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Code Generator Chat
LangChain Hub prompt: sircambridge/code-generator-chat
Property selling/renting title and description
Property selling/renting title and description
German Translation Of Hwchase17/structured Chat Agent
German translation of hwchase17/structured-chat-agent
Risk Agent Pmp
LangChain Hub prompt: eshwarranga/risk_agent_pmp
Prompt For A Simulated Student Which Interacts With A Teacher Of Some Kind, Be It Real Or Agent Based.
Prompt for a Simulated Student which interacts with a teacher of some kind, be it real or agent-based.
Lead And White > System Message
lead and white -> system message
Geogpt React Json Qwen V2
LangChain Hub prompt: alexyxwang/geogpt-react-json-qwen-v2
Answer Customer Questions Based Only On The Context Provided As A Friendly Customer Support Agent
Answer customer questions based only on the context provided as a friendly customer support agent
Testing With Upper Case Action
testing with upper case Action
React Template
LangChain Hub prompt: afterst0rm/react-template
Llmcompiler Anthropic
LangChain Hub prompt: srikanth1003/llmcompiler-anthropic
This Prompt Is Used To Send Out Communications From The Agent Team To External Sources.
This prompt is used to send out communications from the agent team to external sources.
Primerica Agent
LangChain Hub prompt: lilsomnus/primerica_agent
It Takes A Block Of Text And Identifies Every Clearly Named Software, Technology, Or Methodology Term That Qualifies As A Technical "buzzword." For Each Buzzword, It: 1. Extracts Explicitly Mentioned Terms Only No Guessing Or Adding Related Concepts. 2. Preserves Full Names And Acronyms Keeps Product And Framework Names Intact. 3. Skips Overly Generic Words Unless Part Of A Specific Named Concept. 4. Organizes Results By Category Such As AI/ML, Cloud Services, Frameworks,
It takes a block of text and identifies every clearly named software, technology, or methodology term that qualifies as a technical "buzzword." For each buzzword, it: 1. Extracts explicitly mentioned terms only - no guessing or adding related concepts. 2. Preserves full names and acronyms - keeps product and framework names intact. 3. Skips overly generic words unless part of a specific named concept. 4. Organizes results by category such as AI/ML, Cloud Services, Frameworks, or Methodologies. 5. Groups related tools by company or family under clean markdown headers for easy reading. The result is a structured, resume-ready list of categorized buzzwords.
Ticket Agent Chat
LangChain Hub prompt: dahines/ticket-agent-chat
Pandas Agent System Prompt
LangChain Hub prompt: langchain-ai/pandas-agent-system-prompt
This Is A Custom Prompt For A Lead Finder System
This is a custom prompt for a Lead finder system
Estudio Para Hacer Una Web
Estudio para hacer una web
Agent Test
LangChain Hub prompt: captain/agent_test
Plany Agent
LangChain Hub prompt: crazeidea/plany-agent
Decision Making Agent Based On The Documents Passed As Context
Decision-making agent based on the documents passed as context
React Json Mod
LangChain Hub prompt: selimc/react-json-mod
Бот Скипает Не Информативные Сообщения (ex. Привествие)
Бот скипает не информативные сообщения (ex. привествие)
React Monticore V1
LangChain Hub prompt: beyond2void/react-monticore-v1