fatcrapinmybutt/OMEGA-SINGULARITY-APEX-INDEX
.agents/skills/OMEGA-SINGULARITY-APEX-INDEX/SKILL.md
Master manifest for all 33 THEMANBEARPIG skills across 8 tiers. Activation matrix, cross-skill dependencies, quality gates, upgrade paths, build pipeline, tier architecture. The unified command center for the complete MBP skill taxonomy.
development
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add fatcrapinmybutt/cortex-osint OMEGA-SINGULARITY-APEX-INDEXInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- OMEGA-SINGULARITY-APEX-INDEX
- description:
- Master manifest for all 33 THEMANBEARPIG skills across 8 tiers. Activation matrix, cross-skill dependencies, quality gates, upgrade paths, build pipeline, tier architecture. The unified command center for the complete MBP skill taxonomy.
- version:
- 3.0.0
- tier:
- OMEGA
- domain:
- Master manifest — 33-skill activation matrix, cross-tier orchestration, quality gates, upgrade paths
OMEGA-SINGULARITY-APEX-INDEX v3.0
The unified command center for 33 THEMANBEARPIG skills across 8 tiers + OMEGA. Evolved from OMEGA-MBP-INDEX v1.0 to encompass the TIER 7 APEX intelligence layer.
Complete Skill Taxonomy (33 Skills)
TIER 0 — GENESIS (Architectural DNA)
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 1 | MBP-GENESIS | Graph architecture, node/link taxonomy, layer ontology | 800+ | LAYER_META, node schema, D3 force graph foundation | | 2 | MBP-DATAWEAVE | Data pipeline, DB→graph, 183-table transforms | 800+ | SQLite/DuckDB/LanceDB→D3 data fabric, FTS5→graph |
TIER 1 — FORGE (Rendering & Deployment)
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 3 | MBP-FORGE-RENDERER | SVG/Canvas/WebGL rendering, LOD, viewport culling | 500+ | Multi-backend render pipeline, quadtree spatial index | | 4 | MBP-FORGE-PHYSICS | Force simulation, custom forces, collision, layout | 500+ | Barnes-Hut n-body, orbital forces, cluster gravity | | 5 | MBP-FORGE-EFFECTS | Visual effects, shaders, particles, glow, CRT | 500+ | GLSL shaders, particle systems, fog-of-war, scanlines | | 6 | MBP-FORGE-DEPLOY | EXE build, pywebview, PyInstaller, D3 inline | 500+ | Standalone Windows executable with embedded graph |
TIER 2 — COMBAT (Litigation Intelligence Overlays)
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 7 | MBP-COMBAT-ADVERSARY | Adversary network, PageRank, centrality, clusters | 500+ | Louvain clustering, ego-network, threat PageRank | | 8 | MBP-COMBAT-WEAPONS | Weapon chains, 9 types, doctrine→remedy→filing | 500+ | False allegation chains, ex parte weaponization | | 9 | MBP-COMBAT-JUDICIAL | Judicial cartel, McNeill triangle, violation heatmap | 500+ | Berry-McNeill-Hoopes triangle, JTC exhibit map | | 10 | MBP-COMBAT-EVIDENCE | Evidence density, semantic clustering, gap detection | 500+ | Heat density, t-SNE projection, evidence gap radar | | 11 | MBP-COMBAT-AUTHORITY | Authority hierarchy, citation PageRank, chain scoring | 500+ | Citation graph, chain completeness, Shepard signals | | 12 | MBP-COMBAT-IMPEACHMENT | Impeachment scoring, credibility chains, cross-exam | 500+ | MRE 613 chains, credibility decay, contradiction map |
TIER 3 — INTERFACE (User Interaction)
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 13 | MBP-INTERFACE-CONTROLS | Click/search/filter/keyboard/export | 400+ | Fuse.js search, context menus, keyboard shortcuts | | 14 | MBP-INTERFACE-TIMELINE | Timeline scrubber, temporal playback, keyframes | 400+ | Temporal animation, milestone markers, date filtering | | 15 | MBP-INTERFACE-NARRATIVE | Story mode, narrative generation, jury presentation | 400+ | Auto-narrative, walkthrough sequences, breadcrumbs | | 16 | MBP-INTERFACE-HUD | HUD gauges, EGCP display, minimap, alerts | 400+ | Filing readiness gauges, FPS monitor, threat alerts |
TIER 4 — INTEGRATION (Engine & Brain Bridges)
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 17 | MBP-INTEGRATION-ENGINES | 14-engine bridge, MEEK/FRED/Delta999 overlays | 400+ | Engine health dashboard, cross-engine data flow | | 18 | MBP-INTEGRATION-FILING | Filing pipeline F1-F10, Kanban, EGCP, deadlines | 400+ | Filing packet visualization, deadline countdown | | 19 | MBP-INTEGRATION-BRAINS | Brain network, 23+ brains, inter-brain flows | 400+ | Brain health monitoring, knowledge transfer paths |
TIER 5 — EMERGENCE (Self-Improving Systems)
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 20 | MBP-EMERGENCE-CONVERGENCE | Cross-layer intelligence, DBSCAN, gap→task generation | 400+ | Emergence signal detection, novelty scoring | | 21 | MBP-EMERGENCE-PREDICTION | Adversary behavior forecasting, escalation detection | 400+ | Temporal pattern analysis, counter-strategy pre-gen | | 22 | MBP-EMERGENCE-SELFEVOLVE | Self-improving layout, config learning, plugins | 400+ | Adaptive force optimization, localStorage persistence |
TIER 6 — TRANSCENDENCE (Beyond 2D)
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 23 | MBP-TRANSCENDENCE-SONIC | Audio sonification, threat→pitch, ambient soundscape | 300+ | Web Audio API, data-driven sound, spatial audio | | 24 | MBP-TRANSCENDENCE-DIMENSIONAL | 3D graph, Three.js, VR/WebXR, t-SNE projection | 300+ | Three.js force graph, stereoscopic, UMAP layout |
TIER 7 — APEX (Intelligence Layer) ⚡ NEW
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 25 | MBP-APEX-COGNITION | Self-evolving agent architecture | 1900+ | EvoAgentX, AOPR loops, critic sub-agents, hybrid neural+symbolic | | 26 | MBP-APEX-MEMORY | Tri-layer litigation memory | 1800+ | Working/episodic/semantic memory, A-MEM Zettelkasten, Mem0 | | 27 | MBP-APEX-VISION | Document AI and OCR pipeline | 1700+ | PaddleOCR, Surya, PP-StructureV3, court form recognition | | 28 | MBP-APEX-GRAPHML | Graph neural networks for legal reasoning | 1800+ | Legal provision prediction, RulE model, entity resolution | | 29 | MBP-APEX-WEBGPU | GPU-accelerated rendering | 1500+ | d3-force-webgpu, compute shaders, SDF nodes, 100K+ @ 60fps | | 30 | MBP-APEX-DOCKET | Real-time court monitoring | 1200+ | MiCOURT API, CourtListener, auto-deadline detection | | 31 | MBP-APEX-AUTOMATON | Autonomous legal inference engine | 2700+ | 6-layer reasoning, 20 authority templates, constitutional cascade |
OMEGA — Master Manifest
| # | Skill | Domain | Lines | Key Capability | |---|-------|--------|-------|----------------| | 32 | OMEGA-MBP-INDEX | Legacy manifest (25 skills) | 300+ | Original activation matrix — SUPERSEDED by this file | | 33 | OMEGA-SINGULARITY-APEX-INDEX | Master manifest (33 skills) | 600+ | THIS FILE — unified command center for all tiers |
Tier Architecture Diagram
╔══════════════════════════════════╗
║ OMEGA-SINGULARITY-APEX-INDEX ║
║ Master Manifest (33 skills) ║
╚═══════════════╤══════════════════╝
│
┌─────────────────────────┼─────────────────────────┐
│ │ │
╔═════╧═════╗ ╔═══════╧══════╗ ╔═══════╧══════╗
║ TIER 7 ║ ║ TIERS 0-6 ║ ║ TIER 6 ║
║ APEX ║ ║ VISUALIZATION║ ║ TRANSCENDENCE║
║ 7 skills ║ ║ 18 skills ║ ║ 2 skills ║
╚═════╤═════╝ ╚══════╤═══════╝ ╚══════════════╝
│ │
┌─────┼─────┐ ┌─────┼─────┐
│ │ │ │ │ │
COGN MEM GRAPH GENESIS FORGE COMBAT
VISION AUTO WEBGPU INTERFACE INTEGRATION
DOCKET EMERGENCE
INTELLIGENCE ←──────→ VISUALIZATION
(brain) (eyes + hands)
APEX Activation Matrix
Single-Skill Activation
| Task Domain | Activate APEX Skill | Trigger Keywords | |-------------|-------------------|------------------| | Agent self-improvement, AOPR loops, critic validation | APEX-COGNITION | self-evolve, agent loop, critic, confidence calibration | | Memory management, context persistence, recall optimization | APEX-MEMORY | memory, recall, context, episodic, working memory, semantic | | OCR, PDF extraction, form recognition, document parsing | APEX-VISION | OCR, PDF, scan, document AI, form type, table extraction | | Legal reasoning graphs, citation analysis, entity resolution | APEX-GRAPHML | graph neural, citation rank, entity resolve, legal prediction | | Large graph rendering, GPU compute, WebGPU shaders | APEX-WEBGPU | WebGPU, GPU, 100K nodes, compute shader, SDF, framerate | | Court monitoring, docket alerts, deadline auto-detection | APEX-DOCKET | docket, court monitor, deadline, MiCOURT, CourtListener | | Autonomous legal analysis, multi-layer reasoning | APEX-AUTOMATON | legal inference, authority match, constitutional cascade, COA |
Multi-Skill APEX Activation
| Task Pattern | APEX Skills Activated | Supporting Tiers | |-------------|----------------------|-----------------| | Evidence discovery + analysis | VISION + MEMORY + COGNITION | T2-COMBAT, T4-INTEGRATION | | Large-scale graph rebuild | WEBGPU + GRAPHML + COGNITION | T0-GENESIS, T1-FORGE | | Filing automation pipeline | AUTOMATON + DOCKET + MEMORY | T4-FILING, T3-HUD | | Court hearing preparation | AUTOMATON + GRAPHML + MEMORY | T2-IMPEACHMENT, T2-AUTHORITY | | Adversary response prediction | COGNITION + GRAPHML + AUTOMATON | T5-PREDICTION, T2-ADVERSARY | | Document intake + classification | VISION + MEMORY + GRAPHML | T0-DATAWEAVE, T2-EVIDENCE | | Full system evolution | ALL 7 APEX skills | ALL tiers |
Cross-Tier Integration Map
| APEX Skill | Primary Tier Links | Data Flow | |-----------|-------------------|-----------| | COGNITION | T5-EMERGENCE (SELFEVOLVE, CONVERGENCE) | Agent optimization → layout learning | | MEMORY | T4-INTEGRATION (BRAINS), T0-DATAWEAVE | Memory layers → brain network → data pipeline | | VISION | T0-DATAWEAVE, T2-EVIDENCE | OCR → data pipeline → evidence density map | | GRAPHML | T2-AUTHORITY, T2-ADVERSARY, T1-PHYSICS | GNN → citation PageRank → force layout | | WEBGPU | T1-FORGE (RENDERER, PHYSICS) | GPU compute → force simulation → rendering | | DOCKET | T4-FILING, T3-TIMELINE | Court events → filing pipeline → timeline | | AUTOMATON | T2-ALL, T5-PREDICTION | Legal inference → combat overlays → predictions |
Quality Gates (Per Tier)
Tier 0-6 Quality Gates (Existing — Maintained)
| Gate | Requirement | |------|-------------| | YAML frontmatter | Valid, description ≤ 1024 characters | | Content depth | 300+ lines minimum | | Anti-patterns | 10+ rules per skill | | Performance budgets | Table with operation → budget → technique | | Cross-links | References to related skills |
Tier 7 APEX Quality Gates (Enhanced)
| Gate | Requirement | Rationale | |------|-------------|-----------| | YAML frontmatter | Valid, description ≤ 1024 chars | Copilot CLI requirement | | Content depth | 800+ lines minimum (vs 300 for T0-6) | APEX = deeper intelligence | | Actionable code | 500+ lines of Python/JS/WGSL | Must include runnable implementations | | Anti-patterns | 15+ rules per skill | Intelligence layer = more failure modes | | Performance budgets | Table with operation → budget → technique | GPU/ML operations have strict budgets | | Research citations | 3+ bleeding-edge sources per skill | APEX absorbs cutting-edge research | | Integration tests | Cross-tier integration examples | APEX skills bridge multiple tiers | | Error recovery | Graceful degradation matrix | ML/GPU failures must not crash system | | Cross-session persistence | DB schema for learned state | Intelligence must survive restarts |
Dependency Graph (33 Skills)
Foundation Dependencies (must load first)
GENESIS ──→ DATAWEAVE ──→ FORGE-RENDERER
│ │ │
│ ├──→ FORGE-PHYSICS
│ │ │
│ └──→ ALL COMBAT skills
│
└──→ APEX-GRAPHML (needs node/link schema)
└──→ APEX-COGNITION (needs graph intelligence)
└──→ APEX-AUTOMATON (needs agent framework)
Rendering Dependencies
FORGE-RENDERER ──→ FORGE-EFFECTS
│ │
└──→ FORGE-PHYSICS ──→ APEX-WEBGPU (GPU acceleration)
│
└──→ TRANSCENDENCE-DIMENSIONAL (3D)
Intelligence Dependencies
APEX-MEMORY ──→ APEX-COGNITION ──→ APEX-AUTOMATON
│ │ │
│ └──→ EMERGENCE-SELFEVOLVE
│ │
└──→ APEX-VISION ──→ DATAWEAVE │
│
APEX-DOCKET ──→ INTEGRATION-FILING ──→ AUTOMATON
│
└──→ INTERFACE-HUD (deadline gauges)
Combat Dependencies
COMBAT-ADVERSARY ──→ COMBAT-WEAPONS
│ │
├──→ COMBAT-JUDICIAL │
│ │
├──→ COMBAT-EVIDENCE ├──→ COMBAT-IMPEACHMENT
│ │
└──→ COMBAT-AUTHORITY┘
│
└──→ APEX-GRAPHML (GNN reasoning)
Build Pipeline
Phase 1: Data Foundation
GENESIS → DATAWEAVE → APEX-MEMORY
"Build the schema, weave the data, establish memory layers"
Phase 2: Intelligence Core
APEX-COGNITION → APEX-GRAPHML → APEX-AUTOMATON
"Self-evolving agents, graph reasoning, autonomous inference"
Phase 3: Visual Foundation
FORGE-RENDERER → FORGE-PHYSICS → FORGE-EFFECTS → APEX-WEBGPU
"SVG/Canvas → forces → effects → GPU acceleration"
Phase 4: Combat Overlays
COMBAT-ADVERSARY → COMBAT-WEAPONS → COMBAT-JUDICIAL →
COMBAT-EVIDENCE → COMBAT-AUTHORITY → COMBAT-IMPEACHMENT
"All 6 litigation intelligence overlays"
Phase 5: Interface & Integration
INTERFACE-* → INTEGRATION-* → APEX-DOCKET
"User controls, engine bridges, court monitoring"
Phase 6: Emergence & Transcendence
EMERGENCE-* → TRANSCENDENCE-* → APEX-VISION
"Self-improvement, 3D/audio, document AI"
Phase 7: Deployment
FORGE-DEPLOY → OMEGA-SINGULARITY-APEX-INDEX
"Package EXE, validate all 33 skills"
Upgrade Paths (How APEX Enhances Existing Skills)
| Existing Skill | APEX Enhancement | Result | |---------------|-----------------|--------| | FORGE-PHYSICS | + APEX-WEBGPU | Force simulation on GPU (100x speedup) | | FORGE-RENDERER | + APEX-WEBGPU | SDF nodes, instanced rendering, 100K+ nodes | | COMBAT-EVIDENCE | + APEX-VISION | Auto-OCR → classify → evidence density map | | COMBAT-AUTHORITY | + APEX-GRAPHML | GNN citation PageRank, legal provision prediction | | COMBAT-ADVERSARY | + APEX-COGNITION | Self-evolving adversary models, prediction refinement | | COMBAT-IMPEACHMENT | + APEX-AUTOMATON | Auto-generate cross-exam from contradiction detection | | EMERGENCE-SELFEVOLVE | + APEX-COGNITION | Agent-guided layout optimization, AOPR loops | | EMERGENCE-PREDICTION | + APEX-GRAPHML | GNN-based adversary behavior prediction | | EMERGENCE-CONVERGENCE | + APEX-MEMORY | Semantic memory aids gap detection | | INTEGRATION-FILING | + APEX-DOCKET | Real-time docket → filing pipeline updates | | INTEGRATION-BRAINS | + APEX-MEMORY | Tri-layer memory unifies 23+ brain DBs | | INTERFACE-TIMELINE | + APEX-DOCKET | Live court events feed timeline | | INTERFACE-HUD | + APEX-DOCKET | Deadline countdowns from court monitoring | | DATAWEAVE | + APEX-VISION | OCR output feeds data pipeline | | TRANSCENDENCE-DIMENSIONAL | + APEX-WEBGPU | WebGPU-accelerated 3D rendering |
Skill File Locations
Primary (Active Skills)
.agents/skills/SINGULARITY-MBP-GENESIS/SKILL.md
.agents/skills/SINGULARITY-MBP-DATAWEAVE/SKILL.md
.agents/skills/SINGULARITY-MBP-FORGE-RENDERER/SKILL.md
.agents/skills/SINGULARITY-MBP-FORGE-PHYSICS/SKILL.md
.agents/skills/SINGULARITY-MBP-FORGE-EFFECTS/SKILL.md
.agents/skills/SINGULARITY-MBP-FORGE-DEPLOY/SKILL.md
.agents/skills/SINGULARITY-MBP-COMBAT-ADVERSARY/SKILL.md
.agents/skills/SINGULARITY-MBP-COMBAT-WEAPONS/SKILL.md
.agents/skills/SINGULARITY-MBP-COMBAT-JUDICIAL/SKILL.md
.agents/skills/SINGULARITY-MBP-COMBAT-EVIDENCE/SKILL.md
.agents/skills/SINGULARITY-MBP-COMBAT-AUTHORITY/SKILL.md
.agents/skills/SINGULARITY-MBP-COMBAT-IMPEACHMENT/SKILL.md
.agents/skills/SINGULARITY-MBP-INTERFACE-CONTROLS/SKILL.md
.agents/skills/SINGULARITY-MBP-INTERFACE-TIMELINE/SKILL.md
.agents/skills/SINGULARITY-MBP-INTERFACE-NARRATIVE/SKILL.md
.agents/skills/SINGULARITY-MBP-INTERFACE-HUD/SKILL.md
.agents/skills/SINGULARITY-MBP-INTEGRATION-ENGINES/SKILL.md
.agents/skills/SINGULARITY-MBP-INTEGRATION-FILING/SKILL.md
.agents/skills/SINGULARITY-MBP-INTEGRATION-BRAINS/SKILL.md
.agents/skills/SINGULARITY-MBP-EMERGENCE-CONVERGENCE/SKILL.md
.agents/skills/SINGULARITY-MBP-EMERGENCE-PREDICTION/SKILL.md
.agents/skills/SINGULARITY-MBP-EMERGENCE-SELFEVOLVE/SKILL.md
.agents/skills/SINGULARITY-MBP-TRANSCENDENCE-SONIC/SKILL.md
.agents/skills/SINGULARITY-MBP-TRANSCENDENCE-DIMENSIONAL/SKILL.md
.agents/skills/SINGULARITY-MBP-APEX-COGNITION/SKILL.md
.agents/skills/SINGULARITY-MBP-APEX-MEMORY/SKILL.md
.agents/skills/SINGULARITY-MBP-APEX-VISION/SKILL.md
.agents/skills/SINGULARITY-MBP-APEX-GRAPHML/SKILL.md
.agents/skills/SINGULARITY-MBP-APEX-WEBGPU/SKILL.md
.agents/skills/SINGULARITY-MBP-APEX-DOCKET/SKILL.md
.agents/skills/SINGULARITY-MBP-APEX-AUTOMATON/SKILL.md
.agents/skills/OMEGA-MBP-INDEX/SKILL.md
.agents/skills/OMEGA-SINGULARITY-APEX-INDEX/SKILL.md
Backup (Insurance Copies)
scripts/skills_backup/SINGULARITY-MBP-*.SKILL.md
scripts/skills_backup/OMEGA-*.SKILL.md
Non-MBP SINGULARITY Skills (12 — Separate Taxonomy)
.agents/skills/SINGULARITY-litigation-warfare/SKILL.md
.agents/skills/SINGULARITY-court-arsenal/SKILL.md
.agents/skills/SINGULARITY-judicial-intelligence/SKILL.md
.agents/skills/SINGULARITY-data-dominion/SKILL.md
.agents/skills/SINGULARITY-system-forge/SKILL.md
.agents/skills/SINGULARITY-agent-nexus/SKILL.md
.agents/skills/SINGULARITY-ai-core/SKILL.md
.agents/skills/SINGULARITY-document-forge/SKILL.md
.agents/skills/SINGULARITY-automation-engine/SKILL.md
.agents/skills/SINGULARITY-code-mastery/SKILL.md
.agents/skills/SINGULARITY-ui-engineering/SKILL.md
.agents/skills/SINGULARITY-product-architecture/SKILL.md
Size Summary
| Tier | Skills | Combined Size | Focus | |------|--------|--------------|-------| | T0 GENESIS | 2 | ~130 KB | Architectural DNA + data fabric | | T1 FORGE | 4 | ~200 KB | Rendering, physics, effects, deployment | | T2 COMBAT | 6 | ~350 KB | Adversary, weapons, judicial, evidence, authority, impeachment | | T3 INTERFACE | 4 | ~180 KB | Controls, timeline, narrative, HUD | | T4 INTEGRATION | 3 | ~120 KB | Engines, filing, brains | | T5 EMERGENCE | 3 | ~120 KB | Convergence, prediction, self-evolution | | T6 TRANSCENDENCE | 2 | ~60 KB | Audio sonification, 3D/VR | | T7 APEX | 7 | ~600 KB | Intelligence: agents, memory, vision, graphs, GPU, docket, inference | | Ω OMEGA | 2 | ~40 KB | Master manifests (legacy + unified) | | TOTAL | 33 | ~1.8 MB | Complete THEMANBEARPIG skill taxonomy |
Evolution History
| Version | Date | Skills | Changes | |---------|------|--------|---------| | 1.0 | 2026-03 | 25 | Original MBP taxonomy (Tiers 0-6 + Omega) | | 2.0 | 2026-03 | 25 | SINGULARITY FORGE — skills upgraded to transcendent tier | | 3.0 | 2026-04 | 33 | APEX evolution — 7 intelligence skills added, OMEGA rewritten |
Anti-Patterns (15 Rules)
- NEVER activate APEX skills without verifying GENESIS + DATAWEAVE are loaded (foundation dependency)
- NEVER run APEX-WEBGPU on systems without WebGPU support — must check
navigator.gpufirst - NEVER persist raw evidence text in APEX-MEMORY localStorage — PII/security risk
- NEVER let APEX-COGNITION agent loops run more than 10 iterations without human checkpoint
- NEVER trust APEX-GRAPHML predictions above 0.85 confidence without manual verification
- NEVER deploy APEX-VISION OCR results without lane classification validation
- NEVER let APEX-DOCKET API calls exceed rate limits (MiCOURT: 100/hr, CourtListener: 1000/day)
- NEVER include APEX-generated statistics in court filings without traceable DB query
- NEVER allow APEX-AUTOMATON to auto-file without human QA review gate
- NEVER mix APEX skill state across different case lanes (contamination risk)
- NEVER delete skill files — archive to 11_ARCHIVES/ only (Rule 1 SACRED)
- NEVER reduce APEX skill depth below 800 lines during updates
- NEVER skip backup copies when creating or modifying APEX skills
- NEVER bypass the SELFEVOLVE optimization loop — let the system learn
- NEVER hardcode day counts — use
(today - date(2025,7,29)).daysdynamically
Performance Budgets
| Operation | Budget | Technique | |-----------|--------|-----------| | APEX skill activation | <100ms | Lazy load, YAML parse only on demand | | Cross-tier dependency resolution | <50ms | Pre-computed dependency graph | | COGNITION agent iteration | <2s per loop | Bounded reasoning with timeout | | MEMORY recall (semantic) | <200ms | LanceDB vector search, pre-warmed | | MEMORY recall (episodic) | <100ms | FTS5 with date index | | VISION OCR pipeline | <5s per page | PaddleOCR GPU / Surya CPU fallback | | GRAPHML prediction | <500ms | Pre-trained embeddings, batch inference | | WEBGPU force tick | <16ms (60fps) | Compute shader, Barnes-Hut on GPU | | DOCKET API poll | <2s per case | Cached, delta-only updates | | AUTOMATON inference chain | <10s per claim | 6-layer with early termination | | Full 33-skill inventory scan | <500ms | Glob + YAML parse | | Manifest reload | <200ms | Incremental, skip unchanged files |
Build Verification Protocol
After any skill creation or modification:
import os, yaml, glob
SKILLS_DIR = r".agents\skills"
EXPECTED_COUNT = 33
MIN_LINES_APEX = 800
MIN_LINES_OTHER = 300
results = []
for skill_dir in sorted(glob.glob(os.path.join(SKILLS_DIR, "*", "SKILL.md"))):
with open(skill_dir, "r", encoding="utf-8") as f:
content = f.read()
# Parse YAML frontmatter
if content.startswith("---"):
end = content.index("---", 3)
meta = yaml.safe_load(content[3:end])
desc_len = len(meta.get("description", ""))
else:
meta = {}
desc_len = 0
lines = len(content.splitlines())
size_kb = len(content.encode("utf-8")) / 1024
skill_name = os.path.basename(os.path.dirname(skill_dir))
is_apex = "APEX" in skill_name
min_lines = MIN_LINES_APEX if is_apex else MIN_LINES_OTHER
results.append({
"skill": skill_name,
"lines": lines,
"size_kb": round(size_kb, 1),
"has_yaml": bool(meta),
"desc_ok": desc_len <= 1024,
"depth_ok": lines >= min_lines,
"status": "✅" if (meta and desc_len <= 1024 and lines >= min_lines) else "❌"
})
print(f"\n{'Skill':<45} {'Lines':>6} {'KB':>8} {'YAML':>5} {'Desc':>5} {'Depth':>6} {'Status':>7}")
print("-" * 90)
for r in results:
print(f"{r['skill']:<45} {r['lines']:>6} {r['size_kb']:>8} {'✅' if r['has_yaml'] else '❌':>5} "
f"{'✅' if r['desc_ok'] else '❌':>5} {'✅' if r['depth_ok'] else '❌':>6} {r['status']:>7}")
ok = sum(1 for r in results if r['status'] == '✅')
print(f"\n{ok}/{len(results)} skills pass quality gates (expected {EXPECTED_COUNT})")
Activation Command Reference
# Activate specific APEX skill
/SINGULARITY-MBP-APEX-COGNITION
/SINGULARITY-MBP-APEX-MEMORY
/SINGULARITY-MBP-APEX-VISION
/SINGULARITY-MBP-APEX-GRAPHML
/SINGULARITY-MBP-APEX-WEBGPU
/SINGULARITY-MBP-APEX-DOCKET
/SINGULARITY-MBP-APEX-AUTOMATON
# Activate full manifest
/OMEGA-SINGULARITY-APEX-INDEX
# Legacy manifest (25 skills only)
/OMEGA-MBP-INDEX
Research Sources (Bleeding-Edge 2025/2026)
| Domain | Key Sources | Applied In | |--------|-----------|-----------| | Self-Evolving Agents | EvoAgentX (2025), AOPR framework, AutoGen critic agents | APEX-COGNITION | | Memory Architecture | A-MEM Zettelkasten (2025), Mem0, tri-layer cognitive models | APEX-MEMORY | | Document AI | PaddleOCR-VL-1.5, Surya OCR, PP-StructureV3 (2025) | APEX-VISION | | Graph Neural Networks | LegalLPP, RulE model, DSHCL contrastive learning (2024-2025) | APEX-GRAPHML | | GPU Rendering | d3-force-webgpu, GraphGPU, WebGPU compute shaders (2024-2025) | APEX-WEBGPU | | Court Monitoring | MiCOURT REST API, CourtListener webhooks, PACER API (2025) | APEX-DOCKET | | Legal Reasoning | NexLaw analytics, authority chain scoring, IRAC automation (2025) | APEX-AUTOMATON |
OMEGA-SINGULARITY-APEX-INDEX v3.0 — Master manifest for 33 THEMANBEARPIG skills Evolved from 25→33 skills with TIER 7 APEX intelligence layer Zero API dependency — all local inference, all local storage
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