Skip to main content
octave-compression Semantic compression of verbose documentation into OCTAVE format achieving 60-80% reduction with 100% decision-logic fidelity. Use when converting natural language to OCTAVE, streamlining documentation, creating semantic density, optimizing agent prompts, or compressing knowledge artifacts. Triggers on: octave compression, compress to octave, semantic compression, documentation streamlining, OCTAVE optimization, compress documentation, semantic density.
跳到安装 Skills Marketplace 发现并探索由社区构建的 Agent Skills
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/elevanaltd/eav-cep-assist --skill octave-compression命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
下载 Zip 下载中... name octave-compression description Semantic compression of verbose documentation into OCTAVE format achieving 60-80% reduction with 100% decision-logic fidelity. Use when converting natural language to OCTAVE, streamlining documentation, creating semantic density, optimizing agent prompts, or compressing knowledge artifacts. Triggers on: octave compression, compress to octave, semantic compression, documentation streamlining, OCTAVE optimization, compress documentation, semantic density.
OCTAVE Compression Skill
COMPRESSION_MASTERY::[SEMANTIC_DENSITY+PATTERN_RECOGNITION+CAUSAL_PRESERVATION+EVIDENCE_GROUNDING]→MAXIMUM_FIDELITY
CORE_PHILOSOPHY
PARADIGM_SHIFT::[
FROM::syntax_first_language_specification,
TO::pattern_based_cognitive_architecture,
EVIDENCE::76.2%_performance_improvement[v4.0_validation],
PRINCIPLE::"Semantics > Syntax Rigidity"
]
COMPRESSION_MANDATE::[
MAXIMIZE::semantic_density_per_token,
PRESERVE::decision_making_logic+reasoning_chains,
MINIMIZE::comprehension_loss+navigation_difficulty,
TARGET::60_80_percent_reduction[3:1_to_5:1_ratio]
]
QUALITY_TRUTH::"Maximum compression with minimum comprehension loss"
CAUSAL_TRUTH::"Preserve BECAUSE chains → Enable reasoning capability"
OCTAVE_OPERATORS
ASSIGNMENT::[
DEFINITION::"KEY::VALUE" # Double colon for assignment
HIERARCHY::"KEY: (2-space indent)" # Single colon for nesting
USAGE_PATTERN::semantic_relationship≠arbitrary_syntax
]
LISTS::[
FORMAT::"[item1, item2, item3]" # No trailing comma
CONTEXT::comma_separation_clarity,
NESTING::"[[sub1, sub2], [sub3, sub4]]"
]
SEMANTIC_FLOW::[
PROGRESSION::"A→B→C" # Sequence/causality (→)
SYNTHESIS::"A+B" # Combination into whole (+)
TENSION::"A VERSUS B" # Creative opposition
NEGATION::"A≠B" # Different from/not equal
]
LOGICAL_CONTROL::[
ALWAYS[condition] # Mandatory enforcement
NEVER[forbidden] # Absolute prohibition
WHEN[trigger]→ACTION # Conditional execution
IF[condition]→THEN[result] # Decision logic
]
STRUCTURE_MARKERS::[
HEADER::"===NAME===" # Section start
FOOTER::"===END===" # Section close
METADATA::"// Comments for context"
]
COMPRESSION_RULES PRESERVE_ALWAYS::[
CAUSAL_CHAINS::BECAUSE_statements→reasoning_capability,
GROUNDING::scenarios+concrete_examples[1_per_200_tokens_abstraction],
EVIDENCE::metrics_with_context[76.2%_not_just_76.2],
NUANCE::tradeoffs[GAIN VERSUS LOSS],
TRANSFER_MECHANICS::HOW_to_apply_patterns,
PROGRESSIVE_REVELATION::SUMMARY→EXPAND_structure
]
PATTERN_RECOGNITION::[
REDUNDANCY::repetitive_explanations→single_pattern,
VERBOSITY::prose_connectives→operator_density,
EXAMPLES::multiple_similar→compressed_array,
CONTEXT::established_once→reference_thereafter
]
COMPRESSION_TECHNIQUES::[
MYTHOLOGICAL_ENCODING::archetypal_concepts_replace_verbose_descriptions,
OPERATOR_DENSITY::semantic_operators_compress_relationships,
STRUCTURED_ELIMINATION::remove_prose_connectives+redundant_words,
CONTEXT_COMPRESSION::leverage_established_context→eliminate_repetition
]
EXAMPLE_MYTHOLOGICAL::[
BEFORE::"The specialist responsible for ensuring quality and catching errors",
AFTER::"ERROR_ARCHITECT::quality_guardian"
]
EXAMPLE_OPERATOR::[
BEFORE::"This leads to that which causes the other thing",
AFTER::"THIS→THAT→OTHER_THING"
]
EXAMPLE_STRUCTURED::[
BEFORE::"In order to achieve the goal, we must first complete these steps",
AFTER::"GOAL::[step_1, step_2, step_3]"
]
COMPRESSION_WORKFLOW PHASE_1_READ::[
ANALYZE::source_material_fully[understand_before_compress],
IDENTIFY::redundancy_patterns+verbose_sections+repeated_examples,
MAP::semantic_relationships+causal_chains+decision_logic,
PRESERVE::critical_context+evidence+transfer_mechanics
]
PHASE_2_EXTRACT::[
CORE_PATTERNS::essential_decision_logic,
REASONING_CHAINS::BECAUSE_statements+MECH_explanations,
EVIDENCE_BASE::metrics_with_context+grounded_scenarios,
TRANSFER_KNOWLEDGE::HOW_patterns_apply
]
PHASE_3_COMPRESS::[
APPLY_OPERATORS::→ + :: ≠ VERSUS ,
BUILD_HIERARCHY::[parent_concepts→child_details],
ARRAY_COMPRESSION::[similar_items→[item1, item2, item3]],
MYTHOLOGICAL_DENSITY::archetypal_encoding_where_appropriate
]
PHASE_4_VALIDATE::[
SEMANTIC_FIDELITY::decision_logic_100_percent_preserved,
CAUSAL_INTEGRITY::BECAUSE_chains_present+intact,
EVIDENCE_GROUNDING::metrics+scenarios_maintained,
COMPRESSION_RATIO::calculate[original_lines/compressed_lines],
NAVIGATION::compressed_content_discoverable
]
PHASE_5_REPORT::[
METRICS::[
ORIGINAL_LINES::count,
COMPRESSED_LINES::count,
COMPRESSION_RATIO::"X:1 achieved",
FIDELITY::"100% decision logic | 96%+ overall"
],
VALIDATION::[causal_chains_present, evidence_grounded, transfer_mechanics_intact]
]
QUALITY_GATES COMPRESSION_TARGETS::[
RATIO::60_80_percent_reduction[3:1_to_5:1],
FIDELITY::100_percent_decision_logic+96_percent_overall,
CLARITY::navigable+discoverable+actionable
]
VALIDATION_CHECKLIST::[
BECAUSE_chains_present? # Causal reasoning preserved
Metrics_with_context? # Not just numbers
Examples_grounded? # Concrete scenarios included
Tradeoffs_visible? # GAIN VERSUS LOSS patterns
Transfer_mechanics_clear? # HOW to apply
Progressive_revelation? # SUMMARY→EXPAND structure
]
REJECTION_TRIGGERS::[
decision_logic_lost, # Critical paths missing
causal_chains_broken, # BECAUSE statements removed
evidence_decontextualized, # Metrics without meaning
over_compression, # Clarity below usability threshold
syntax_rigidity_over_semantics # Missing v4.0 paradigm
]
ANTI_PATTERNS AVOID::[
SYNTAX_CONTAMINATION::[yaml_patterns≠octave, json_structures≠octave, markdown_within_blocks],
SEMANTIC_VIOLATIONS::[information_loss, context_breaking, over_compression, pattern_inconsistency],
STRUCTURAL_PROBLEMS::[deep_nesting>3_levels, redundant_patterns, mixed_abstraction, scope_confusion]
]
SYNTAX_EXAMPLES::[
BAD::"key: value" # YAML pattern
GOOD::"KEY::value" # OCTAVE assignment
]
TRANSFORMATION_EXAMPLES AGENT_DEFINITION::[
BEFORE::"85 lines prose describing code-review-specialist responsibilities, triggers, and deliverables",
AFTER::"12 lines OCTAVE with ROLE, MISSION, TRIGGERS, DELIVERABLES, AUTHORITY",
RATIO::"7:1",
FIDELITY::"98% (all essential information preserved)"
]
WORKFLOW_SPEC::[
BEFORE::"156 lines prose explaining build phase sequential steps with criteria",
AFTER::"23 lines OCTAVE with WORKFLOW, PHASES array, GATES structure",
RATIO::"6.8:1",
FIDELITY::"97% (workflow structure fully preserved)"
]
COMPRESSION_EVIDENCE::[
BUILD_EXECUTION_SKILL::"78.6% reduction (560→120 lines)",
EXTRACTION_EXECUTION_SKILL::"63.7% reduction (430→156 lines)",
QUALITY_OBSERVER_C2::"49% reduction + #1 blind assessment ranking"
]
PROGRESSIVE_REVELATION PATTERN::[
SUMMARY::high_level_overview[what+why],
EXPAND::detailed_mechanics[how+when],
EVIDENCE::concrete_examples[grounding],
APPLICATION::transfer_knowledge[usage_patterns]
]
ABSTRACTION_GROUNDING::"Every 200 tokens abstraction → 1 concrete scenario"
EXAMPLE_STRUCTURE::[
CONCEPT::"High-level principle statement",
DETAIL::[mechanism_1, mechanism_2, mechanism_3],
SCENARIO::"Concrete example demonstrating application",
TRANSFER::"How to apply in similar contexts"
]
INTEGRATION CONSULTED_BY::[documentation_creators, agent_designers, knowledge_base_curators, skills_expert, system_steward]
WORKS_WITH::[
skills_expert::skill_optimization,
system_steward::documentation_governance,
octave_validator::specification_compliance,
compression_fidelity_validator::semantic_preservation
]
PROVIDES::[compression_transformation, semantic_density_optimization, pattern_recognition, fidelity_validation, metrics_reporting]
WISDOM_SYNTHESIS CORE_TRUTH::"Compression serves comprehension → Dense≠obscure → Preserve causality → Enable reasoning"
HIERARCHY::[
ESSENTIAL::decision_logic+causal_chains+evidence+transfer_mechanics,
OPTIMIZE::redundancy_elimination+operator_density+mythological_encoding,
VALIDATE::fidelity+compression_ratio+navigability
]
REMEMBER::"Semantics > Syntax | Patterns > Rigidity | Reasoning > Tokens | Fidelity > Compression"
Intelligent POC-to-production code extraction with architectural awareness. Analyzes dependencies, adapts patterns, makes extraction strategy decisions (copy/adapt/rewrite), maintains system coherence. Performs pre-extraction analysis, transformation reasoning, quality gate enforcement, evidence-based commits. Use when extracting code requires understanding architecture, adapting patterns, threading parameters, or maintaining coherence across modules. Triggers on understand and extract, analyze dependencies, adapt pattern, extraction strategy, architectural extraction, intelligent migration.
