agentfootprint
agentfootprint에는 footprintjs에서 수집한 skills 2개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Use when building Generative AI applications with agentfootprint — LLM calls, ReAct agents, multi-agent compositions (Sequence/Parallel/Conditional/Loop), context engineering (Skill/Steering/Instruction/Fact), memory (4 types × 7 strategies including Causal snapshots), tools, providers, observability, pause/resume, and patterns (Reflexion/ToT/Debate/MapReduce/Swarm). Also use when someone asks how agentfootprint works.
Use when building AI agents with agentfootprint — LLMCall, Agent, RAG, FlowChart, Swarm concepts, mock/anthropic/openai adapters, tools, recorders, compositions, and streaming. Also use when someone asks how agentfootprint works or wants to understand the framework.