The exact column header names required by the TRES Finance bulk transaction CSV upload. Use whenever building, fixing, or validating the header row of a TRES manual transaction or sub-transaction upload CSV — especially after an upload fails with \"Missing required column(s): ...\". Trigger phrases include: 'fix my CSV headers', 'bulk transaction upload failed', 'missing required columns', 'validate TRES upload CSV', 'transaction CSV template headers'. This skill is ONLY about the header naming convention; it does not cover row values or upload workflow. Do NOT trigger for contacts import CSV (use tres-import-contacts), wallet upload CSV (use tres-wallets-upload), or general CSV parsing unrelated to bulk TX upload headers.
npx skills add https://github.com/anthropics/claude-plugins-community --skill tres-upload-tx-header-validation
TRES validates the CSV header row against human-readable display names (with spaces and title case), NOT snake_case keys. Using the wrong names fails the upload with:
Missing required column(s): Year, Month, Day, Time, Organizational Wallet, Participating Wallet, Network, Direction, Financial Action, Asset Identifier, Amount, Fiat Currency, Transaction Hash, Transfer ID, Function Name, Method ID
Year,Month,Day,Time,Organizational Wallet,Participating Wallet,Network,Direction,Financial Action,Asset Identifier,Amount,Fiat Value,Fiat Currency,Transaction Hash,Transfer ID,Function Name,Method ID
Fiat Value (column L) is the one optional column — it does not appear in the "missing required column(s)" error, but include it in the header so the template stays aligned; its cells may be left blank.Writing programmatic/snake_case headers like year,month,day,time,wallet_address,third_party,network,direction,type,asset_identifier,amount,fiat_value,fiat_currency,hash,transfer_id,function_name,method_id. These are rejected — TRES wants the display names above (e.g. Organizational Wallet not wallet_address, Participating Wallet not third_party, Financial Action not type, Transaction Hash not hash).
Query the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
> Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Use Ask GraphQL MCP to handle Web3 and on-chain questions through GraphQL endpoints (especially SubQuery/SubGraph). Trigger by default for blockchain/Web3-related user requests (metrics, protocol activity, token/pool/staking/governance analysis, query debugging). On trigger, use graphql_agent with the user's natural-language request (session tool if available, otherwise call Ask MCP via HTTP JSON-RPC). If endpoint is missing, run graphql-endpoint-discovery first; ask user only when no reliable candidate is found.
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
Interactive supply chain dashboard mapping suppliers, customers, and financial interdependencies
> Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.
Take anthropics/tres-upload-tx-header-validation from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.