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Assist Generator With Structured Output
LangChain Hub prompt: ygorcarmo/assist-generator-with-structured-output
Transform Your Understanding Of Any Topic With This Innovative Prompt Template, Which Not Only Spots The Main Themes But Also Unveils Five Intricately Related Topics, Providing A JSON Structured Output And Deep Dive Into The Subject Matter.
Transform your understanding of any topic with this innovative prompt template, which not only spots the main themes but also unveils five intricately related topics, providing a JSON structured output and deep dive into the subject matter.
It Takes A Batch Of Customer Emails And Breaks Each One Down Into: Sentiment Check: Positive, Negative, Or Neutral. Risk Flag: Whether It Mentions Legal Trouble. Concise Summary: The Customer’s Main Ask Or Complaint In ≤15 Words. Structured Output: Everything Captured In Clean JSON, One Object Per Email. It Also Forces Handling Of Messy Cases: Mixed Emotions, Legal Threats, Or Vague Emails With No Clear Request.
It takes a batch of customer emails and breaks each one down into: - Sentiment check: positive, negative, or neutral. - Risk flag: whether it mentions legal trouble. - Concise summary: the customer’s main ask or complaint in ≤15 words. - Structured output: everything captured in clean JSON, one object per email. It also forces handling of messy cases: mixed emotions, legal threats, or vague emails with no clear request.
Action Agent Pm
LangChain Hub prompt: eshwarranga/action-agent-pm
This Is A Secondary Prompt Used By Ai Changelog: Https://github.com/joshuasundance Swca/ai Changelog
This is a secondary prompt used by ai_changelog: https://github.com/joshuasundance-swca/ai_changelog
An Easy To Use Prompt Enhancement Tool Focusing On Clarity, Detail, And Context. Ideal For Maximizing Relative Insight And Subsequently Tuning Prompt Relevance. Includes [TRUE/FALSE] User Preferences For Optional Human In The Loop, Extended Detail, And Structured Output.
An easy-to-use prompt enhancement tool focusing on clarity, detail, and context. Ideal for maximizing relative insight and subsequently tuning prompt relevance. Includes [TRUE/FALSE] user preferences for optional human-in-the-loop, extended detail, and structured output.
It Takes A News Paragraph And Breaks It Into Four Parts: 1. Who/what It’s About — The Primary Subject. 2. How It’s Framed — Tone Labeled As Positive, Negative, Or Neutral. 3. What Happened — The Main Event In 15 Words Or Less. 4. Speculative Counterpoint Why It Could Be Bad. All Of It Gets Wrapped Up Neatly In A JSON Object For Structured Output.
It takes a news paragraph and breaks it into four parts: 1. Who/what it’s about — the primary subject. 2. How it’s framed — tone labeled as positive, negative, or neutral. 3. What happened — the main event in 15 words or less. 4. Speculative counterpoint why it could be bad. All of it gets wrapped up neatly in a JSON object for structured output.
Risk Agent Pmp
LangChain Hub prompt: eshwarranga/risk_agent_pmp
Conversão De Relato De Bug Em User Story Ágil (v2 Técnicas Explícitas)
Conversão de relato de bug em User Story ágil (v2 - técnicas explícitas)
Use Structured Outputs To Process Unstructured Outputs To Csv
Use structured outputs to process unstructured outputs to csv
Restral Extract From Job Description
LangChain Hub prompt: rennokki/restral__extract_from_job_description
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Usando Few Shot Learning, Role Prompting E Structured Output
Prompt otimizado para converter relatos de bugs em User Stories usando Few-shot Learning, Role Prompting e Structured Output
Prompt Otimizado V2: Converte Relatos De Bugs Em User Stories Ágeis Em Markdown, Com Profundidade Adaptativa E Foco Em Fidelidade Concisa Ao Essencial Do Bug. | Techniques: Few Shot Learning, Chain Of Thought, Role Prompting, Structured Output Formatting
Prompt otimizado v2: converte relatos de bugs em User Stories ágeis em Markdown, com profundidade adaptativa e foco em fidelidade concisa ao essencial do bug. | Techniques: Few-shot Learning, Chain of Thought, Role Prompting, Structured Output Formatting
Evaluate Tuning And Get United Version
Evaluate Tuning and get United version
Versioning All My Prompts Here Dude
Versioning all my prompts here dude
Baseline Prompt For Patient Review Information Extraction
baseline prompt for patient review information extraction
Baseline Prompt For Review By Patients
baseline prompt for review by patients
Baseline Prompt For Extracting Information From Patient Reviews
Baseline prompt for extracting information from patient reviews
Baseline Prompt For Information Extraction
baseline prompt for information extraction
Evaluate Reiteration And Get United Version
Evaluate Reiteration and get United version
Prompt To Take A Large File Of Code, And Decompose It Specifically With The Purpose Of Providing Unified Diffs That Can Be Used To Patch Bugs
Prompt to take a large file of code, and decompose it specifically with the purpose of providing unified diffs that can be used to patch bugs
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Usando Role Playing, Few Shot Learning E Self Consistency
Prompt otimizado para converter relatos de bugs em User Stories usando Role-playing, Few-shot Learning e Self-Consistency
Research Old
LangChain Hub prompt: pruebanasa/research_old
Manager Simple
LangChain Hub prompt: pruebanasa/manager_simple