Commerce & finance skills.
1,698 commerce & finance skills, including agent-payment-x402, customer-billing-ops and finance-billing-ops, are listed on ahel today. Each one has a page of its own that says what it does and whether ahel can serve it in Claude, Claude Code, ChatGPT, Codex and Cursor.
Category: Commerce & finance
1,698 results · page 53 of 57
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fluentcart-payment-gatewaysSkillCommerce & finance
Builds and audits third-party FluentCart payment gateways using AbstractPaymentGateway, BaseGatewaySettings, PaymentInstance, GatewayManager, frontend fluent_cart_load_payments_* events, transaction reconciliation, refunds, signed webhooks, and optional subscription capabilities. Use when registerin
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fluentcart-subscriptions-renewalsSkillCommerce & finance
Implements and audits FluentCart recurring plans, Subscription models, automatic, manual, and system collection methods, gateway-managed versus store-managed billing, renewal invoices, off-session retries, pause/resume/ cancel/reactivate operations, and subscription lifecycle hooks. Use when extendi
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ifrsSkillCommerce & finance
Use when answering questions about IFRS standards, IAS standards, IASB, financial reporting, revenue recognition, lease accounting, impairment, financial instruments, expected credit loss, ECL, hedge accounting, consolidation, business combinations, fair value measurement, first-time adoption, defer
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latex-empirical-tablesSkillCommerce & finance
Set up, format, fix, and clean up LaTeX regression and estimation tables in empirical economics or finance papers. Use when (a) creating a .tex, results.tex, main.tex, or preamble to display regression or estimation output from Python (pyfixest), Stata, or R — including any mention of estout, esttab
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ml4t-calendar-opsSkillCommerce & finance
Trading calendar awareness for correct date alignment and rolling windows. Use when aligning data across markets or computing holiday-aware windows.
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ml4t-case-study-developmentSkillCommerce & finance
Stage-gated research workflow from hypothesis through data prep, feature engineering, modeling, and backtest. Use when developing a trading strategy end-to-end with disciplined gate checks.
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ml4t-feature-familiesSkillCommerce & finance
Five families of financial features - momentum, mean-reversion, volatility, carry, and value. Use when designing a feature set to ensure coverage across complementary market dynamics.
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ml4t-non-stationaritySkillCommerce & finance
Handle changing statistical properties in financial time series. Use when features or model performance degrade over time.
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ml4t-polars-patternsSkillCommerce & finance
Polars-first data processing patterns for financial data. Use when writing efficient grouped, windowed, or lazy-evaluated data transformations.
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ml4t-registry-systemSkillCommerce & finance
Content-addressed experiment tracking for ML trading models. Use when versioning models, features, or experiment artifacts for reproducibility.
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ml4t-run-backtestSkillCommerce & finance
Event-driven backtesting with realistic order execution, position tracking, and performance measurement. Use when simulating a trading strategy on historical data.
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ml4t-strategy-workflowSkillCommerce & finance
End-to-end strategy development lifecycle from hypothesis to live trading. Use when starting a new strategy project or onboarding to the ML4T workflow.
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ml4t-triple-barrierSkillCommerce & finance
Label trades using profit-target, stop-loss, and time barriers with volatility-adaptive thresholds. Use when creating supervised labels for financial time series.
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pseudobulkdegSkillCommerce & finance
Performs pseudo-bulk differential gene expression analysis using DESeq2 or edgeR. Aggregates single-cell counts to sample-level pseudo-bulk data, then identifies differentially expressed genes between conditions while accounting for biological replicates. Supports complex experimental designs includ
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3-statement-modelSkillCommerce & finance
Build auditable forecast models with linked income statement, balance sheet, and cash flow statement for A-share non-financial companies. Use for creating or updating the three statements, working capital, capital expenditure, and debt plans; not suitable for specialized balance sheets such as banks
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a-share-company-underwritingSkillCommerce & finance
Systematic underwriting-style research on A-share listed companies covering business model, industry structure, competitive advantages, management governance, and profit engines. Used for in-depth stock research, initiation coverage, and moat or management assessments; does not replace standalone sk
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a-share-factor-validationSkillCommerce & finance
Audits A-share factors, stock selection rules, and backtests for compliance with point-in-time, out-of-sample, transaction cost, market regime, statistical power, and multiple testing requirements. Used to judge whether the evidence supports further research; does not treat backtests as proof of liv
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a-share-financial-forensicsSkillCommerce & finance
Reviews A-share financial statements, earnings quality, disclosure drift, capitalization, impairments, related-party transactions, and audit risks. For financial report quality checks, profit-cash divergence, or abnormal growth investigations; only assesses evidence and accounting risk, does not all
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a-share-thesis-trackerSkillCommerce & finance
Create and update falsifiable research theses for A-share subjects, recording pillars, counter-evidence, catalysts, valuation anchors, evidence changes, and invalidation conditions. Use for initial thesis formation, post-earnings review, or periodic revisit; does not automatically map scores to buy/
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a-share-valuation-triangulationSkillCommerce & finance
Selects and runs in parallel DCF, comparable companies, historical range, PB-ROE/residual income, SOTP, or mid-cycle valuation for A-share companies, presenting assumptions, sensitivities, and divergences between methods. Use for valuation ranges and reverse-engineered implied expectations; does not
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china-comps-analysisSkillCommerce & finance
Builds comparable-company trading multiples analysis for A-share companies on a same-point-in-time, same-forecast-period, and same-basis approach, documenting inclusion/exclusion rationale, distributions, outliers, and accounting differences. For valuation cross-checks; does not mechanically map ind
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china-dcf-modelSkillCommerce & finance
Builds auditable FCFF or FCFE valuation models for A-share non-financial companies, covering the valuation date, financial version, cash flow drivers, WACC, terminal value, enterprise value bridge, and sensitivity analysis. For valuation modeling and model updates; does not mechanically convert mode
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china-initiating-coverageSkillCommerce & finance
Organizes evidence-first initiating coverage research working papers for A-share listed companies, chaining company underwriting, financial evidence gathering, forecasting, valuation, thesis, and red-team review. For full company research reports; does not generate broker attribution, ratings, targe
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china-macro-overviewSkillCommerce & finance
Builds a point-in-time, consistent picture of growth, inflation, credit, liquidity, exchange rates, and the policy environment based on China's official macro data and traceable market data. Used for macro backdrop, scenario, and industry transmission analysis; does not provide asset allocation, pri
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china-market-dataSkillCommerce & finance
Selects and calls Tushare Pro or AKShare data sources for China A-share, public mutual fund, and RMB interest rate research, outputting structured data with interface, parameters, fetch time, response hash, data availability timestamps, and fallback records. Used for stock/ETF quotes, fund NAV, fina
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close-monthSkillCommerce & finance
Closes the month — reconciles accounting data with acquiring and bank statements, flags discrepancies, writes a P&L summary, and exports a closing package. Takes optional arguments for the month and save location. Command form: invoked by name.
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comps-analysisSkillCommerce & finance
Builds same-day, same-period, same-basis A-share comparable company tables for industry or thematic research, explaining sample selection, multiple distributions, and outliers. Used for cross-company comparison and ranking research candidates; does not mechanically turn medians or percentiles into t
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content-strategySkillCommerce & finance
Analyzes sales data from ~~payments and ~~accounting (YooKassa, 1C, MoySklad), identifies hits and stalled items, factors in seasonality, and produces a prioritized 30-day content brief: what to promote, which promotions to run, what to hold back. Output is strategy only — no calendars or layouts.
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Cosmian KMSSkillCommerce & finance
Expert guidance for Cosmian Key Management System including key generation, certificate management, encryption operations, access policies, and KMS CLI operations. Use this when working with Cosmian KMS, cryptographic key management, or Cosmian-specific PKI operations.
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counterparty-guardSkillCommerce & finance
Checks a counterparty (legal entity/sole proprietor) by INN before a deal, credit shipment, or prepayment. Two-speed: a quick quick-scan for deal-killer signals (liquidation/bankruptcy/unreliable EGRUL record/disqualification/large debts), then a full dossier on request. Collects open data (EGRUL, t
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