Li Xiang
Community@listentomi
a second-year doctoral student at Harbin Institute of Technology
Agent Skills by Li Xiang
Showing 30 vetted skills indexed across 1 GitHub repositories.
listentomilanggraph
Builds stateful multi-agent AI applications using LangGraph graphs, reducers, and checkpointers.
listentomiml-pipeline-workflow
Build end-to-end MLOps pipelines from data preparation through model deployment.
listentomilangchain
Build LLM applications with agents, chains, RAG pipelines, and multi-provider model support.
listentomiexploratory-data-analysis
Analyze scientific data files across 200+ formats and generate markdown EDA reports.
listentomideep-research
Generates cited research reports from multi-source web searches using firecrawl and exa MCP tools.
listentomiresearch-engineer
Produces rigorously verified code and technical analysis with formal correctness standards.
listentomistatistical-analysis
Conduct hypothesis tests, regression, and Bayesian analyses with assumption checks and APA reporting.
listentomidata-scientist
Guides statistical analysis, machine learning modeling, and data-driven business analytics workflows.
listentomitransformers
Load, run inference on, and fine-tune pre-trained Hugging Face transformer models.
listentomideepchem
Train and evaluate molecular machine learning models for property prediction and drug discovery.
listentomiml-paper-writing
Write publication-ready ML papers with LaTeX templates and verified citations.
listentomiscientific-visualization
Create publication-ready scientific figures with matplotlib, seaborn, and plotly.
listentomisenior-data-scientist
Guides statistical modeling, experiment design, and causal inference workflows in Python and R.
listentomiscikit-learn
Build classification, regression, and clustering models with scikit-learn pipelines in Python.
listentomicrewai-multi-agent
Builds teams of role-based AI agents that collaborate on tasks using the CrewAI framework.
listentomifinancial-analysis
Executes a five-phase financial analysis workflow producing audit-ready ratio, trend, and variance reports.
listentomicreating-financial-models
Builds DCF valuations, sensitivity analyses, Monte Carlo simulations, and scenario plans for investment decisions.
listentomirisk-metrics-calculation
Calculate portfolio risk metrics including VaR, CVaR, drawdowns, and risk-adjusted ratios in Python.
listentomianalyzing-financial-statements
Calculates financial ratios and metrics from financial statement data for investment analysis.
listentomibacktesting-frameworks
Build backtesting systems for trading strategies with bias mitigation and realistic transaction costs.
listentomimarket-research
Conduct market research, competitive analysis, and investor due diligence with sourced findings.
listentomiceorater
Query CEO performance scores and compensation data for S&P 500 companies via the CEORater API.
listentomistartup-financial-modeling
Builds 3-5 year startup financial models with revenue projections, cost structures, and scenario analysis.
listentomiflights
Search real-time flight schedules and prices via Google Flights data.
Frequently Asked Questions About Li Xiang
FAQPage SchemaWhat tasks can I accomplish with Li Xiang's skill registry?▼
The registry covers four areas: building LangGraph/LangChain/CrewAI agent applications, running ML pipelines with scikit-learn, transformers, and DeepChem molecular modeling, performing financial analysis including DCF models, VaR risk metrics, and backtesting, plus searching flights, hotels, and ferries across multiple travel providers.
Who is the target audience for these skills?▼
The skills target academic researchers, data scientists, and ML engineers, reflecting the owner's doctoral research at Harbin Institute of Technology. Secondary audiences include quantitative analysts building financial models and travelers comparing multi-provider booking options for complex itineraries.
What scientific and statistical analysis capabilities are included?▼
Skills cover exploratory analysis of 200+ scientific file formats across chemistry, bioinformatics, and spectroscopy, plus hypothesis testing (t-test, ANOVA, chi-square), Bayesian statistics, power analysis, and publication-ready matplotlib/seaborn figures with APA-style reporting for journal submissions.
What dependencies and API keys are required?▼
Most skills are key-free, but ceorater requires a CEORATER_API_KEY ($99/month individual subscription), google-maps requires a DEEPNLP_ONEKEY_ROUTER_ACCESS key plus the @aiagenta2z/onekey-gateway npm package, and travel-search requires curl. LangChain skills need langchain-core and provider packages.
Are these skills open source and free to use?▼
Most skills carry MIT or Apache 2.0 licenses, including LangGraph, LangChain, CrewAI, and ml-paper-writing from Orchestra Research. The ceorater skill is commercial with subscription pricing, while travel search providers like Kiwi.com, Trivago, and Ferryhopper are free with no API key required.