# Third Brain V5 Skills

Interaction Dashboard — LLM × Obsidian Knowledge System

14
Total Skills
53KB
Skills Size (Optimized)
$9-15
Weekly Token Cost
211
Wiki Sources
Skills
Pipeline
Cost Calculator
Models

## Skills Overview

wiki-ingest
Ingest sources into persistent interlinked wiki
knowledge core
daily-okr
Daily knowledge compound closed loop — 7 KR
workflow stop-doing-list
cognitive-compile
Deep learning 7-step framework
knowledge deep
behavior-design
Goal → habits → triggers → SOPs → review
behavior HAS H1-H5
creativity-engine
Combinatorial ideation + minimum experiments
creativity lego-blocks
session-learn
Extract knowledge from sessions — 7 signals
knowledge closure
verify-before-claim
No claims without fresh verification
quality EV-thinking
wiki-lint
Health-check wiki across 8 dimensions
quality health
knowledge-ops
Multi-layer knowledge management + RAG
knowledge vector
deep-research
Multi-source research with confidence standards
knowledge deep
project-flow-ops
Triage, plan, track, review across projects
workflow ops
harness-engineering
Agent runtime infrastructure + GAN pattern
safety closed-loop
context-manager
Token budgeting + prompt assembly
optimization tokenmaxxing
startup-evaluation
24-step disciplined entrepreneurship framework
business MIT

## Knowledge Pipeline Flow

📥 External Sources
→
🔍 wiki-ingest
→
🧠 cognitive-compile
→
📝 session-learn
→
✅ verify-before-claim
→
📊 wiki-lint

### Pipeline Steps with Token Costs

📥
Ingest Sources
Parse PDFs, articles, videos → wiki pages
$0.05-0.15
per source (Sonnet)
🧠
Cognitive Compile
7-step deep analysis → judgments
$3.00-7.50
per compile (Opus)
📝
Session Learn
Extract 7 knowledge signals + closure
$0.15-0.45
per session (Sonnet)
🔍
Deep Research
Multi-source synthesis with citations
$4.50-15.00
per research (Opus)
✅
Verify Before Claim
Gate function + expected value check
~$0.01
per check (Haiku)
📊
Wiki Lint
8-dimension health check
$0.01-0.03
per lint (Haiku)

## Token Cost Calculator

### Estimate Pipeline Cost

Sources to ingest:
Avg tokens per source:
Cognitive compiles:
Deep research sessions:
$15.00
Opus Input/MTok
$3.00
Sonnet Input/MTok
$0.80
Haiku Input/MTok

## Model Pricing (Latest)

Model | Input/MTok | Output/MTok | Context Window | Best For
--- | --- | --- | --- | ---
Claude Opus 4.6 | $15.00 | $75.00 | 200K | Deep analysis, research, complex tasks
Claude Sonnet 4.6 | $3.00 | $15.00 | 200K | Daily workflows, ingest, session-learn
Claude Haiku 3.5 | $0.80 | $4.00 | 200K | Lint, verify, simple tasks
GPT-4o | $5.00 | $15.00 | 128K | Alternative for research
GPT-4o-mini | $0.15 | $0.60 | 128K | Budget alternative
Gemini 1.5 Pro | $3.50 | $10.50 | 1M | Long context tasks

### Token Efficiency Tips

Concrete prompts -60% tokens
Cache prompt prefix -90% latency
Summarize large outputs -70% tokens
Use Haiku for simple tasks -80% cost
Tokenmaxxing for research 3-5x quality

Third Brain V5 Skills — Knowledge Compounding System

14 Skills • Karpathy LLM OS Compatible • Token Optimized

GitHub • Documentation • Changelog