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Currency Analysis

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agentii-ai
currency-analysis

Currency analysis, FX rate forecast, carry trade analysis, purchasing power parity, central bank divergence, currency regime, dollar index DXY, forex strategy, exchange rate modeling, capital flow analysis, currency crisis, peg defense

Overview

Publisheragentii-ai
Repositoryagentii-investment-intelligence
Skill namecurrency-analysis
Stars
207
Forks
16
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentii-ai on GitHub. Read the source before you install it.

Installation

Install the Currency Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/currency-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git /tmp/agentii-investment-intelligence
mkdir -p .claude/skills
cp -r /tmp/agentii-investment-intelligence/plugins/vertical-plugins/macro-strategy/skills/agentii/currency-analysis .claude/skills/currency-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Currency Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Currency Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Currency Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Defaults

ParameterDefault ValueRationale
lookback_quarters8Covers multi-year currency cycles
key_indicatorsrate_differential, current_account, PPP, reservesStandard FX valuation framework

Preflight

Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).

Data Source Priority

  1. Knowledge entries (L1 currency frameworks) -> 2. search_by_analogue(event_type: currency-peg-break) -> 3. Real-time data

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Query knowledge entries for currency frameworks; query search_by_analogue for currency crises; supplement with real-time data.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

  1. Currency Regime Classification — floating/managed float/pegged/dollarized
  2. Fundamental Drivers — rate differential, current account, PPP, terms of trade
  3. Framework Application — carry trade, PPP valuation, central bank divergence
  4. Analogue Retrieval — past currency crises and regime breaks

Output File

{ticker}/{YYYY-MM-DD_HHMM}_currency-analysis_{affix}.md

Output Structure

  1. Executive Summary — key findings in 2-3 sentences
  2. Core Analysis — applied frameworks with specific evidence
  3. Quantitative Indicators — key metrics and benchmarks
  4. Historical Analogues — matched cases with /v/cases/ citations
  5. Risk Assessment — key risk factors and mitigants
  6. Coverage Gaps — data limitations and degraded flags Currency Regime Classification 3. Fundamental Drivers 4. Central Bank Divergence 5. Historical Currency Crises 6. Scenarios

Error Handling

ErrorFallback
No frameworksProceed with standard FX indicators; flag degraded

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

  • references/knowledge-frameworks.md
  • contracts/citation-and-memory.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Currency Analysis AI skill do?

Currency analysis, FX rate forecast, carry trade analysis, purchasing power parity, central bank divergence, currency regime, dollar index DXY, forex strategy, exchange rate modeling, capital flow analysis, currency crisis, peg defense

Why use Currency Analysis on TypingMind?

Because you install it once and use it with any model. Currency Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Currency Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/currency-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Currency Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Currency Analysis?

As many as you like. As long as a model supports skills, you can use Currency Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Currency Analysis AI skill free?

Yes. It is published on GitHub by agentii-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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