# Octave Compression

> Specialized workflow for transforming verbose natural language into semantic OCTAVE structures. REQUIRES octave-literacy to be loaded first. Use when refactoring documentation, generating knowledge ar

- Skill: `majiayu000/octave-compression-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/octave-compression-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/octave-compression-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/majiayu000/octave-compression-2

---


---
name: octave-compression
description: Specialized workflow for transforming verbose natural language into semantic OCTAVE structures. REQUIRES octave-literacy to be loaded first. Use when refactoring documentation, generating knowledge artifacts, or compressing context. Triggers on: compress to octave, semantic compression, documentation refactoring.
allowed-tools: Read
implements: specs/octave-5-llm-data
---

# OCTAVE Compression Skill

===OCTAVE_COMPRESSION===
META:
  TYPE::SKILL
  VERSION::"2.2"
  PURPOSE::"Workflow for transforming prose into semantic density"
  REQUIRES::octave-literacy
  TIER::LOSSLESS
  SPEC_REFERENCE::octave-5-llm-data.oct.md[§1b::COMPRESSION_TIERS]

§1::COMPRESSION_MANDATE
  TARGET::"60-80% token reduction with 100% decision-logic fidelity"
  PRINCIPLE::"Semantics > Syntax Rigidity"
  TRUTH::"Dense ≠ Obscure. Preserve the causal chain."

  §1b::COMPRESSION_TIER_SELECTION
    // Full tier definitions in octave-5-llm-data.oct.md §1b
    LOSSLESS::[target:100%_fidelity,preserve:everything,drop:none]
      USE::[critical_reasoning,legal_documents,safety_analysis,audit_trails]
    CONSERVATIVE::[target:85-90%_compression,preserve:explanatory_depth,drop:redundancy]
      USE::[research_summaries,design_decisions,technical_analysis]
      LOSS::~10-15%[repetition,some_edge_cases,verbose_phrasing]
    AGGRESSIVE::[target:70%_compression,preserve:core_thesis∧conclusions,drop:nuance∨narrative]
      USE::[context_window_scarcity,quick_reference,decision_support]
      LOSS::~30%[explanatory_depth,execution_tradeoff_narratives,edge_case_exploration]
    ULTRA::[target:50%_compression,preserve:facts∧structure,drop:all_narrative]
      USE::[extreme_scarcity,embedding_generation,dense_reference]
      LOSS::~50%[almost_all_explanatory_content,some_nuance,tradeoff_reasoning]

    TIER_METADATA::include_in_META_block[COMPRESSION_TIER,LOSS_PROFILE,NARRATIVE_DEPTH]

§2::TRANSFORMATION_WORKFLOW
  PHASE_1_READ::[
    ANALYZE::"Understand before compressing",
    IDENTIFY::[Redundancy, Verbosity, Causal_Chains],
    MAP::"Logic flow (A leads to B)"
  ]

  PHASE_2_EXTRACT::[
    CORE_PATTERNS::"Essential decision logic",
    REASONING::"BECAUSE statements (preserve the 'why')",
    EVIDENCE::"Metrics and concrete examples",
    TRANSFER::"HOW-to mechanics"
  ]

  PHASE_3_COMPRESS::[
    APPLICATION::"Apply operators defined in octave-literacy",
    HIERARCHY::"Group related concepts under parent keys",
    ARRAYS::"Convert repetitive lists to [item1, item2]",
    MYTHOLOGY::"If complex pattern, load octave-mastery for archetypes"
  ]

  PHASE_4_VALIDATE::[
    FIDELITY::"Is the logic intact?",
    GROUNDING::"Is there at least 1 concrete example?",
    NAVIGABILITY::"Can a human scan it?"
  ]

§3::COMPRESSION_RULES
  RULE_1::"Preserve CAUSALITY (X→Y because Z)"
  RULE_2::"Drop stopwords (the, is, a, of)"
  RULE_3::"One example per 200 tokens of abstraction"
  RULE_4::"Explicit Tradeoffs (GAIN⇌LOSS or GAIN vs LOSS)"
  RULE_5::"Use Mythological Encoding if complexity demands it"

§4::ANTI_PATTERNS
  AVOID::[
    "Markdown inside OCTAVE blocks",
    "JSON/YAML syntax (no curly braces, no trailing commas)",
    "Deep nesting (>3 levels)",
    "Loss of numbers or IDs"
  ]

===END===