ivanli-cn Tavily Hikari Research
Use this skill when the task needs multi-step Tavily research through Tavily Hikari.
Workflow
Write a concise research question with scope, date, geography, and source constraints.
Run:
tvly-hikari research "Compare Tavily CLI, Agent Skills, and MCP for AI agents" --jsonSave the response for longer investigations:
tvly-hikari research "Compare Tavily CLI, Agent Skills, and MCP for AI agents" --json -o tavily-research.jsonIf the official CLI returns an async request id, inspect or wait for the result through the official follow-up commands exposed by the wrapper:
tvly-hikari research status <request-id> --json tvly-hikari research poll <request-id> --json -o tavily-research.json
Hikari Notes
- Requests go to the configured Hikari
/api/tavily/researchfacade. - Hikari token quota applies to research calls.
- Hikari audit logs retain the downstream token context while upstream keys remain private.