market-data

DAS Trader Pro hotkey, button, and routing assistant for Cobra Trading users. Writes and debugs DAS hotkey scripts, TriggerOrder brackets, CMD API commands, and risk-sizing entries.

1 skill

Apply Donella Meadows' Thinking in Systems to a personal Life OS: stocks/flows life mapping, eight system-trap scans, 12-leverage-point goal audits, feedback-loop repair, and Dancing-with-Systems periodic reviews.

1 skill

Intraday momentum trading intelligence: morning game plans, daily reviews (R-units, both-account aware), evening video review, SEC filings, statistical covariance, and DAS Trader integration. Includes deterministic publish workflow to Notion + Slack + DAS Market Viewer.

1 skill

Daily equities watchlist and trading-plan MCP server. Screens for high-volume, high-volatility candidates using Finviz + Polygon/Massive data (RVOL, ATR, premarket volume) and builds structured morning briefs with Camarilla pivots and news.

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

Automates browser interactions for web testing, form filling, screenshots, and data extraction

12 skills

Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.

16 skills

Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.

37 skills · 2 commands · hooks

The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.

1 MCP server

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents