Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Retrieve normalized OFAC sanctions pressure — designation summaries, recent additions, and per-country/per-program aggregates including sanctioned vessels and aircraft. Use when the user asks which countries or programs face sanctions pressure, or what was recently designated.
Retrieve active prediction-market contracts (Polymarket) with live yes-price probabilities, volume, and close dates, filterable by category or keyword. Use when the user asks what the market odds are on a geopolitical, economic, or election outcome.
Retrieve current shipping market stress from carrier and freight indicators. Use when the user asks whether supply chains or container shipping are under pressure right now.
Discover live webcams in a map viewport and resolve thumbnails or player URLs. Use when the user asks for visual context near a location, route, border, port, or city.
Retrieve geolocated armed-conflict events (UCDP) with parties, fatality estimates, and violence type, filterable by country and date range. Use when the user asks about recent fighting, attacks, or conflict activity in a country or region.
Retrieve recent earthquakes (USGS) with magnitude, depth, location, and a concern score that flags proximity to nuclear test sites. Use when the user asks about recent seismic activity or whether an earthquake was natural.
Retrieve tariff-rate timeseries for a country pair — applied vs bound rates by product sector and year, plus the current effective tariff rate. Use when the user asks how tariffs between two countries have changed or what rate applies to a sector.
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).
Recall protocol for MemPalace — search the palace before answering about past work, people, projects, or prior decisions. Apply when the user asks what was decided, what happened before, who someone is, what was discussed last time, or anything that may already be filed in their memory palace; or when mempalace-recall is invoked. Complements the mempalace setup skill and requires the mempalace-mcp server.
Zero friction. Full context. Competitive intelligence, M&A due diligence, and OSINT directly from your terminal. Uses Node.js/npx.