Revops Revenue Planning
swan-gtm/gtm-skills
Annual and quarterly revenue plan construction, top-down vs bottoms-up reconciliation, plan versioning, stretch goal handling, and FP&A-RevOps collaboration for B2B revenue teams.
Framework for central bank policy, exchange rate forecasting, geopolitical risk and capital flows that produces macro factor signals to guide cross-asset allocation.
$ npx skills add HKUDS/Vibe-Trading --skill global-macro -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading global-macro --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/global-macro .claude/skills/global-macro && rm -rf skills-srcUse ~/.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/
Install the "global-macro" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/global-macro into .claude/skills/global-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "global-macro", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/global-macroType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/Vibe-Trading --skill global-macro -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading global-macro --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/global-macro .agents/skills/global-macro && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "global-macro" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/global-macro into .agents/skills/global-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "global-macro", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill global-macro -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading global-macro --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/global-macro .cursor/skills/global-macro && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "global-macro" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/global-macro into .cursor/skills/global-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "global-macro", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/Vibe-Trading.git --path agent/src/skills/global-macro--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/Vibe-Trading --skill global-macro -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading global-macro --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/global-macro .gemini/skills/global-macro && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "global-macro" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/global-macro into .gemini/skills/global-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "global-macro", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/Vibe-Trading global-macroInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/Vibe-Trading --skill global-macro -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/global-macro .github/skills/global-macro && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "global-macro" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/global-macro into .github/skills/global-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "global-macro", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill global-macro -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading global-macro --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/global-macro .opencode/skills/global-macro && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "global-macro" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/global-macro into .opencode/skills/global-macro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "global-macro", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
global-macroFramework for central bank policy, exchange rate forecasting, geopolitical risk and capital flows that produces macro factor signals to guide cross-asset allocation.
The skill reasons that macro cycles set the main direction of asset classes and leaves micro-level timing to other skills. It traces the central bank transmission chain from policy rates through the government bond curve and credit spreads to corporate earnings and equity valuation, then lists indicators, forward signals and lagging confirmations for the Federal Reserve, the ECB and the Bank of Japan. Some empirical notes link Fed hiking and cutting cycles to China A-shares, with the caution that cuts do not guarantee gains.
Exchange rate forecasting is organized in three layers: purchasing power parity as a long-term anchor, interest parity for medium-term direction and the BEER model for equilibrium estimates, plus a USD/CNY checklist built around the China-US 10-year spread, net FX settlement and the PBOC fixing. A geopolitical section proposes a quantitative proxy for the GPR index. The output is a set of quantifiable macro factor signals.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b1f6ce7. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Global Macro Analysis loads about 1.9k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 707 words of instructions outside code blocks.
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.
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.
The full file from HKUDS/Vibe-Trading at commit b1f6ce7, republished under its MIT licence (© HKUDS). 707 words, ~1,937 tokens.
.claude/skills/global-macro/SKILL.md (or your agent's skills folder).Builds a macro analysis framework from three dimensions: central-bank policy, exchange-rate regimes, and geopolitics. Outputs quantifiable macro factor signals to drive cross-asset allocation decisions. Core logic: macro cycles determine major asset direction, while micro-level timing is delegated to other skills.
Policy-rate changes → government bond yield curve → credit spreads → financing costs for the real economy → corporate earnings → equity valuationMonitoring framework for the three major central banks:
| Central Bank | Core Indicators | Forward Signals | Lagging Confirmation |
|---|---|---|---|
| Federal Reserve (Fed) | FFR, dot plot, SEP | CME FedWatch probabilities | nonfarm payrolls / CPI / PCE |
| European Central Bank (ECB) | Main refinancing rate | Eurozone PMI, HICP | credit growth |
| Bank of Japan (BOJ) | YCC band, policy rate | JPY exchange rate, JGB yields | core CPI |
Historical transmission of Fed hiking / cutting cycles to China A-shares (empirical):
Three-layer model:
| Model | Applicable Horizon | Core Variables | Accuracy |
|---|---|---|---|
| Purchasing Power Parity (PPP) | 3-5 years | CPI gap between two countries | Long-term anchor |
| Interest Parity (UIP/CIP) | 3-12 months | rate differential + forward premium/discount | Medium-term direction |
| BEER model | 1-3 years | terms of trade + net foreign inflows + productivity | Equilibrium estimate |
USD/CNY practical checklist:
Quantitative approach (proxy for the GPR index):
# Geopolitical risk proxy indicators
risk_indicators = {
"vix": "Fear index > 25 = high risk",
"gold_oil_ratio": "Gold / oil > 25 = rising risk aversion",
"usd_index": "DXY jump > 2% / week = capital flowing back to USD",
"credit_spread": "IG spread > 150bp = credit tightening",
"em_spread": "EMBI spread widening > 50bp / month = emerging-market stress"
}Typical asset impacts of geopolitical events (historical averages):
Key data sources:
Northbound flow signal rules (China A-share practice):
| Signal | Condition | Meaning |
|---|---|---|
| Strong buy | Net buying for 5 consecutive days and cumulative amount > 20 billion RMB | Foreign investors are building positions trendwise |
| Weak buy | Single-day net buying > 8 billion RMB | Short-term sentiment is bullish |
| Warning | Net selling for 5 consecutive days and cumulative amount > 15 billion RMB | Foreign investors are reducing positions trendwise |
| Neutral | Daily net flow within ±3 billion RMB | No directional signal |
Four-stage dollar cycle model:
Strong-dollar phase (DXY rising) → capital outflows from emerging markets → EM currency depreciation → EM equities and bonds both sell off
Weak-dollar phase (DXY falling) → capital flows back into EM → EM currency appreciation → EM assets outperform developed marketsPractical mapping:
macro_factors = {
"fed_policy": +1, # Hiking pause, dovish tilt
"cny_pressure": -1, # RMB depreciation pressure
"geopolitical": 0, # Neutral geopolitical risk
"northbound_flow": +2, # Persistent net northbound buying
"usd_cycle": -1, # Stronger USD
}
# Composite score = sum(values) / len(values) = +0.2 → neutral to mildly bullish## Macro Analysis Report
### Cycle Positioning
- Federal Reserve: [late hiking / pause / early cutting]
- Dollar cycle: [strong / range-bound / weak]
- China monetary policy: [easing / neutral / tightening]
### Factor Scores (-2 ~ +2)
| Factor | Score | Basis |
|------|------|------|
| Central bank policy | +1 | Fed paused hiking and the market expects cuts this year |
| FX pressure | -1 | USD/CNY broke above 7.2 and FX settlement turned into deficit |
| Capital flows | +2 | Northbound net buying exceeded 20 billion RMB continuously |
### Asset Allocation Recommendations
- China A-shares: [overweight / neutral / underweight] — rationale
- Hong Kong stocks: [overweight / neutral / underweight] — rationale
- Gold: [overweight / neutral / underweight] — rationale
- US Treasuries: [overweight / neutral / underweight] — rationale
### Risk Warnings
- [specific risk events and potential impacts]technical-basic or volatility© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in agent/src/skills/global-macro of HKUDS/Vibe-Trading.
Open the folder on GitHubat commit b1f6ce7
Global Macro Analysis 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Global Macro Analysis this skillHKUDS/Vibe-Trading | 35k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Revops Revenue Planningswan-gtm/gtm-skills | 172 | — | ~7.2k | Automated safety check: Pass | MIT | |
| FRED Macro Time Serieskansoku-trade/kansoku | 328 | — | ~1.1k | Automated safety check: Notes | Custom licence | |
| Financial Analysis AgentLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Fin Modelingasgard-ai-platform/skills | 242 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Strategy Performance Reporttradesdontlie/tradingview-mcp | 6.8k | 2 repos | ~591 | Automated safety check: Pass | Custom licence |
swan-gtm/gtm-skills
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HKUDS/Vibe-Trading
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Categories
Framework for central bank policy, exchange rate forecasting, geopolitical risk and capital flows that produces macro factor signals to guide cross-asset allocation. The skill reasons that macro cycles set the main direction of asset classes and leaves micro-level timing to other skills. It traces the central bank transmission chain from policy rates through the government bond curve and credit spreads to corporate earnings and equity valuation, then lists indicators, forward signals and lagging confirmations for the Federal Reserve, the ECB and the Bank of Japan.
Global Macro Analysis fits situations like: reading Fed, ECB or BOJ policy and its likely effect on asset prices; forecasting an exchange rate such as USD/CNY with PPP, interest parity or BEER; quantifying geopolitical risk as a macro factor; setting cross-asset allocation from a macro view.
Run `npx skills add HKUDS/Vibe-Trading --skill global-macro -a claude-code`. Or copy the skill folder (agent/src/skills/global-macro in HKUDS/Vibe-Trading) into .claude/skills/global-macro in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HKUDS/Vibe-Trading --skill global-macro -a codex`. Or copy the skill folder (agent/src/skills/global-macro in HKUDS/Vibe-Trading) into .agents/skills/global-macro in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill global-macro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/global-macro, .gemini/skills/global-macro, .github/skills/global-macro and .opencode/skills/global-macro in your project.
SKILL.md names no scripts, command-line tools or credentials: Global Macro Analysis is instructions for the agent only.
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.
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.
Global Macro Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Global Macro Analysis: Revops Revenue Planning (swan-gtm/gtm-skills, 172 stars), FRED Macro Time Series (kansoku-trade/kansoku, 328 stars), Financial Analysis Agent (LeoYeAI/openclaw-master-skills, 2.2k stars) and Fin Modeling (asgard-ai-platform/skills, 242 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,097 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 9, 2026.
Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.