Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
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.
npx skills add tradermonty/claude-trading-skills --skill macro-regime-detectorgit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote 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.
[](https://agentmods.dev/skills/tradermonty/claude-trading-skills/macro-regime-detector)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/macro-regime-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/macro-regime-detector/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.
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/macro-regime-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/macro-regime-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.01149 |
| Opus 5 | $0.00046 | $0.00575 |
| Sonnet 5 | $0.00018 | $0.00230 |
| Haiku 4.5 | $0.00009 | $0.00115 |
Grade A, and why
macro-regime-detector 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Macro Regime Detector
Detect structural macro regime transitions using monthly-frequency cross-asset ratio analysis. This skill identifies 1-2 year regime shifts that inform strategic portfolio positioning.
When to Use
- User asks about current macro regime or regime transitions
- User wants to understand structural market rotations (concentration vs broadening)
- User asks about long-term positioning based on yield curve, credit, or cross-asset signals
- User references RSP/SPY ratio, IWM/SPY, HYG/LQD, or other cross-asset ratios
- User wants to assess whether a regime change is underway
Workflow
-
Load reference documents for methodology context:
references/regime_detection_methodology.mdreferences/indicator_interpretation_guide.md
-
Execute the main analysis script:
python3 -m pip install -r skills/macro-regime-detector/requirements.txt uv run python3 skills/macro-regime-detector/scripts/macro_regime_detector.py --output-dir reports/This fetches 600 days of data for 9 ETFs. With an FMP key, the client tries FMP first and fetches Treasury rates (~10 API calls total), then falls back to yfinance for unavailable ETF history. Without an FMP key, it runs in yfinance-only mode and uses SHY/TLT as the yield-curve fallback.
The detector fails closed and writes no report when none of its six components has usable data. Do not treat a missing report or non-zero exit as a valid low-transition regime.
-
Read the generated Markdown report and present findings to user.
-
Provide additional context using
references/historical_regimes.mdwhen user asks about historical parallels.
Prerequisites
- Python dependencies (required): install
requirements.txt, including yfinance and requests - FMP API Key (optional): set
FMP_API_KEYor pass--api-keyto use FMP and Treasury data before the yfinance/SHY-TLT fallbacks - The FMP free tier may not serve every ETF; unavailable symbols automatically use yfinance
What ships with it
30 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.
- references/historical_regimes.md 4.7 KB
- references/indicator_interpretation_guide.md 6.2 KB
- references/regime_detection_methodology.md 5.3 KB
- requirements.txt 33 B
- scripts/calculators/__init__.py 49 B runs code
- scripts/calculators/concentration_calculator.py 5.9 KB runs code
- scripts/calculators/credit_conditions_calculator.py 3.9 KB runs code
- scripts/calculators/equity_bond_calculator.py 6.7 KB runs code
- scripts/calculators/sector_rotation_calculator.py 3.9 KB runs code
- scripts/calculators/size_factor_calculator.py 4.1 KB runs code
- scripts/calculators/utils.py 11 KB runs code
- scripts/calculators/yield_curve_calculator.py 9.6 KB runs code
- scripts/fmp_client.py 15 KB runs code
- scripts/macro_regime_detector.py 12 KB runs code
- scripts/report_generator.py 20 KB runs code
- scripts/scorer.py 20 KB runs code
- scripts/tests/conftest.py 314 B runs code
- scripts/tests/test_concentration.py 3.4 KB runs code
- scripts/tests/test_credit_conditions.py 2.2 KB runs code
- scripts/tests/test_equity_bond.py 2.7 KB runs code
- scripts/tests/test_fmp_client.py 10 KB runs code
- scripts/tests/test_helpers.py 2.5 KB runs code
- scripts/tests/test_main_cli.py 4.5 KB runs code
- scripts/tests/test_packaged_deps.py 4.3 KB runs code
- scripts/tests/test_report_generator.py 11 KB runs code
- scripts/tests/test_scorer.py 23 KB runs code
- scripts/tests/test_sector_rotation.py 3.2 KB runs code
- scripts/tests/test_size_factor.py 2.2 KB runs code
- scripts/tests/test_utils.py 5.4 KB runs code
- scripts/tests/test_yield_curve.py 6.3 KB runs code
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.
- 13d ago First seen · 102 lines · 91 tokens per session scan A a60479b15604
macro-regime-detector is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 1,149 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.