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Found 217 Skills
Generate clear, accurate performance reports for investment portfolios with benchmarks, attribution, and risk dashboards. Use when the user asks about portfolio performance reports, return summaries, benchmark comparison, risk dashboards, goal progress tracking, or GIPS-compliant reporting. Also trigger when users mention 'quarterly report', 'how did my portfolio do', 'time-weighted vs money-weighted return', 'annualized returns', 'net-of-fee performance', 'rolling Sharpe', or ask how to present investment results to clients.
Smart CSV importer with format auto-detection. Handles major banks in Canada and US, plus payment platforms (Stripe, PayPal, Wise, WeChat Pay, Alipay) and browser-assisted exports gathered through `/cfo-statement-export`. Use when importing bank or credit card CSV exports. CLEAR step: C (Capture)
TransForm integration. Manage data, records, and automate workflows. Use when the user wants to interact with TransForm data.
Aylien News API integration. Manage data, records, and automate workflows. Use when the user wants to interact with Aylien News API data.
Write and query high-cardinality event data at scale with SQL. Load when tracking user events, billing metrics, per-tenant analytics, A/B testing, API usage, or custom telemetry. Use writeDataPoint for non-blocking writes and SQL API for aggregations.
Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.
Use this skill for ANY question about creating test or evaluation datasets for LangChain agents. Covers generating datasets from traces (final_response, single_step, trajectory, RAG types), uploading to LangSmith, and managing evaluation data.
Best practices for developing advanced, interactive, and publication-quality data visualizations using HoloViz HoloViews
Combining IoT sensor data using algorithms like Kalman filters for improved accuracy and reliability
Use when writing or running Nushell commands, scripts, or pipelines - via the Nushell MCP server (mcp__nushell__evaluate), via Bash (nu -c), or in .nu script files. Also use when working with structured data (JSON, YAML, TOML, CSV, Parquet, SQLite), doing ad-hoc data analysis or exploration, or when the user's shell is Nushell.
Python data processing with pandas, openpyxl, and lxml. Covers DataFrame operations, Excel I/O, XML parsing, bulk data transformation, and large-file handling. Use when processing tabular data, spreadsheets, or XML in Python. USE WHEN: user mentions "pandas", "DataFrame", "openpyxl", "read_excel", "lxml", "XPath", "CSV processing", "Excel parsing", "bulk data", "large file", "data transformation", "UTF-16", "codecs" DO NOT USE FOR: SQL databases (use sql-expert), NumPy-only math, ML/training
Access and navigate GenomeArk AWS S3 bucket - VGP assemblies, QC data, and species directory structure