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Skills IA documentation finance investment

Découvrez les skills documentation finance investment, comparez leurs dépôts et consultez leurs instructions.

Catégories: documentation finance investment

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GitHub

researching-stocks

cv

Workflow for multi-step financial research requiring multiple data sources. Use for company comparisons, due diligence, comprehensive analysis, or complex financial questions.

GitHub

reading-sec-filings

cv

Extracts content from SEC filings (10-K, 10-Q, 8-K) via Financial Datasets API. Use when asked about risk factors, MD&A, business descriptions, or SEC filing content.

GitHub

bpa-rules

data-goblin

This skill should be used when the user asks to "create a BPA rule", "write a Best Practice Analyzer rule", "improve a BPA expression", "fix expression for BPA", "analyze BPA annotations", "check model for best...

GitHub

review-plan

SDiamante13

XP-style plan review that identifies gaps, hidden assumptions, and critical misses. Triggers on 'review the plan' or '/review-plan'. Reviews plans for YAGNI violations, missing feedback loops, and over-engineer...

GitHub

generate-dashboard

calumjs

Generate an HTML dashboard from meeting analysis. Use when the user wants to create a visual summary, build a dashboard, generate a report, or visualize meeting insights.

GitHub

skill-selector

trotsky1997

Self-driven skill selection system that uses internal curiosity asking (self-questioning) to analyze user requests, infer context from available information, and automatically recommend the most appropriate ski...

GitHub

market-research

IgorWarzocha

Automates collecting and analyzing job market data and trends. Use for cyclical monitoring of sectors, salaries, and skills demand.

GitHub

analyze-job-post

IgorWarzocha

Analyzes a job offer for fit with the Candidate's profile and recommends an application strategy. Use before considering a new job offer.

GitHub

nixtla-explain-analyst

intent-solutions-io

Analyze and explain TimeGPT forecast results in plain English. Generates executive summaries with driver analysis. Use when stakeholders need forecast explanations, board presentations, or compliance documentat...

GitHub

nixtla-arbitrage-detector

intent-solutions-io

Detects arbitrage opportunities between Polymarket and Kalshi prediction markets. Use when a user wants to find price discrepancies for the same event on different platforms. Trigger with "find arbitrage", "det...

GitHub

nixtla-experiment-architect

intent-solutions-io

Generate production-ready forecasting experiments with StatsForecast and TimeGPT. Use when setting up model benchmarking or cross-validation. Trigger with 'scaffold experiment' or 'compare models'.

GitHub

nixtla-liquidity-forecaster

intent-solutions-io

Forecasts orderbook depth and spreads to optimize trade execution timing. Use when needing to estimate market liquidity for large orders. Trigger with "forecast liquidity", "predict orderbook", "estimate depth"...

GitHub

nixtla-baseline-review

intent-solutions-io

Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series...

GitHub

nixtla-market-risk-analyzer

intent-solutions-io

Analyze market risk with VaR, volatility, and position sizing using forecast data. Use when assessing investment risk. Trigger with 'analyze market risk' or 'calculate VaR'.

GitHub

nixtla-skills-index

intent-solutions-io

Analyze and categorize installed Nixtla Skills for forecasting guidance. Use when seeing available skills or selecting the right one. Trigger with 'list nixtla skills' or 'what skills'.

GitHub

nixtla-batch-forecaster

intent-solutions-io

Forecast multiple time series in parallel using TimeGPT. Use when processing 10-100+ contracts efficiently. Trigger with 'batch forecast' or 'parallel forecasting'.

GitHub

nixtla-polymarket-analyst

intent-solutions-io

Analyze and forecast Polymarket contracts using TimeGPT with confidence intervals. Use when predicting contract prices. Trigger with 'Polymarket analysis' or 'forecast prediction market'.

GitHub

nixtla-contract-schema-mapper

intent-solutions-io

Transform prediction market data to Nixtla format (unique_id, ds, y). Use when preparing datasets for forecasting. Trigger with 'convert to Nixtla format' or 'schema mapping'.

GitHub

nixtla-timegpt-lab

intent-solutions-io

Provides expert Nixtla forecasting using TimeGPT, StatsForecast, and MLForecast. Generates time series forecasts, analyzes trends, compares models, performs cross-validation, and recommends best practices. Acti...

GitHub

nixtla-batch-forecaster

intent-solutions-io

Forecasts multiple time series in parallel batches using TimeGPT API. Optimizes throughput with rate limiting and supports portfolio aggregation. Use when processing 10-100+ contracts or needing efficient multi...

GitHub

timegpt-pipeline-builder

intent-solutions-io

Generate production-ready TimeGPT forecasting pipeline code from requirements. Use when scaffolding a pipeline with validation, logging, visualization, and repeatable runs. Trigger with "create TimeGPT pipeline...

GitHub

nixtla-correlation-mapper

intent-solutions-io

Analyzes multi-contract correlations and generates hedge recommendations. Use when managing a portfolio of correlated assets and needing to mitigate risk. Trigger with "analyze correlations", "suggest hedge", "...

GitHub

nixtla-model-benchmarker

intent-solutions-io

Generate benchmarking pipelines to compare forecasting models and summarize accuracy/speed trade-offs. Use when evaluating TimeGPT vs StatsForecast/MLForecast/NeuralForecast on a dataset. Trigger with "benchmar...

GitHub

nixtla-model-selector

intent-solutions-io

Automatically selects the best forecasting model between StatsForecast and TimeGPT based on time series data characteristics. Use when unsure which model performs best. Trigger with "auto-select model", "choose...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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