FEDERATED - the claims inside are not verified by this repo. Ten MQL5 development skills: expert-advisor architecture split into risk, signal, regime and trade-manager layers, plus constants, stdlib utilities, networking, multi-asset handling and an economic calendar. Code-generation guidance for a language this index does not otherwise cover. No credentials, nothing executes. Installs disabled.
1 on GitHubby Algo Trading Spacev0.1.0MITupdated 1 month agofederated
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Plugin mt-mql5-development from marketplace fin-skills in howard-lynn-ye/fin-skills. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (11)
constants
Canonical reference skill for MQL5 ENUM_* values, flag combinations, and property identifiers. Use for: looking up any ENUM_* name or property identifier; valid values for AccountInfo*, TerminalInfo*, Chart*, Object*, File* calls; combining bitmask flags (file modes, visibility, fill policy); trade
ea-architect
Master MQL5 Expert Advisor architecture reference. Use for: wiring the 5-layer EA model (risk, regime, signal, trade mgmt, analytics); writing OnInit/OnTick/OnDeinit event handlers; setting up IsNewBar gating; designing include file layouts and .mqh module interfaces; applying naming conventions acr
economic-calendar
MQL5 economic calendar API reference skill. Use for: querying calendar countries or events; looking up calendar metadata by id, country, or currency code; retrieving historical or latest economic values; incremental polling with change_id for efficient live filters; wiring calendar-based trade-block
market-regime
Market regime detection and filtering for MQL5 EAs. Use for all logic that determines WHETHER to trade: trend vs range classification via ADX; volatility regime via ATR (high/normal/reduced); session filtering (London/NY/Asian killzones); news event avoidance; spread spike detection; weekend and hol
mql5-docs-lookup
Looks up authoritative MQL5 answers in the official documentation through the Algo Trading Space MCP tools, instead of answering from memory. Use for: "what does this constant mean", "how does OnTesterPass work", "which handler fires on X", "cite the MQL5 docs", "is this API real", "find the docs pa
multi-asset
Multi-asset and multi-pair EA management for MQL5. Use for all logic involving trading more than one instrument: per-symbol configuration profiles (SSymbolConfig struct); 17 pre-built asset profiles across forex, metals, indices, and crypto CFDs; portfolio-level risk with correlation group limits; C
network
MQL5 network and outbound communication reference skill. Use for: calling WebRequest from an EA or script; opening raw TCP or TLS sockets; sending or reading bytes; checking socket readability, writability, or connection state; setting socket send/receive timeouts; using terminal-mediated SendMail,
risk-engine
Indestructible risk management for MQL5 EAs. Use for: position sizing (fixed %, ATR-based, volatility-scaled, half-Kelly); daily and total drawdown guards; equity-stop implementation; configurable prop firm rule sets; consecutive loss tracking with auto-risk reduction; correlation-based exposure lim
signal-engine
Entry and exit signal generation for MQL5 EAs. Use for: STradeSignal contract design; signal generation flow with confluence scoring (min 2 factors); SMC/ICT concepts (Order Blocks, Fair Value Gaps, CHoCH, BoS, liquidity sweeps); multi-timeframe analysis; technical indicator handles (ATR, EMA, RSI,
stdlib-utilities
MQL4/MQL5 language and runtime utilities reference skill. Use for: magic number isolation; OrderSend retry logic; .set file parameter presets; MQL4 vs MQL5 differences; file I/O and sandbox rules; string manipulation; array operations; date/time functions; terminal global variables; SQLite database
trade-manager
Post-entry trade lifecycle management for MQL5 EAs. Use for: ATR-based, swing-based, and chandelier trailing stops; breakeven logic; partial close and scale-out strategies; multi-target take profit; position scaling (pyramiding); trade modification via CTrade; managing multiple open positions; Order
FEDERATED - the claims inside are not verified by this repo. 501 engineering-grade trading skills - point-in-time backtest schemas, universe look-ahead, alt-data availability lag, ML against transaction costs, adjusted-vs-unadjusted prices, backtest determinism and audit trails, broker idempotency and failover, exchange FIX specs (ASX, B3, Bursa, BIST, Cboe), regulatory gates and a key-scope audit skill. Its README claims 458 of 501 cite a primary source; it is clearly LLM-generated at scale and the depth is unverified. Upstream splits these into per-domain plugins, but its root manifest exposes all 501 at once - roughly 25x the discovery budget, which is yours to spend since it installs disabled. No credentials in the skills; nothing executes. Installs disabled.
FEDERATED - the claims inside are not verified by this repo. FTShare's official one-endpoint-per-skill data catalogue for the Chinese market: A/HK/US quotes and K-lines, 可转债 including SZSE declaration snapshots, ETF PCF and IOPV, 龙虎榜, block trades, margin balances, executive holdings, the ChinaBond yield curve, the CPI/PPI/PMI/LPR/M2/credit macro series and news-sentiment factors. FTSHARE_API_KEY in the environment (a free tier exists per the launch article); read-only. Be deliberate: 215 sub-skills is roughly 10x the ~20-skill discovery budget, so treat it as a catalogue to enable for a session, not a standing install - it arrives disabled and the budget is yours to spend. Installs disabled.
FEDERATED - the claims inside are not verified by this repo. The deepest IFRS/GAAP pack in this sweep that also validates cleanly: IFRS 9 expected credit loss, IFRS 16 leases, IAS 12 deferred tax, revenue recognition, consolidation, SOX, forensic accounting, insurance reserving, WACC, LBO, treasury and Basel banking compliance, with an eval harness in the repo. Outside this library's quant core and overlapping the banking-regulatory entry on Basel and IFRS 9. Optional Stripe/Plaid connectors; nothing executes. Installs disabled.
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.
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.
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.
Apollo GraphQL agent skills for Claude Code — Apollo Client, Server, Federation, Connectors, Router, Rover CLI, iOS, Kotlin, and the Apollo MCP server. Covers schema design, query optimization, and GraphQL best practices.
Data lake, analytics, search, streaming, ETL, and orchestration workflows with S3 Tables, AWS Glue, Athena, Amazon Redshift, Amazon OpenSearch Service, Amazon MSK, Amazon Managed Service for Apache Flink, Amazon MWAA, and Amazon SageMaker Catalog. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, vector storage and semantic search on Amazon S3 Vectors, Amazon OpenSearch Service and Serverless (migration from Solr/Elasticsearch, provisioning, vector/semantic/hybrid search, log analytics, trace analytics), Amazon MSK Provisioned with Standard and Express brokers (cluster sizing, performance and consumer lag troubleshooting, topic management, MSK Replicator for disaster recovery and active-active replication, and Streaming Tables delivery to S3 Tables), migrating self-managed Apache Kafka to MSK Express, Apache Flink application development on Amazon Managed Service for Apache Flink, and Amazon MWAA Provisioned and MWAA Serverless (authoring, testing, and debugging DAGs and workflows, and Airflow version upgrades for provisioned environments), and Amazon SageMaker Catalog and AWS Glue Data Catalog curation (business descriptions, glossaries, metadata forms, publishing, and safe asset retirement) with subscription-based access requests, approvals, audits, and revocations.
File-based inter-agent messaging with co-op mode, cross-project federation, and orchestrator integrations.
4 skills
hashgraph-online/awesome-codex-plugins 1,566
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