llm-cost-disciplineCost discipline for LLM pipelines — parse structured text with regex first and escalate only flagged items to an LLM, route the cheapest sufficient model tier by task size, track budget, retry narrowly, cache prompts. Use when building LLM pipelines, controlling API costs, or choosing between regex
researchMulti-source deep research. Prefers the exa MCP for search (firecrawl for scraping), falls back to the bundled /deep-research workflow or built-in WebSearch when they are absent. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thoro
search-routingSingle decision skill for all web search needs. exa is the default search backend (including `site:` and Chinese queries); firecrawl is for scraping pages exa cannot fetch, and firecrawl_search is only a fallback. Asks user before invoking expensive deep modes. Use this BEFORE any web search call wh