Total 30,734 skills, Data Processing has 1471 skills
Showing 12 of 1471 skills
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.
Use when asked to normalize audio volume, match loudness, or apply peak/RMS normalization to audio files.
Using Deck.gl in Observable Framework for large-scale geospatial data visualization.
Human-written economic calendar event descriptions for a global calendar with XAUUSD relevance and impact rules. Use when writing or reviewing event descriptions or notes for economic calendar entries, ensuring concise non-robotic language and conditional XAUUSD impact guidance.
Best practices for developing tools, dashboards and interactive data apps with HoloViz Panel. Create reactive, component-based UIs with widgets, layouts, templates, and real-time updates. Use when developing interactive data exploration tools, dashboards, data apps, or any interactive Python web application. Supports file uploads, streaming data, multi-page apps, and integration with HoloViews, hvPlot, Pandas, Polars, DuckDB and the rest of the HoloViz and PyData ecosystems.
Validate tax calculations: bracket math, deduction eligibility, Form 8949 format, audit-risk flags.
Generate financial analytics and insights from ~/Documents/finances/ data. Terminal report shows: net worth trends (30d/90d/1y), asset allocation, liability table with APR and monthly interest, cash flow (last 30 days), Bitcoin detail with sparkline. HTML dashboard: interactive plotly charts for all of the above over time. Use when: reviewing finances, answering questions about net worth, spending patterns, debt paydown progress, Bitcoin holdings, asset allocation. Keywords: financial report, net worth, spending, cash flow, debt, liabilities, bitcoin, how am I doing financially, finances summary, show me my finances, portfolio.
Verify accounting integrity. Compare totals to source docs, check lots vs holdings, detect duplicates, report gaps.
Create a custom technical indicator using Numba JIT + NumPy. Generates production-grade, O(n) optimized indicator functions with charting and benchmarking.
Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to maintain consistency across the knowledge graph.
PostGIS-focused SQL tips, tricks and gotchas. Use when in need of dealing with geospatial data in Postgres.
Execute PostgreSQL queries and introspection with named project connections using `postgres-cli` V2. Use when the user asks to inspect data, run SQL, debug schema, validate config, or build schema cache artifacts.