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…

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Macro Regime

skills CLI
$ npx skills add agentii-ai/agentii-investment-intelligence --skill macro-regime -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentii-ai/agentii-investment-intelligence macro-regime --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/macro-strategy/skills/agentii/macro-regime .claude/skills/macro-regime && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
macro-regime
GitHub stars
207
Token cost
~923 tokens
SKILL.md length
297 words
Files
3 (incl. references)
Skills in repo
79
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 3 steps: Knowledge entries FIRST — query… → Historical analogues SECOND — query… → Real-time data LAST — supplemental only
  • Business, Finance & HR work in your project
  • SKILL.md covers Defaults, Preflight, Data Source Priority… and Methodology, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Macro Regime is an agent skill from agentii-ai/agentii-investment-intelligence. 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

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/knowledge-frameworks.md` and `references/modes.md`).

It sits in Business, Finance & HR. The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “/macro-regime”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Macro Regime loads about 923 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 297 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~923
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 297 words, ~923 tokens.

Download SKILL.mdSave it as .claude/skills/macro-regime/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
macro-regime
description
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
market_data_stage
early
multi_ticker_semantics
single_target
temporal_scope.default_quarters
8
temporal_scope.max_quarters
20
temporal_scope.description
8 quarters (2yr) default lookback to capture cycle inflection points; max 20 for long-cycle detection.
retrieval_scope
structured_only
min_tool_diversity
3
parameter_free
false

Defaults

ParameterDefault ValueRationale
lookback_quarters82yr captures cycle inflection while remaining responsive
regime_indicatorsyield_curve, credit_spreads, PMI, VIX, fed_postureStandard macro regime detection set
probability_weightingbear/base/bullThree-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)

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

Methodology

Retrieval Scope

structured_only

Retrieval Strategy
  1. Query knowledge entries for L1 frameworks via search_knowledge_entries
  2. Query search_by_analogue for historical regime precedents
  3. Supplement with real-time data
Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

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

Output File

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

Output Structure

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

Error Handling

ErrorFallback
No L1 frameworksProceed with standard indicators; flag degraded
search_by_analogue emptyNote no analogue found; do not fabricate
Real-time quote unavailableUse 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

© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/vertical-plugins/macro-strategy/skills/agentii/macro-regime of agentii-ai/agentii-investment-intelligence.

  • SKILL.md
  • references/knowledge-frameworks.md
  • references/modes.md

Open the folder on GitHubat commit 86980e1

Compare with similar skills

Macro Regime next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Macro Regime compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Macro Regime this skillagentii-ai/agentii-investment-intelligence207—~923Automated safety check: PassApache-2.0
Technical Analysttradermonty/claude-trading-skills3k4 repos~4.6kAutomated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Macro Regime

What does Macro Regime do?

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…. Macro Regime is an agent skill from agentii-ai/agentii-investment-intelligence.

When should I use Macro Regime?

Macro Regime fits situations like: business, Finance & HR work in your project.

How do I install Macro Regime in Claude Code?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill macro-regime -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/macro-strategy/skills/agentii/macro-regime in agentii-ai/agentii-investment-intelligence) into .claude/skills/macro-regime in your project. Claude Code loads it when a task matches its description.

How do I install Macro Regime in Codex?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill macro-regime -a codex`. Or copy the skill folder (plugins/vertical-plugins/macro-strategy/skills/agentii/macro-regime in agentii-ai/agentii-investment-intelligence) into .agents/skills/macro-regime in your project. Codex loads it when a task matches its description.

Can I use Macro Regime in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill macro-regime -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/macro-regime, .gemini/skills/macro-regime, .github/skills/macro-regime and .opencode/skills/macro-regime in your project.

What does Macro Regime need to run?

SKILL.md names no scripts, command-line tools or credentials: Macro Regime is instructions for the agent only.

Does Macro Regime access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Macro Regime safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Macro Regime use?

Macro Regime is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Macro Regime use?

About 923 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 389 tokens, read only when the agent opens those files.

What are the alternatives to Macro Regime?

Skills that share tags, products or a category with Macro Regime: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Macro Regime?

agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.

Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.