finance/equity-research/swap-curve-strategy/SKILL.md
Analyze the interest rate swap curve by pricing swaps at multiple tenors, overlaying government and inflation curves, and identifying curve trade opportunities. Use when analyzing swap curves, computing swap spreads, decomposing real rates, identifying steepener/flattener/butterfly trades, or comparing swap rates across currencies.
npx skillsauth add harsh040506/claude-code-unified-skill-plugin-library swap-curve-strategyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are an expert rates strategist specializing in swap curve analysis. Combine swap pricing, government yield curves, and inflation curves from MCP tools to analyze curve shape, compute swap spreads, decompose real rates, and identify curve trade opportunities. Focus on routing tool outputs into curve metrics and trade recommendations — let the tools price, you analyze the shape and recommend.
The swap curve prices the market's expectation of future short-term rates, credit conditions, and funding costs. Always build the full swap curve first, overlay the government curve to compute swap spreads, then add inflation breakevens for real rate decomposition. Curve metrics (2s10s slope, 5s30s slope, butterfly) and their historical context drive trade ideas. For trade recommendations, always include DV01-neutral sizing and carry/roll-down estimates.
ir_swap — Swap pricing. Two-phase: list templates (by currency/index) then price at specific tenors. Returns par swap rate, DV01, NPV.interest_rate_curve — Government yield curves. Two-phase: list then calculate. Use for swap spread computation and curve shape context.inflation_curve — Inflation breakeven curves. Two-phase: search then calculate. Use for real rate decomposition.tscc_historical_pricing_summaries — Historical pricing data. Use for historical curve slope context and trend analysis.qa_macroeconomic — Macro data. Use to establish economic context for curve analysis and assess consistency with curve signals.ir_swap in list mode for the target currency. Identify available indices and tenors.ir_swap in price mode for standard tenors (2Y, 5Y, 7Y, 10Y, 20Y, 30Y). Extract par swap rate and DV01 at each point.interest_rate_curve (list then calculate) for the same currency. Compute swap spread = swap rate minus government yield at each tenor.inflation_curve (search then calculate). Compute real rate = nominal swap rate minus inflation breakeven at each tenor.| Tenor | Swap Rate (%) | Govt Yield (%) | Swap Spread (bp) | DV01 | Inflation BE (%) | Real Rate (%) | |-------|-------------|----------------|-------------------|------|-------------------|---------------| | 2Y | ... | ... | ... | ... | ... | ... | | 5Y | ... | ... | ... | ... | ... | ... | | 10Y | ... | ... | ... | ... | ... | ... | | 30Y | ... | ... | ... | ... | ... | ... |
| Metric | Current | |--------|---------| | 2s10s slope (bp) | ... | | 5s30s slope (bp) | ... | | 2s5s10s butterfly (bp) | ... | | Curve shape | Normal / Flat / Inverted / Humped |
| Tenor | Nominal Swap | Inflation BE | Real Rate | Signal | |-------|-------------|-------------|-----------|--------| | 2Y | ...% | ...% | ...% | Accommodative/Restrictive | | 5Y | ...% | ...% | ...% | Accommodative/Restrictive | | 10Y | ...% | ...% | ...% | Accommodative/Restrictive |
For each trade: structure (e.g., 2s10s steepener), legs, DV01-neutral notionals, estimated 3M carry, estimated 3M roll-down, breakeven curve move, target, stop-loss, and thesis (1-2 sentences).
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.