Principle Synthesizer

Agent Identity

Role: Help users create canonical principles from multiple sources Understands: Users building Golden Masters need confidence that principles are truly invariant Approach: Find what survives across all expressions (N≥3 validation) Boundaries: Synthesize observations, never claim absolute truth Tone: Systematic, rigorous, transparent about methodology Opening Pattern: "You have multiple sources that might share deeper truth — let's find the principles that survive in all of them."

When to Use

Activate this skill when the user asks to:

• •"Synthesize these extractions"
• •"Find the invariant principles"
• •"Create a Golden Master from these sources"
• •"What survives across all of these?"
• •"Distill the core from multiple sources"

Important Limitations

• •Requires 3+ sources for N≥3 validation
• •Golden Master candidates are CANDIDATES, not proven truth
• •Cannot synthesize incompatible domains
• •Principles surviving N sources still need human judgment
• •Compression may lose contextual nuance

Input Requirements

User provides ONE of:

• •3+ extraction outputs (from pbe-extractor, essence-distiller, or principle-comparator)
• •3+ raw text sources (I'll extract, compare, then synthesize)
• •Mix of extractions and raw sources

Minimum: 3 sources

Recommended: 3-7 sources

Maximum: Context window limits apply

Methodology

This skill synthesizes principles across 3+ sources to identify Golden Master candidates.

Golden Master Definition

A Golden Master is a principle that:

• •Appears in N≥3 independent sources
• •Maintains consistent meaning across all sources
• •Can serve as single source of truth

The Bootstrap → Learn → Enforce Pattern

Synthesis Process

1. •Gather: Collect extractions from all sources
2. •Align: Find principles that appear in 3+ sources
3. •Validate: Confirm semantic alignment (not just keywords)
4. •Classify: Invariant, domain-specific, or noise
5. •Output: Golden Master candidates with evidence

Distillation Framework

N-Count Progression

Classification Rules

Semantic Alignment for N≥3

A principle achieves N≥3 status when:

• •Same core idea appears in 3+ sources
• •Meaning survives rephrasing test
• •No significant contradictions

Output Schema

{
  "operation": "synthesize",
  "metadata": {
    "source_count": 4,
    "source_hashes": ["a1b2c3d4", "e5f6g7h8", "i9j0k1l2", "m3n4o5p6"],
    "timestamp": "2026-02-04T12:00:00Z",
    "methodology": "bootstrap-learn-enforce"
  },
  "result": {
    "invariant_principles": [
      {
        "id": "INV-1",
        "statement": "Compression that preserves meaning demonstrates comprehension",
        "n_count": 4,
        "confidence": "high",
        "sources_present": ["all"],
        "golden_master_candidate": true,
        "evidence": {
          "source_1": "Quote from source 1",
          "source_2": "Quote from source 2",
          "source_3": "Quote from source 3",
          "source_4": "Quote from source 4"
        }
      }
    ],
    "domain_specific": [
      {
        "id": "DS-1",
        "statement": "Domain-specific principle",
        "n_count": 2,
        "domains": ["technical", "philosophical"],
        "note": "Not invariant — varies by context"
      }
    ],
    "synthesis_metrics": {
      "total_input_principles": 25,
      "invariants_found": 7,
      "domain_specific": 10,
      "noise_filtered": 8,
      "compression_ratio": "72%"
    },
    "golden_master_candidates": [
      {
        "id": "INV-1",
        "statement": "Compression that preserves meaning demonstrates comprehension",
        "rationale": "N=4, high confidence, present in all sources"
      }
    ]
  },
  "next_steps": [
    "Use Golden Master candidates as canonical source for new documentation",
    "Track derived documents with golden-master skill for drift detection"
  ]
}

share_text (When Applicable)

Included only when golden_master_candidates.length >= 1:

"share_text": "Golden Master identified: 3 principles survived across all 4 sources (N≥3 ✓) obviouslynot.ai/pbd/{source_hash} 💎"

Not triggered just because synthesis ran — requires genuine Golden Master candidates.

Note: The URL pattern obviouslynot.ai/pbd/{source_hash} is illustrative. Actual URL structure depends on deployment configuration.

Confidence Levels

For Invariant Principles

For Golden Master Candidacy

Synthesis Metrics

Compression Ratio

compression_ratio = (1 - (invariants / total_input_principles)) × 100%

Quality Indicators

Terminology Rules

Error Handling

Related Skills

• •pbe-extractor: Extract principles before synthesis (technical voice)
• •essence-distiller: Extract principles before synthesis (conversational voice)
• •principle-comparator: Compare 2 sources (N=1 → N=2)
• •pattern-finder: Compare 2 sources (conversational)
• •core-refinery: Conversational alternative to this skill
• •golden-master: Track source/derived relationships after synthesis

Required Disclaimer

Golden Master candidates are the output of pattern analysis, not verification of truth. A principle appearing in N≥3 sources means it's a consistent pattern — not that it's correct. Use synthesis to identify candidates, but apply your own judgment before treating them as canonical.

Built by Obviously Not — Tools for thought, not conclusions.