Exa
Use Exa for web/code/company research (web_search_exa / get_code_context_exa / company_research_exa), with parameters and examples; trigger when online search or parameter checks are needed.
Overview
The Exa skill, part of the mxyhi/ok-skills repository, provides AI agents with advanced search capabilities for web, code, and corporate data. It integrates specific functions such as web_search_exa, get_code_context_exa, and company_research_exa to facilitate deep information retrieval. This tool is designed for compatibility with several popular AI environments, including Claude, Cursor, Codex, and OpenClaw. By leveraging the Exa API, the skill allows agents to perform targeted queries when online search or specific parameter checks are required. The mxyhi/ok-skills repository, which hosts this skill, has gained significant traction with over 400 stars. Users can implement this research tool to bridge the gap between static model knowledge and real-time web data, particularly for technical and business-oriented tasks.
Use Cases
Install Notes
# Review source first
open https://github.com/mxyhi/ok-skills/blob/main/exa-search/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
The Exa skill requires an API connection to perform external searches. Users should manage their API credentials securely and review the data access permissions required by the mxyhi/ok-skills repository. As this tool facilitates external web queries, users should be aware of the information being transmitted to and from the Exa API during research tasks.
Related Skills
Documentation Lookup
mxyhi/ok-skills
Retrieve current documentation and code examples for any library using the Context7 CLI.
Get API Docs via chub
mxyhi/ok-skills
When you need documentation for a library or API, fetch it with the chub CLI rather than guessing from training data. This gives you the current, correct API.
Autoresearch — Autonomous Goal-directed Iteration
mxyhi/ok-skills
Autonomous iteration loop: modify, verify, keep/discard against any metric
A2A Protocol
TerminalSkills/skills
Implements the Agent2Agent (A2A) open protocol for communication between AI agents built on different frameworks. A2A enables agents to discover each other via Agent Cards, negotiate interaction modalities, manage collaborative tasks, and exchange data — all without exposing internal state, memory, or tools. Supports J
AI Video Generator — Short-Form Content Pipeline
TerminalSkills/skills
Automate creation of shortform videos (TikTok, YouTube Shorts, Instagram Reels) using AI for every step: topic research, script writing, texttospeech narration, stock footage matching, subtitle generation, and final assembly. Inspired by [MoneyPrinterTurbo](https://github.com/harry0703/MoneyPrinterTurbo) (53k+ stars).
AI Scientist
TerminalSkills/skills
Build AI agents that automate scientific research using [AIScientistv2](https://github.com/SakanaAI/AIScientistv2) — an agentic tree search framework for hypothesis generation, experiment design, data analysis, and paper writing.