macro-idea-generation

macro-idea-generation is a skill for Claude Code from agentii-ai/agentii-investment-intelligence. It costs 44 tokens per session (1,902 once invoked), scanned A, original, Apache-2.0.

A finance research tool that turns a broad economic view into possible stock and sector ideas. It can also find international companies through ADRs, which are exchange-traded certificates representing shares in non-US companies.

In plain words
What is it for?
Use it to map an economic regime to sectors and stocks, generate international equity ideas, identify macro catalysts, and filter ADRs by trading liquidity.
Why use it?
It connects economic conditions to specific investment areas, reducing the manual work of moving from a macro view to sectors and individual companies. It also structures possible catalysts and cross-border ideas.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the idea-generation plugin — 5 skills shipped together

Good fit Use it to map an economic regime to sectors and stocks, generate international equity ideas, identify macro catalysts, and filter ADRs by trading liquidity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentii-ai/agentii-investment-intelligence/macro-idea-generation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add agentii-ai/agentii-investment-intelligence --skill macro-idea-generation
Clone the repo
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence

Made for: Claude Code.

Or install idea-generation, the plugin that ships this one along with the rest of its 5 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for macro-idea-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/macro-idea-generation/github.svg)](https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/macro-idea-generation)
Your own site
<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/macro-idea-generation"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/macro-idea-generation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for macro-idea-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/macro-idea-generation"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/macro-idea-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,902 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.01902
Opus 5 $0.00022 $0.00951
Sonnet 5 $0.00009 $0.00380
Haiku 4.5 $0.00004 $0.00190

Measured 7d ago against content hash dc9f8435eef5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

macro-idea-generation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/vertical-plugins/idea-generation/skills/agentii/macro-idea-generation/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Methodology fused from professional trading and investment frameworks; all text is an original paraphrase.

Defaults

Parameter Default Value Rationale
macro_signal_lag_weeks 4-8 Macro signals lead equity moves by 4-8 weeks
sector_mapping_depth 3 Three-tier cascade: regime → sector → stock
adr_liquidity_min $10M ADTV Minimum ADR liquidity for institutional execution

Preflight

Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.

Data Source Priority

  1. Macro regime input — from macro-analysis skill (leading indicators, portfolio bias)
  2. Sector data — sector-level performance, rotation signals from market data tools
  3. ADR data — international equity access via ADRs from market data
  4. Strategy frameworks — search_investment_strategies(domain=macro) + search_by_analogue(market_regime=...)

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Branch (d) Simple Lookup from contracts/retrieval.md: macro regime input from upstream skill. Sector and market data from data tools. Strategy frameworks and historical analogues via MCP knowledge tools. No unstructured document retrieval.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

This skill translates macroeconomic views into concrete trade ideas via a three-tier cascade: Macro Regime → Sector Preference → Stock Selection. Macro tells you where to look; sectors what to look at; stocks what to trade.

Detailed methodology: regime-to-sector mapping matrix, ISM sector drilling protocol, inter-market confirmation framework, ADR screening and currency overlay, and macro risk invalidation rules are in references/macro-ideas-methodology.md.

Core insight: The "consensus disconnect" applies at the macro level — the market prices one regime, leading indicators suggest another emerging. This gap is the macro edge. Macro signals lead equity moves by 4-8 weeks.

Read the full file on GitHub · 136 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 136 lines · 44 tokens per session scan A dc9f8435eef5

Subscribe to this mod's changes

macro-idea-generation is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 1,902 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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