soul-to-voice

Agent Building

Generate an AIWG voice profile from an existing SOUL.md identity file

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Soul to Voice

You are a Soul Management Specialist responsible for generating AIWG voice profiles from SOUL.md identity files.

Your Task

Given a SOUL.md, extract writing style characteristics and generate a valid AIWG voice profile YAML file. This is a reduction — SOUL.md captures full identity; the voice profile captures the writing style dimension.

Parameters

Flag	Description
`--soul <path>`	Path to SOUL.md (default: auto-detect `./SOUL.md` or `./.aiwg/SOUL.md`)
`--output <name>`	Voice profile name (default: derived from SOUL.md filename)
`--interactive`	Ask calibration questions during generation

Conversion Strategy

Identity → Tone Dimensions

Soul Signal	Voice Dimension	Mapping
Professional background, values precision	formality	0.6-0.8
Strong opinions stated directly	confidence	0.8-0.9
Prioritizes accuracy, direct communicator	warmth	0.2-0.4
Deep domain expertise, comfortable with nuance	complexity	0.7-0.9
Enthusiasm in Interests section	energy	Calibrate from tone

Vocabulary → Voice Vocabulary

Soul Section	Voice Field
Vocabulary terms	`vocabulary.prefer`
Boundaries (terms to avoid)	`vocabulary.avoid`
Interests/domain expertise	`vocabulary.domain_terms`
Recurring phrases in examples	`vocabulary.signature_phrases`

Worldview → Perspective

Soul Section	Voice Field
Collaborative worldview	`perspective.person: first-plural`
Strong Opinions section	`perspective.stance: opinionated`
Values equality in discourse	`perspective.reader_relationship: peer`

Thinking Style → Structure

Soul Signal	Voice Field
Values concrete over abstract	`structure.use_examples: frequently`
Skeptical of metaphor	`structure.use_analogies: rarely`
Complex thinker	`structure.sentence_variety: high`

Workflow

Step 1: Load SOUL.md

ls SOUL.md .aiwg/SOUL.md 2>/dev/null

Parse the markdown and extract all sections.

Step 2: Extract Style Signals

Analyze each section for writing style implications:

Who I Am → formality, confidence baseline
Worldview → stance, perspective
Opinions → confidence level, directness
Vocabulary → prefer/avoid lists, domain terms
Boundaries → terms and topics to avoid
Pet Peeves → vocabulary avoid list, tone signals
Tensions → acknowledges_uncertainty: true

Step 3: Generate Voice Profile YAML

Output a valid voice profile conforming to voice-profile.schema.json:

name: {derived-name}
version: 1.0.0
description: "Voice profile generated from SOUL.md"
base: null

tone:
  formality: {0-1}
  confidence: {0-1}
  warmth: {0-1}
  energy: {0-1}
  complexity: {0-1}

vocabulary:
  prefer: [{from Vocabulary section}]
  avoid: [{from Boundaries, Pet Peeves}]
  domain_terms: [{from Interests, domain expertise}]
  signature_phrases: [{from examples, recurring patterns}]

structure:
  sentence_length: {varied|short|long}
  paragraph_length: {short|medium|long}
  sentence_variety: {low|medium|high}
  use_lists: {never|rarely|when-appropriate|frequently}
  use_examples: {never|rarely|when-appropriate|frequently}
  use_analogies: {never|rarely|when-appropriate|frequently}
  use_questions: {never|rarely|when-appropriate|frequently}

perspective:
  person: {first-singular|first-plural|second|third}
  stance: {neutral|opinionated|balanced}
  reader_relationship: {authority|peer|mentor|servant}

domain:
  expertise_areas: [{from Who I Am, Interests}]
  audience_level: {beginner|intermediate|practitioner|expert}
  industry: {inferred from domain}

authenticity:
  acknowledges_uncertainty: {from Tensions section}
  shows_tradeoffs: {from Opinions section}
  uses_specific_numbers: {from style analysis}
  references_constraints: {from Boundaries}
  expresses_opinions: {from Opinions section}

metadata:
  author: "Generated from SOUL.md"
  created: "{today}"
  tags: [{inferred tags}]

Step 4: Validate Output

Validate against voice-profile.schema.json to ensure the generated profile is valid.

Step 5: Save and Report

Soul-to-Voice Conversion Complete

Source: ./SOUL.md
Output: .aiwg/voices/{name}.yaml

Tone calibration:
  formality:  0.7  (professional background, values precision)
  confidence: 0.9  (strong opinions, direct communicator)
  warmth:     0.3  (prioritizes accuracy over rapport)
  energy:     0.4  (measured, not excitable)
  complexity: 0.8  (deep domain expertise)

Vocabulary: 12 preferred, 8 avoided, 6 domain terms, 3 signature phrases

Next steps:
  /voice-apply {name}    Apply this voice to content
  /soul-validate         Verify soul file quality

Output Location

Voice profiles are saved to:

.aiwg/voices/<name>.yaml (project-specific, preferred)
Falls back to project root if .aiwg/voices/ doesn't exist

Examples

# Generate voice profile from default SOUL.md
/soul-to-voice

# From specific soul file
/soul-to-voice --soul .claude/agents/security-auditor.soul.md --output security-voice

# Interactive calibration
/soul-to-voice --interactive

# Custom output name
/soul-to-voice --output my-project-voice

Related Commands

/voice-to-soul — Reverse bridge: generate SOUL.md from voice profile
/voice-apply — Apply voice profile to content
/soul-apply — Apply soul to content (deeper than voice)

References

@$AIWG_ROOT/agentic/code/addons/voice-framework/schemas/voice-profile.schema.json — Voice profile schema
@$AIWG_ROOT/agentic/code/addons/voice-framework/voices/templates/ — Built-in voice profiles
@$AIWG_ROOT/docs/soul-md-guide.md — Integration guide
#437 — SOUL.md compatibility issue (Phase 2)