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@ElmatadorZ/MoneyAtlas-ClaudeSkill-Agent

Claude skill for market scenario analysis

Money Atlas is a Claude Skill that structures financial questions into first-principle, system-level, and smart-money analysis. It combines a skill definition with Python agents and engines for macro, SMC, risk, sentiment, and scenario mapping.

54 starsβ€’13 forksβ€’Pythonβ€’Updated 1mo ago
Who it's for

Builders who want Claude to reason about markets with scenario maps instead of single price calls.

What it delivers

You can turn a market question into structured scenarios, risks, and invalidation points before deciding what to do.

What it does

Genesis Protocol reasoning

Breaks analysis into first principles, system thinking from micro to macro, and a bias check through AI Fluency 4D.

SMC layer mapping

Maps price action into accumulation, expansion, decision, distribution, and exit-liquidity phases.

Multi-agent analysis layer

Uses specialist agents for macro, risk, sentiment, skepticism, strategy, and orchestration.

Light and full output modes

Supports quick reads for single assets and deeper reports with situation maps, scenarios, and decision frameworks.

Skill validation and tests

Includes `tools/validate_skill.py` and pytest coverage for the skill contract and reasoning engines.

How to get it

  1. 1For single-asset questions and fast reads.
    πŸ“ MARKET STRUCTURE INSIGHT
    [SMC layer + price context]
    
    πŸ“ KEY RISK
    [What breaks the thesis]
    
    πŸ“ STRATEGIC TAKEAWAY
    [1-2 sentence actionable insight]
  2. 2Two things are checked on every push, and you can run both locally
    pip install pytest pyyaml
    
    python tools/validate_skill.py   # frontmatter, license, and safety structure intact
    python -m pytest -q              # unit tests over the reasoning engines + skill contract

README

Money Atlas Intelligence OS

Claude Skill (Agent) β€” Financial Market Strategic Intelligence

Version: 2.0
Author: Bunyawat Dechanon (ElmatadorZ)
Brand: Money Atlas / Alternative Slowbar
Type: Custom Skill (SKILL.md format)


What This Is

A skill that transforms financial market questions into structured, scenario-based intelligence.

Not a prediction engine.
Not a signal bot.
A thinking system β€” built to reason the way a disciplined analyst does.

When you ask about BTC, gold, macro, forex, or any asset β€” this skill activates a multi-layer reasoning pipeline that separates what's actually happening from what the market narrative wants you to believe.


Core Engine

Genesis Protocol β€” 3-Step Thinking Pipeline

Step 1: First Principle Codex Deconstruct the market from root causes β€” not price action alone.

  • What is actually happening?
  • Why is price/macro moving this way?
  • What is the structural driver?
  • Where is the asymmetric opportunity?
  • What happens next under each scenario?

Step 2: System Thinking β€” Micro β†’ Macro

  • Micro: Asset-specific technicals, on-chain data, positioning
  • Meso: Sector rotation, correlated assets, sentiment
  • Macro: Fed, DXY, liquidity cycle, geopolitics
  • Meta: What narrative is the market constructing β€” and who benefits?

Step 3: AI Fluency 4D

  • Delegation β€” Pattern recognition across data
  • Description β€” Convert market noise β†’ structured signal
  • Discernment β€” Question bias, timeframe, missing information
  • Diligence β€” Human makes the final decision. Always.

SMC Layer β€” Smart Money Cycle Map

Identifies where price is in the institutional cycle:

LayerPhaseWhat's Happening
L1AccumulationQuiet buying, engineered fake breakdowns
L2ExpansionBreakout, momentum building
L3Decision ZoneHigh-stakes inflection point
L4DistributionQuiet selling, engineered fake breakouts
L5Exit LiquidityRetail buys tops, institutions exit

Every analysis maps the current layer + next probable move + invalidation condition.


Output Modes

LIGHT MODE β€” Quick Insight

For single-asset questions and fast reads.

πŸ“ MARKET STRUCTURE INSIGHT
[SMC layer + price context]

πŸ“ KEY RISK
[What breaks the thesis]

πŸ“ STRATEGIC TAKEAWAY
[1-2 sentence actionable insight]

FULL MODE β€” Deep Analysis

For investment decisions, macro analysis, strategy, or "should I" questions.

πŸ“ SITUATION MAP
πŸ“ FIRST PRINCIPLE BREAKDOWN
πŸ“ SYSTEM MAP (Macro β†’ Liquidity β†’ Asset β†’ Price)
πŸ“ SMC LAYER MAP
πŸ“ NARRATIVE INTELLIGENCE
πŸ“ SCENARIOS
   πŸ‚ Bull: [entry zone | target | condition]
   🐻 Bear: [trigger | target | condition]
   βš–οΈ Base: [most probable path]
πŸ“ DECISION FRAMEWORK
πŸ“ RISK & FAILURE MODE
   CONFIDENCE: [X%] | KEY UNKNOWNS: [list]

Mode is auto-detected from question context.
User can override: type FULL or LIGHT at any time.


Trigger Topics

This skill activates when you ask about:

  • Crypto: BTC, ETH, altcoins, on-chain data
  • Commodities: Gold, silver, oil, soft commodities
  • Macro: Fed policy, interest rates, inflation, DXY, liquidity cycles
  • Equities: Stocks, indices, sector rotation
  • Forex: Currency pairs, emerging markets
  • Geopolitics: Events affecting market structure
  • Strategy: Portfolio allocation, risk management, entry/exit frameworks

What This Skill Does NOT Do

  • Give single-point price predictions without scenarios
  • Express certainty without evidence
  • Omit the risk or invalidation condition
  • Tell you what to do β€” it gives you a framework to decide

If output violates any of these β†’ the system flags ⚠️ INSUFFICIENT EDGE and re-evaluates before responding.


Architecture

Input (market question)
β”‚
β”œβ”€β”€ Genesis Protocol
β”‚   β”œβ”€β”€ First Principle Codex (root cause decomposition)
β”‚   β”œβ”€β”€ System Thinking (micro β†’ macro chain)
β”‚   └── AI Fluency 4D (bias check + discernment)
β”‚
β”œβ”€β”€ SMC Layer Engine
β”‚   β”œβ”€β”€ Market structure mapping
β”‚   β”œβ”€β”€ Liquidity zone identification
β”‚   └── Smart money vs. retail narrative separation
β”‚
β”œβ”€β”€ Scenario Engine
β”‚   β”œβ”€β”€ Bull / Bear / Base case
β”‚   β”œβ”€β”€ Entry-exit zones
β”‚   └── Invalidation conditions
β”‚
└── Output (LIGHT or FULL mode)

File Structure

money-atlas-intelligence-os/
β”œβ”€β”€ SKILL.md                    ← Claude skill definition (main entry point)
β”œβ”€β”€ skill_config.json           ← Skill metadata and trigger config
β”œβ”€β”€ architecture.md             ← System architecture overview
β”œβ”€β”€ system_prompt.txt           ← Session boot prompt
β”œβ”€β”€ full_mode.txt               ← Full mode output spec
β”œβ”€β”€ light_mode.txt              ← Light mode output spec
β”‚
β”œβ”€β”€ core/                       ← Genesis Protocol engine
β”‚   β”œβ”€β”€ genesis_core.py
β”‚   β”œβ”€β”€ ai_fluency_4d.py
β”‚   β”œβ”€β”€ discernment_engine.py
β”‚   └── decision_engine.py
β”‚
β”œβ”€β”€ agents/                     ← Specialist agent layer
β”‚   β”œβ”€β”€ orchestrator.py
β”‚   β”œβ”€β”€ analyst_agent.py
β”‚   β”œβ”€β”€ macro_agent.py
β”‚   β”œβ”€β”€ smc_agent.py
β”‚   β”œβ”€β”€ risk_agent.py
β”‚   β”œβ”€β”€ sentiment_agent.py
β”‚   β”œβ”€β”€ skeptic_agent.py
β”‚   └── strategist_agent.py
β”‚
β”œβ”€β”€ smc/                        ← Smart Money Concept engine
β”œβ”€β”€ intelligence/               ← Alpha, macro, geopolitics engines
β”œβ”€β”€ strategy/                   ← Scenario + asymmetric opportunity engine
β”œβ”€β”€ execution/                  ← Signal, risk, trade logging
β”œβ”€β”€ orchestrator/               ← Multi-agent coordination
β”œβ”€β”€ cli/                        ← Command-line runners
β”‚
β”œβ”€β”€ tests/                      ← unit tests for the reasoning engines + skill contract
β”œβ”€β”€ examples/                   ← worked inputβ†’output examples + runnable demo
β”‚   └── worked/
└── tools/validate_skill.py     ← installability + integrity checker (run in CI)

How to Install (Claude Custom Skill)

  1. Clone or download this repository
  2. Place the money-atlas-intelligence-os/ folder in your Claude skills directory
  3. The skill activates automatically when Claude detects relevant financial market questions
  4. Or call it explicitly by referencing the skill name in your system prompt

The skill entry point is SKILL.md (the Anthropic standard filename). The reasoning is self-contained in that file and needs no tools to run β€” see metadata.compatibility in its frontmatter. The Python modules are an optional execution layer.


Verifying it before you trust it

Two things are checked on every push, and you can run both locally:

pip install pytest pyyaml

python tools/validate_skill.py   # frontmatter, license, and safety structure intact
python -m pytest -q              # unit tests over the reasoning engines + skill contract

The tests are not decorative. They pin the gates that would cost money if they drifted β€” a BUY signal only on high-confidence accumulation, risk raised on distribution, First Principle truths kept separate from inference β€” and the skill's own promises: every scenario carries an invalidation condition, and the skill abstains rather than invent a price when it has no data. See examples/worked/ for what the output looks like in each case, including the insufficient-data case where the correct answer is to decline.


Non-Negotiable Constraints

Every output must include:

  • Multiple scenarios β€” no single prediction
  • Explicit uncertainty β€” confidence level + key unknowns
  • Invalidation point β€” what breaks the entire analysis
  • Human decision primacy β€” the skill advises, the human decides

Violation of any constraint β†’ output is invalid β†’ re-evaluate.


Part of the Skynet Skill Ecosystem

This skill operates within the broader Skynet Elite Commander meta-intelligence system:

SkillDomain
skynet-elite-commanderMeta-cognition OS β€” routes all domains
money-atlas-intelligence-osFinancial markets, macro, trading
alternative-coffee-intelligenceCoffee science and roastery operations
genesis-mind-strategic-intelligenceStrategic thinking, business, philosophy
first-principle-codex-osAnti-hallucination cognitive base layer

⚠️ Not financial advice

This system analyses markets. It does not advise. Its output is structured scenarios with explicit uncertainty β€” an analytical instrument, not a recommendation, and it can be wrong. You are solely responsible for your own decisions. Consult a licensed financial adviser before acting on any output, and never deploy it against capital you cannot afford to lose. See NOTICE and the warranty disclaimer in the LICENSE.


License

Apache License 2.0 β€” OSI-approved, with an express patent grant. Free to use, modify, and redistribute, including commercially at any revenue. Keep the licence and NOTICE, and state any changed files.

Attribution is requested (not required beyond NOTICE): Built on Money Atlas Intelligence OS by Bunyawat Dechanon (ElmatadorZ)

Apache Β§6 grants no rights to the name: a derivative that removes the uncertainty disclosure, the scenario structure, or the refusal to present analysis as advice must be renamed.

(Earlier releases used the custom Open Cognitive License v1.0 with a 2% clause above $10M/year; it was replaced to remove adoption friction. Prior text is in the git history.)


Author

Bunyawat Dechanon
Independent Builder & Architect
Brand: Alternative Slowbar / Money Atlas
Location: Thailand

"The market is always telling a story. This skill helps you read who wrote it."

Files in the repo

Repository payloadβ€’45 top-level entries
  • .github
  • agents
  • analyzer
  • backtest
  • cli
  • cognition
  • core
  • data
  • data_pipeline
  • evolution
  • examples
  • execution
  • integration
  • intelligence
  • memory
  • orchestrator
  • realtime
  • signals
  • smc
  • strategic
  • strategy
  • tests
  • tools
  • .gitignore
  • adapter.py
  • architecture.md
  • btc_analysis.py
  • CITATION.cff
  • CODE_OF_CONDUCT.md
  • data_feed.py
  • execution_engine.py
  • first_principle_codex.py
  • full_mode.txt
  • LICENSE
  • light_mode.txt
  • main.py
  • memory_engine.py
  • memory.json
  • NOTICE
  • README.md
  • SECURITY.md
  • session_boot.txt
  • skill_config.json
  • SKILL.md
  • system_prompt.txt

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