has to provide the case-specific facts, constraints and expected output.

1Name the real task

Describe the decision or deliverable, not just the topic.

2Provide the evidence

Add source material, audience, limits and known facts.

3Define done

Set format, quality criteria and checks.

Adaptable starting prompt Replace the brackets with your case

When to use it

  • Interpreting Culture Index survey results (individual or team)
  • Analyzing CI profiles from PDF or JSON data
  • Assessing team composition using Gas/Brake/Glue framework
  • Detecting burnout risk by comparing Survey vs Job graphs
  • Defining hiring profiles based on CI trait patterns
  • Coaching managers on how to work with specific CI profiles
  • Predicting CI traits from interview transcripts
  • Mediating team conflict using CI profile data

When not to use it

  • For non-CI behavioral assessments (DISC, Myers-Briggs, StrengthsFinder, Predictive Index, Enneagram)
  • For clinical psychological assessments or diagnoses
  • As the sole basis for hiring/firing decisions — CI is one data point among many

<input_formats>

JSON (Use if available)

If JSON data is already extracted, use it directly:

import json
with open("person_name.json") as f:
    profile = json.load(f)

JSON format:

{
  "name": "Person Name",
  "archetype": "Architect",
  "survey": {
    "eu": 21,
    "arrow": 2.3,
    "a": [5, 2.7],
    "b": [0, -2.3],
    "c": [1, -1.3],
    "d": [3, 0.7],
    "logic": [5, null],
    "ingenuity": [2, null]
  },
  "job": { "..." : "same structure as survey" },
  "analysis": {
    "energy_utilization": 148,
    "status": "stress"
  }
}

Note: Trait values are [absolute, relative_to_arrow] tuples. Use the relative value for interpretation.

Check same directory as PDF for matching .json file, or ask user if they have extracted JSON.

PDF Input (MUST EXTRACT FIRST)

NEVER use visual estimation for trait values. Visual estimation has 20-30% error rate.

When given a PDF:

  1. Check if JSON already exists (same directory as PDF, or ask user)
  2. If not, run extraction with verification:
   uv run {baseDir}/scripts/extract_pdf.py --verify /path/to/file.pdf [output.json]
  1. Visually confirm the verification summary matches the PDF
  2. Use the extracted JSON for interpretation

If uv is not installed: Stop and instruct user to install it (brew install uv or pip install uv). Do NOT fall back to vision.

PDF Vision (Reference Only)

Vision may be used ONLY to verify extracted values look reasonable, NOT to extract trait scores.

</input_formats>

<intake>

Step 0: Do you have JSON or PDF?

  1. If JSON provided or found: Use it directly (skip extraction)
  • Check same directory as PDF for .json file with matching name
  • Check if user provided JSON path
  1. If only PDF: Run extraction script with --verify flag
   uv run {baseDir}/scripts/extract_pdf.py --verify /path/to/file.pdf [output.json]
  1. If extraction fails: Report error, do NOT fall back to vision

Step 1: What data do you have?

  • CI Survey JSON → Proceed to Step 2
  • CI Survey PDF → Extract first (Step 0), then proceed to Step 2
  • Interview transcript only → Go to option 8 (predict traits from interview)
  • No data yet → "Please provide Culture Index profile (PDF or JSON) or interview transcript"

Step 2: What would you like to do?

Profile Analysis:

  1. Interpret an individual profile - Understand one person's traits, strengths, and challenges
  2. Analyze team composition - Assess gas/brake/glue balance, identify gaps
  3. Detect burnout signals - Compare Survey vs Job, flag stress/frustration
  4. Compare multiple profiles - Understand compatibility, collaboration dynamics
  5. Get motivator recommendations - Learn how to engage and retain someone

Hiring & Candidates:

  1. Define hiring profile - Determine ideal CI traits for a role
  2. Coach manager on direct report - Adjust management style based on both profiles
  3. Predict traits from interview - Analyze interview transcript to estimate CI traits
  4. Interview debrief - Assess candidate fit based on predicted traits

Team Development:

  1. Plan onboarding - Design first 90 days based on new hire and team profiles
  2. Mediate conflict - Understand friction between two people using their profiles

Provide the profile data (JSON or PDF) and select an option, or describe what you need.

</intake>

<routing>

| Response | Workflow | |----------|----------| | "extract", "parse pdf", "convert pdf", "get json from pdf" | workflows/extract-from-pdf.md | | 1, "individual", "interpret", "understand", "analyze one", "single profile" | workflows/interpret-individual.md | | 2, "team", "composition", "gaps", "balance", "gas brake glue" | workflows/analyze-team.md | | 3, "burnout", "stress", "frustration", "survey vs job", "energy", "flight risk" | workflows/detect-burnout.md | | 4, "compare", "compatibility", "collaboration", "multiple", "two profiles" | workflows/compare-profiles.md | | 5, "motivate", "engage", "retain", "communicate" | Read references/motivators.md directly | | 6, "hire", "hiring profile", "role profile", "recruit", "what profile for" | workflows/define-hiring-profile.md | | 7, "manage", "coach", "1:1", "direct report", "manager" | workflows/coach-manager.md | | 8, "transcript", "interview", "predict traits", "guess", "estimate", "recording" | workflows/predict-from-interview.md | | 9, "debrief", "should we hire", "candidate fit", "proceed", "offer" | workflows/interview-debrief.md | | 10, "onboard", "new hire", "integrate", "starting", "first 90 days" | workflows/plan-onboarding.md | | 11, "conflict", "friction", "mediate", "not working together", "clash" | workflows/mediate-conflict.md | | "conversation starters", "how to talk to", "engage with" | Read references/conversation-starters.md directly |

After reading the workflow, follow it exactly.

</routing>

<verification_loop>

After every interpretation, verify:

  1. Did you use relative positions? Never stated "A is 8" without context
  2. Did you reference the arrow? All trait interpretations relative to arrow
  3. Did you compare Survey vs Job? Identified any behavior modification
  4. Did you avoid value judgments? No traits called "good" or "bad"
  5. Did you check EU? Energy utilization calculated if both graphs present

Report to user:

  • "Interpretation complete"
  • Key findings (2-3 bullet points)
  • Recommended actions

</verification_loop>

<reference_index>

Domain Knowledge (in references/):

Primary Traits:

  • primary-traits.md - A (Autonomy), B (Social), C (Pace), D (Conformity)

Secondary Traits:

  • secondary-traits.md - EU (Energy Units), L (Logic), I (Ingenuity)

Patterns:

  • patterns-archetypes.md - Behavioral patterns, trait combinations, archetypes

Archetype Deep Profiles (archetype-*.md):

  • archetype-administrator.md - The Administrator (High A, High B, Low C, Mid D)
  • archetype-coordinator.md - The Coordinator (Low A, High B, Mid C, Low D)
  • archetype-craftsman.md - The Craftsman (Low A, Low B, High C, High D)
  • archetype-daredevil.md - The Daredevil (High A, Low B, Low C, Low D)
  • archetype-debater.md - The Debater (Mid A, Mid-High B, Low C, High D)
  • archetype-facilitator.md - The Facilitator (Low A, Mid B, Mid C, Low D)
  • archetype-influencer.md - The Influencer (Low A, High B, Low C, Low D)
  • archetype-operator.md - The Operator (Low A, Low B, High C, Mid-High D)
  • archetype-persuader.md - The Persuader (High A, High B, Low C, Low D)
  • archetype-philosopher.md - The Philosopher (Low A, Low B, High C, Low D)
  • archetype-rainmaker.md - The Rainmaker (High A, High B, Low C, Low D)
  • archetype-scholar.md - The Scholar (High A, Low B, Low C, High D)
  • archetype-socializer.md - The Socializer (Low A, High B, Low C, Low D)
  • archetype-specialist.md - The Specialist (Low A, Low B, High C, Mid D)
  • archetype-technical-expert.md - The Technical Expert (Low A, Low B, High C, Low D)
  • archetype-traditionalist.md - The Traditionalist (Low A, Low B, High C, High D)
  • archetype-trailblazer.md - The Trailblazer (High A, Mid B, Mid C, Low D)

Application:

  • motivators.md - How to motivate each trait type
  • team-composition.md - Gas, brake, glue framework
  • anti-patterns.md - Common interpretation mistakes
  • conversation-starters.md - How to engage each pattern and trait type
  • interview-trait-signals.md - Signals for predicting traits from interviews

</reference_index>

<workflows_index>

Workflows (in workflows/):

| File | Purpose | |------|---------| | extract-from-pdf.md | Extract profile data from Culture Index PDF to JSON format | | interpret-individual.md | Analyze single profile, identify archetype, summarize strengths/challenges | | analyze-team.md | Assess team balance (gas/brake/glue), identify gaps, recommend hires | | detect-burnout.md | Compare Survey vs Job, calculate EU utilization, flag risk signals | | compare-profiles.md | Compare multiple profiles, assess compatibility, collaboration dynamics | | define-hiring-profile.md | Define ideal CI traits for a role, identify acceptable patterns and red flags | | coach-manager.md | Help managers adjust their style for specific direct reports | | predict-from-interview.md | Analyze interview transcripts to predict CI traits before survey | | interview-debrief.md | Assess candidate fit using predicted traits from transcript analysis | | plan-onboarding.md | Design first 90 days based on new hire profile and team composition | | mediate-conflict.md | Understand and address friction between team members using their profiles |

</workflows_index>

<quick_reference>

Trait Colors: | Trait | Color | Measures | |-------|-------|----------| | A | Maroon | Autonomy, initiative, self-confidence | | B | Yellow | Social ability, need for interaction | | C | Blue | Pace/Patience, urgency level | | D | Green | Conformity, attention to detail | | L | Purple | Logic, emotional processing | | I | Cyan | Ingenuity, inventiveness |

Energy Utilization Formula:

Utilization = (Job EU / Survey EU) × 100

70-130% = Healthy
>130% = STRESS (burnout risk)
<70% = FRUSTRATION (flight risk)

Gas/Brake/Glue: | Role | Trait | Function | |------|-------|----------| | Gas | High A | Growth, risk-taking, driving results | | Brake | High D | Quality control, risk aversion, finishing | | Glue | High B | Relationships, morale, culture |

Score Precision: | Value | Precision | Example | |-------|-----------|---------| | Traits (A,B,C,D,L,I) | Integer 0-10 | 0, 1, 2, ... 10 | | Arrow position | Tenths | 0.4, 2.2, 3.8 | | Energy Units (EU) | Integer | 11, 31, 45 |

</quick_reference>

<success_criteria>

A well-interpreted Culture Index profile:

  • Uses relative positions (distance from arrow), never absolute values alone
  • Identifies the archetype/pattern correctly
  • Highlights 2-3 key strengths based on leading traits
  • Notes 2-3 challenges or development areas
  • Compares Survey vs Job if both are available
  • Provides actionable recommendations
  • Avoids value judgments ("good"/"bad")
  • Acknowledges Culture Index is one data point, not a complete picture

</success_criteria>

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