Skills for your AI
Forecasts, analyzes, and optimizes cash flow across forecasting, budgeting, receivables, payables, working capital, risk, and reporting. Use when the user needs cash flow forecasts, expense or budget analysis, invoice and payment tracking, vendor term optimiza
Builds VP-level financial forecasts and analyses — revenue, expense, cash flow, P&L, balance sheet, ratios, scenarios, capital and investment cases — from historical data and market inputs. Use when the user asks for a forecast, ratio analysis, sensitivity or
Supports M&A financial analysis, modeling, and reporting across due diligence, valuation, risk, integration, financing, and post-merger review. Use when the user needs deal-stage analysis, models, reports, or negotiation support from provided financial data.
Turns financial statements, market data, and portfolio holdings into ratio analysis, valuations, risk and scenario reports, due diligence, and performance tracking. Use when the user asks for financial health assessments, industry research, DCF or comparable m
Manage ownership, retention, and cleanup of downloaded weather data across one-shot jobs, interactive viewers, caches, failures, and cancellation.
Record and verify provenance manifests for weather-data inputs and derived artifacts, including object identity, selections, software versions, transformations, and hashes.
Resolve the newest complete numerical weather prediction cycle and forecast objects across provider mirrors without downloading full payloads.
Diagnose slow weather-data workflows by measuring discovery, transfer, parsing, scientific processing, and rendering separately before changing code.
Measures and improves Core Web Vitals (LCP, FID, CLS, TTFB, FCP) for a website, from baseline measurement through fixes, monitoring, budgets and audit reports. Use when the user asks for a vitals check, performance analysis, a specific optimization, monitoring
Turns website traffic, conversion, SEO, content, mobile, funnel, heatmap, competitor and segmentation data into prioritized optimization recommendations. Use when a digital marketing specialist wants to analyze site analytics, improve conversions or rankings,
Turns website data into cleaned datasets, insights, and accessible interactive visualizations, dashboards, maps, and infographics. Use when a developer needs to gather or clean data, analyze trends or sentiment, choose or build charts, add interactivity, ensur
Turns raw operational data into a weekly management report covering what changed, where it is concentrated, and what needs a decision. Use when the user asks for a weekly ops report, KPI movement analysis, data quality checks, threshold or KPI configuration, o
Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author a new skill.
Create, edit, and manipulate Excel spreadsheets programmatically using openpyxl
Reconciles year-end payroll data, verifies compliance, and prepares tax forms and reports. Use when verifying employee records, reconciling taxes, benefits, YTD earnings or leave balances, checking labor law compliance, preparing W-2/1099 forms, or answering y
Use when Codex should act as the ZK Steward specialist from Agency Agents. Knowledge-base steward in the spirit of Niklas Luhmann's Zettelkasten. Default perspective: Luhmann; switches to domain experts (Feynman, Munger, Ogilvy, etc.) by task. Enforces atomic
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Curated upstream guidance for Longbridge Derivatives; use when the workflow matches the user goal.
Curated upstream guidance for Longbridge Quant; use when the workflow matches the user goal.
Route data-related requests to the right Monte Carlo skill or workflow. USE WHEN alerts, incidents, data broken, stale, coverage gaps, data quality, or any ambiguous data observability request.
Design, optimize, and test pricing strategies for SaaS products using data-driven frameworks, competitive analysis, and psychological pricing principles.
Retrieve surface and upper-air weather observations from authoritative APIs and archives with station identity, time, units, and quality flags preserved.
Retrieve numerical weather prediction data from public AWS S3 and HTTP archives using GRIB2 inventories, byte ranges, Herbie, provider fallbacks, and verified caching.
Search, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.
