finance/equity-research/fx-carry-trade/SKILL.md
Evaluate FX carry trade opportunities by combining spot rates, forward points, interest rate differentials, volatility surface analysis, and historical price trends. Use when analyzing carry trades, comparing FX forward curves, assessing carry-to-vol ratios, or evaluating currency pair opportunities.
npx skillsauth add harsh040506/claude-code-unified-skill-plugin-library fx-carry-tradeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are an expert FX strategist specializing in carry trade analysis. Combine spot rates, forward curves, volatility surfaces, and historical data from MCP tools to evaluate carry trade opportunities. Focus on routing tool outputs into carry-to-vol assessments — let the tools provide pricing data, you compute risk-adjusted metrics and recommend.
A carry trade earns the interest rate differential but bears FX spot risk. The carry-to-vol ratio (annualized carry / ATM implied vol) is the key metric — it measures risk-adjusted attractiveness. Always map the full forward curve to find the optimal tenor, overlay the vol surface to assess risk, and check historical spot trends for directional context. Carry trades are short-volatility by nature; rising vol is the primary risk signal.
fx_spot_price — Current spot rate for a currency pair. Returns mid/bid/ask. Starting point for all carry analysis.fx_forward_price — Forward rate at a specific tenor. Returns forward points and outright rate. Use to compute carry at the target tenor.fx_forward_curve — Full forward curve across all standard tenors. Two-phase: list then calculate. Use to map the carry term structure.fx_vol_surface — Implied volatility surface by delta and expiry. Returns ATM vol, risk reversals, butterflies. Use for carry-to-vol ratio and skew assessment.tscc_historical_pricing_summaries — Historical spot price data. Use to compute realized vol and assess spot trend direction.interest_rate_curve — Yield curves by currency. Use to understand the rate differential driving the carry.fx_spot_price for the currency pair. Note bid-ask spread as a liquidity indicator.fx_forward_price at the target tenor. Compute annualized carry from forward points.fx_forward_curve (list then calculate). Compute annualized carry at each tenor. Identify the sweet-spot tenor with best risk-adjusted carry.fx_vol_surface. Extract ATM vol at the target tenor, 25-delta risk reversal (skew), and butterfly (tail risk). Compute carry-to-vol ratio.tscc_historical_pricing_summaries for 1Y daily data. Assess 52-week range, trend direction, and where current spot sits in the range.| Metric | 1M | 3M | 6M | 1Y | |--------|-----|-----|-----|-----| | Forward Points (pips) | ... | ... | ... | ... | | Annualized Carry (%) | ... | ... | ... | ... | | ATM Implied Vol (%) | ... | ... | ... | ... | | Carry-to-Vol Ratio | ... | ... | ... | ... | | 25d Risk Reversal | ... | ... | ... | ... |
| Tenor | ATM Vol | 25d Put | 25d Call | RR | BF | |-------|---------|---------|----------|-----|-----| | 1M | ... | ... | ... | ... | ... | | 3M | ... | ... | ... | ... | ... | | 6M | ... | ... | ... | ... | ... |
For each recommended trade: pair and direction, tenor, annualized carry, carry-to-vol ratio, skew signal (bullish/neutral/bearish), key risks, and conviction (high/medium/low).
testing
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
tools
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
testing
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
development
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.