Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Retrieve market capitalization data for multiple companies at once using Octagon MCP. Use when comparing valuations across peers, screening by market cap, or analyzing a portfolio's composition by company size.
Retrieve the full catalog of tradable commodities across energy, metals, and agriculture using Octagon MCP. Use when researching commodity markets, identifying trading firms, understanding market participants, and analyzing commodity sector coverage.
Retrieve ESG benchmark comparison metrics by sector using Octagon MCP. Use when comparing ESG performance across industries, analyzing sector-level sustainability benchmarks, identifying ESG leaders and laggards by industry, or referencing frameworks like MSCI, S&P Global, CDP, and CSRD.
Retrieve ESG ratings and scores using Octagon MCP. Use when analyzing Environmental, Social, and Governance ratings, MSCI ESG ratings, Sustainalytics risk ratings, industry ESG rankings, and sustainability metrics for any public company.
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
Retrieve a full listing of actively traded currency pairs in the global forex market using Octagon MCP. Use when researching forex markets, understanding currency pair categories, analyzing major/minor/exotic pairs, and identifying trading opportunities.
Retrieve historical market capitalization data for any stock using Octagon MCP. Use when tracking market cap changes over time, analyzing valuation trends, identifying peak and trough valuations, and comparing historical size classifications.
Access and compare Israeli supermarket prices using mandatory Price Transparency Law data feeds. Use when user asks about "supermarket prices Israel", "price comparison Shufersal", "Rami Levy prices", "grocery prices", "Price Transparency Law", "shopping list optimizer", "food costs Israel", or "השוואת מחירי סופר". Covers chain-specific XML feed parsing, cross-chain price comparison, shopping list optimization, price trend tracking, and restaurant ingredient cost analysis. Do NOT use for restaurant operations (use israeli-restaurant-ops) or non-food retail prices.
Semantic search over agent memory files. Use when you need to find conceptually related memory blocks, discover forgotten reference files, check what you already know before creating new memory, or search beyond exact keyword matching. Currently supports QMD (local, no API keys).
Navigates archived ChatGPT or Claude-style conversation exports and a MemFS reference archive on demand. Use when recalling what a past assistant knew, searching old conversations, rendering specific chats, seeding reference memory from export sidecars, or mining historical context without doing a full import.