claude

alpaca-skills

FEDERATED - the claims inside are not verified by this repo. Alpaca's own skills for the broker this repo's lib-alpaca-py documents: paper trading through SDK, CLI and MCP, deterministic backtests, Broker API onboarding, funding, journals and SSE events, plus money-precision and reconciliation-idempotency skills that exist nowhere else in this index. Keys come from `alpaca profile login` or ALPACA_API_KEY/ALPACA_SECRET_KEY in the environment, with paper and live keys kept separate; the order skills can reach a live account once live keys are set, and default to paper. Installs disabled.

1 on GitHubApache-2.0updated 1 month agofederated
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Plugin alpaca-skills from marketplace fin-skills in howard-lynn-ye/fin-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (14)

  • alpaca-broker-account-onboarding

    Open and manage brokerage accounts via the Alpaca Broker API — account creation, KYC/CIP, identity & disclosures, agreements, document upload (incl. W-8BEN), account status lifecycle, and account updates/closure. Use when a developer is building onboarding, KYC, or account-management flows on Alpaca

  • alpaca-broker-funding-transfers

    Move money between an Alpaca brokerage account and the EXTERNAL banking world via the Broker API — ACH relationships, wire recipient banks, classic transfers (deposits/withdrawals), the v1beta funding wallet (international/instant), transfer status lifecycles, and fees. Use when building deposit/wit

  • alpaca-broker-integration

    Entry point for integrating with the Alpaca Broker API (plus Market Data and Trading APIs) in any programming language. Use when a developer wants to build on Alpaca — open brokerage accounts, run KYC, fund accounts, move money via journals, place orders, consume real-time event streams, or pull mar

  • alpaca-broker-journals

    Move cash (JNLC) and securities (JNLS) BETWEEN accounts inside your own Alpaca omnibus via the Broker API — single, batch, and reverse-batch journals, the Idempotency-Key header, journal status lifecycle including corrections, and the firm/sweep-account pattern that powers instant funding and share

  • alpaca-broker-market-data

    Pull and stream US stock market data from Alpaca — REST snapshots/bars/trades/quotes, historical bars with timeframes and feeds (IEX vs SIP), the assets master list, market clock & calendar, news, and the real-time WebSocket stream. Use when building charts, quotes, price feeds, or asset metadata on

  • alpaca-broker-money-precision

    Handle money and numeric precision correctly with the Alpaca API — numbers-as-strings on the wire, decimals vs floats, rounding/truncation before sending amounts, fractional-share precision, and safe DB storage. Use when handling monetary amounts, order quantities, or prices in any Alpaca integratio

  • alpaca-broker-rate-limits-resilience

    Make Alpaca API clients resilient — rate-limit header handling, HTTP 429 backoff, exponential retry, bounded concurrency/worker pools, pagination loops, batch sizing, and timeouts. Use when building robust REST clients, bulk/cron jobs, or reconciliation sweeps against Alpaca in any language.

  • alpaca-broker-reconciliation-idempotency

    Keep local state correct against the Alpaca Broker API — idempotency keys, ID-keyed upserts, event snapshotting and dedup, polling rails that have no events, nightly reconciliation/heal jobs, status state-machine mapping, and handling eventual consistency and corrections. Use when designing the data

  • alpaca-broker-sse-events

    Consume Alpaca Broker API real-time event streams over Server-Sent Events (SSE) — account status, journal, transfer/funding, trade, and non-trade-activity events — reliably. Covers connection, auth, replay cursors (since/since_id), heartbeats, reconnection/backoff, ordering, and idempotent processin

  • alpaca-broker-trading-orders

    Place and manage orders on behalf of accounts via the Alpaca Broker API — order creation (qty vs notional, fractional shares, order types/TIF/classes), order status lifecycle, replace/cancel, positions, and trading-account buying power. Use when building trading, recurring-invest, or portfolio flows

  • alpaca-trading-backtest

    Execute deterministic, reproducible historical backtests from a start date, end date, and strategy concept using the Alpaca CLI plus agent-written workspace code. Use when the user wants to backtest a strategy, simulate historical trades, or return trades, diagnostics, and reproducibility artifacts.

  • alpaca-trading-paper-trading-cli

    Preview, submit, inspect, and manage Alpaca paper-trading orders using the Alpaca CLI. Supports US equities, options, and crypto. Use this skill when you want your AI agent to take a strategy signal and execute it as a paper trade through the Alpaca command-line interface.

  • alpaca-trading-paper-trading-mcp

    Preview, submit, inspect, and manage Alpaca paper-trading orders using the Alpaca Trading API MCP Server. Supports US equities, options, and crypto. Use this skill when you want your AI agent to execute paper trades through MCP tool calls — no CLI installation or direct API coding required.

  • alpaca-trading-paper-trading

    Preview, submit, inspect, and manage Alpaca paper-trading orders across US equities, options, and crypto. Use this skill when you want your AI agent to take a strategy signal — from a backtest, manual idea, or automated system — and execute it safely in your Alpaca paper-trading environment. This ge

View source on GitHub

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FEDERATED - the claims inside are not verified by this repo. HKUDS' 33k-star trading agent, taken for its skill tree alone - the richest algorithm content this sweep found: the Kakushadze 101, GTJA 191 and Qlib 158 alpha zoos, factor IC/IR research, execution models (square-root impact, VWAP/TWAP), microstructure (VPIN, Kyle's lambda, Amihud), SABR and local-vol options, convertible bonds, credit, Brinson attribution, GARCH/ADF and a Pine/vnpy exporter. The skills are coupled to the app's data router and Python toolkit, so test them standalone before trusting them; data keys go in a .env, and live orders are reachable only through a separate gated connector with a kill switch, not from these skills. 90 skills is about 4.5x the discovery budget. Installs disabled.

91 skills

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FEDERATED - the claims inside are not verified by this repo. The closest structural peer to fin-libraries found in the wild - 82 one-library skills in Chinese - and the only pack anywhere in this sweep with actuarial and structured-credit content: MlFinLab information bars and fractional differencing, arch/GARCH, alphalens, bt/backtrader/nautilus/qlib/LEAN, QuantLib and FinancePy day counts and schedules, XVA (CVA/DVA/FVA, SIMM), chainladder loss reserving, IFRS 9 ECL, credit scorecards and transition matrices, ABS waterfalls, Smith-Wilson EIOPA curves. Depth is unverified and the author has one star; the easytrader and nautilus skills document live-broker paths but nothing executes by default. 82 skills is roughly 4x the discovery budget. Installs disabled.

82 skills

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FEDERATED - the claims inside are not verified by this repo. The maintained superset of geeksfino-finskills, 107 skills across China, Hong Kong and US directories: A+H premium, block deals, 龙虎榜, pledge risk, goodwill, 解禁 unlocks, margin risk, factor crowding, event studies, valuation regimes, and HK southbound, currency and liquidity monitors. Free data sources; nothing executes. Two caveats - it has been idle since February 2026, and 107 skills is roughly 5x the discovery budget, which is yours to spend since it installs disabled. Installs disabled.

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