Macro Regime

Community

agentii-ai

macro-regime

Macro regime analysis, bull bear market detection, business cycle analysis, macro environment assessment, interest rate cycle, yield curve analysis, monetary policy, fiscal policy, global macro, central bank posture, credit cycle, recession probability, expansion regime, macro regime shift, stagflation detection

Overview

Publisher	agentii-ai
Repository	`agentii-investment-intelligence`
Skill name	`macro-regime`
Stars	207
Forks	16
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

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 Macro Regime AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
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/macro-regime
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/macro-regime

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/macro-regime .claude/skills/macro-regime

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Macro Regime 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 Macro Regime 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 Macro Regime 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

Parameter	Default Value	Rationale
lookback_quarters	8	2yr captures cycle inflection while remaining responsive
regime_indicators	yield_curve, credit_spreads, PMI, VIX, fed_posture	Standard macro regime detection set
probability_weighting	bear/base/bull	Three-scenario framework per institutional standard

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 (mandatory order)

Knowledge entries FIRST — query gold.knowledge_entries for L1 regime frameworks
Historical analogues SECOND — query search_by_analogue(market_regime) for matching cases
Real-time data LAST — supplemental only

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Query knowledge entries for L1 frameworks via search_knowledge_entries
Query search_by_analogue for historical regime precedents
Supplement with real-time data

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

Regime Detection — classify current macro environment using yield curve, credit spreads, PMI, VIX, Fed posture
Framework Application — apply relevant L1 framework from references/knowledge-frameworks.md
Analogue Retrieval — query search_by_analogue(market_regime) for historical precedents
Probability Weighting — Bear/Base/Bull scenarios with transition catalysts

Output File

{ticker}/{YYYY-MM-DD_HHMM}_macro-regime_{affix}.md

Output Structure

Executive Summary — current regime with probability weights
Regime Indicators — yield curve, credit spreads, PMI, VIX with readings
Framework Analysis — applied L1 frameworks with evidence
Historical Analogues — matched cases with /v/cases/ citations
Scenario Matrix — Bear/Base/Bull with catalysts
Risk Factors and Coverage Gaps

Error Handling

Error	Fallback
No L1 frameworks	Proceed with standard indicators; flag degraded
search_by_analogue empty	Note no analogue found; do not fabricate
Real-time quote unavailable	Use last-known values with staleness flag

Memory Load

Load prior context before retrieval. See contracts/memory-load.md.

Snapshot

Post-session synthesis. See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs for cited frameworks and cases.

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 Macro Regime AI skill do?

Why use Macro Regime on TypingMind?

Because you install it once and use it with any model. Macro Regime 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 Macro Regime 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/macro-regime. 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 Macro Regime?

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 Macro Regime?

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

Is the Macro Regime 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Defaults

Preflight

Data Source Priority (mandatory order)

Methodology

Retrieval Scope

Retrieval Strategy

Temporal Scope

Tool Allowlist

Protocol

Output File

Output Structure

Error Handling

Memory Load

Snapshot

Final Summary (TUI)

References

Bundled files

Frequently asked questions

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