Find, trial, compare, and govern AI agents before hiring
Run repeatable workflows, internal processes, and tool-connected operational tasks.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
Showing 12 of 4999. Adjust filters to narrow the review list without losing job context.
This skill helps OpenClaw agents manage a fast lightweight local SQLite database with minimal RAM and storage usage.
Conduct comprehensive, systematic literature reviews using multiple databases (PubMed, bioRxiv, Semantic Scholar, OpenAlex). Creates documented searches, synthesizes findings thematically, verifies citations, and generates professional markdown reports with multiple citation styles (APA, Nature, Vancouver). Use when the user needs thorough literature resear...
系統性文獻搜尋、篩選、下載、整理。觸發：文獻回顧、找論文、搜尋文獻、systematic review、literature search、PubMed、找文章、搜paper、review、reference、citation、引用、參考文獻、背景調查、background。
Search and retrieve scientific literature. Use when asked to find papers, research a topic, find citations, get paper abstracts, or conduct literature reviews. Accesses Semantic Scholar, arXiv, and other academic databases.
This skill helps you orchestrate real-time voice rooms and token management with LiveKit for AI agents and human participants.
Fine-tune LLM agents with online reinforcement learning
Get your RAG application rolling in no time.
Hosted ingestion and indexing service for LlamaIndex.
This skill helps you set up LlamaIndex query engines and configure ReAct agents for RAG-powered workflows across knowledge bases.
Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when th...
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
4999 candidates for Operations. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.