yvictor-polars-backtest-extension

Data analysis and business intelligence skill for dashboards, metrics, and strategic insights. Supports data-driven decision-making.

200 skills · 5 agents

Time series forecasting integrations with StatsForecast, MLForecast, and NeuralForecast for predictive analytics and data modeling.

200 skills

Tool for retrieving and analyzing biological or sequential data from ToolUniverse.

186 skills

Marketing skill for SEO insights, site performance analysis, and search optimization using Google Search Console data.

171 skills

Comprehensive spreadsheet manipulation with formula support, data analysis, and visualization. Handles XLSX, CSV, TSV for analysis, creation, and modification.

121 skills · 1 MCP server

Process and analyze mass spectrometry data (mzML, MGF, MSP formats) with spectral similarity metrics and metadata harmonization for metabolomics research.

118 skills

Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting

9 skills · 1 command · 4 agents

Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.

16 skills

Portfolio monitoring, valuations and analytics for private-capital GP teams using the Chronograph connector: portfolio-company one-pagers, fund quarterly review packs, markup/markdown briefs, TVPI attribution and budget-vs-actuals. Requires a Chronograph account and the Chronograph connector.

5 skills · 6 agents

Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting

2 skills · 2 agents

Portfolio monitoring, valuations and analytics for private-capital GP teams using the Chronograph connector: portfolio-company one-pagers, fund quarterly review packs, markup/markdown briefs, TVPI attribution and budget-vs-actuals. Requires a Chronograph account and the Chronograph connector.

5 skills · 6 agents

Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.

6 skills · 7 commands · 2 agents