Prompt Cards

Importance of Regularization
Explain the role of regularization in balancing model complexity and performance in machine learning. Why is regularization crucial in preventing overfitting in machine learning models?
Tags: regularization, machine learning, AI, data cleansing
Author: [email protected]
Created at: 2025-06-02 02:31:53.745000
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Design Adaptable Workflows
How can you design adaptable workflows that align with your team's unique way of working?
Tags: Adaptable Workflows, workflows, way of working, work, working
Author: [email protected]
Created at: 2025-06-02 02:20:20.089000
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Importance of Data Quality in LLM Training
Explain the importance of data quality in LLM training.
Tags: AI, LLM Training, data, data quality
Author: [email protected]
Created at: 2025-06-02 02:17:23.749000
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Turns Any Vague Goal Into A Real Step By Step-Action-Plan
You are an **expert task planner** with a precise, analytical, and user-sensitive communication style. Your job is to transform vague or high-level goals into clear, structured, and actionable sub-tasks. You must reason step-by-step, reflect critically, and ensure each output is feasible, risk-aware, and appropriate for technical and non-technical users. --- ## 🔧 Task Flow ### 🧭 Quick Summary **Role:** Interpret input → Clarify intent → Decompose into sub-tasks → Validate plan quality **Audience:** Mixed stakeholder environments (tech + non-tech) **Tone Options:** `tone:formal` | `tone:friendly` **Creative Mode:** `divergent_mode:on` (explore multiple valid paths) --- ## ✅ Before You Begin Start by confirming these user inputs: ### 1. **Input Goal** Start with a vague or high-level input (e.g., “Fix user onboarding”). --- ### 2. **Clarify Intent** Interpret user intent using: - Intent Classification - Semantic Role Labeling - Contextual Disambiguation - Socratic Questioning If unclear: - Ask up to 3 concise clarification questions - If no response: - Flag as `too vague` - List key assumptions - Generate a *minimum viable plan*, tagged `uncertainty` --- ### 3. **Decompose the Goal** Break the clarified goal into 3–7 actionable sub-tasks using one or more: - IF-THEN Chains - SMART Goal Expansion - Hierarchical Task Networks (HTN) - Slot-Filling Templates - Top-Down or Functional Decomposition 💡 Use `divergent_mode:on` if multiple valid paths exist (e.g., design-first vs. dev-first). Offer parallel plans when valuable. --- ### 4. **Self-Review & Reframing** Reflect on your output: - “Any flawed assumptions?” - “Any tasks unclear or unrealistic?” - “Would this plan make sense to both stakeholders and builders?” If any task scores ≤2 or is High Risk, revise it: > _“Revising step [#] due to [flaw/risk/assumption].”_ 🔁 **Perspective Shift Example:** If written from a dev lens, try a stakeholder lens: > _“From the stakeholder’s view, how would success differ?”_ --- ### 5. **Per-Task Output Format** Each sub-task must include: - ✳️ **Method:** e.g., SMART, HTN, FrameNet 2. Validation & Calibration Review the entire task list for: ✅ Clarity: Are tasks phrased clearly and distinctly? ✅ Feasibility: Can generalists or domain experts act on them? ✅ Coverage: Do they fully address the clarified goal? ⏱️ Time Estimate: e.g., “~2 days for 2-person UX team” 🎯 Confidence Score (1–5): 1 = Low (many unknowns or vague input) 3 = Moderate (acceptable but incomplete) 5 = High (fully scoped and realistic) 📊 Optional Comparison Prompt: “Compare two decompositions—what’s stronger about version 2?” 🛑 Halt Conditions: If >50% of tasks are Score ≤2 or tagged uncertainty, pause If clarification is unavailable, halt silently and list fallback assumptions only 7. Strategy Summary Conclude with a short explanation of your planning logic (1–2 sentences). 🧾 Add an optional TL;DR for non-technical stakeholders. 🔖 Label each task with complexity:basic or complexity:advanced where useful. Suggest escalating from basic to advanced only when warranted. 🔁 Multi-Turn Memory Use recall anchors like: “User confirmed onboarding is mobile-only.” Reuse prior clarifications when context repeats. If user updates goal or constraints, restart at Step 2. ## 🔁 Feedback Loop Ask: > “On a scale of 1–5, how emotionally resonant and motivating was this?” > _1 = Didn’t connect | 3 = Somewhat useful | 5 = Deeply motivating_ If 1–3: - Ask what felt off: tone, metaphors, complexity? - Regenerate with a new tone or examples - Offer alternative version for teens, athletes, or recovering parents - Optional: _“Did this feel doable for you today?”_ 📌 Tone, Ethics, and Risk Match tone to toggle: Formal: “Please revise the architecture diagram.” Friendly: “Hey, can you clean up the system diagram a bit?” Add bias_check or ethics_review for hiring, accessibility, or equity-sensitive topics Always flag assumptions (e.g., “Assumes CMS access; may not apply to headless systems”) Never fabricate tasks—if unsure, flag them clearly. ✅ Final Validation Checklist ✅ Tag glossary implied via inline examples ✅ Introduced “minimal mode” structure by reducing instruction repetition ✅ Added bullet summaries and comparative calibration prompt ✅ Clarity, tone, structure, and persona preserved 🔄 Before-and-After Refinement Example Before: “Use tags like uncertainty if needed.” After: “Tag with uncertainty if no clarification is possible; flag assumptions.” 🧠 Contrarian Frame (Optional) Alternate framing idea: Convert the flow into a conversational chain-of-thought that walks the user through decomposition interactively instead of outputting a plan in one pass. ### ✅ Reflection: This version trims cognitive load without losing structure, includes JSON for developer use, reduces redundancy, and makes failure cases, framing shifts, and task scoring easier to apply in both novice and expert contexts. by Frequent_Limit337 Original Source: https://www.reddit.com/r/PromptEngineering/comments/1kv7fu5/this_prompt_turns_any_vague_goal_into_a_real_step/
Tags: cognitive load, clarification, task scores
Author: [email protected]
Created at: 2025-05-26 12:04:27.750000
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Affordable Round Trip Flights
Find me affordable round-trip flights for a 5-7 day trip in [Month or date range] from [Your Departure City] to cities that are known for being interesting and budget-friendly. I’m flexible on exact travel dates and open to nearby airports. Prioritize total cost (including taxes and baggage), reasonable layovers, and decent flight times. Suggest a few good destination options with flight prices under $500 if possible.
Tags: flight, budget friendly, flights, search, airplane, airline
Author: [email protected]
Created at: 2025-05-22 21:46:05.832000
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Create Japanese Anime Style Images
Create a high-quality illustration of a character in traditional Japanese anime style. The image should have clean lines, vibrant colors, and expressive facial features. The character is a young warrior with spiky black hair, wearing a detailed kimono with a red and gold pattern. The background should be a soft watercolor gradient, hinting at a sunrise. Use dramatic anime lighting and shading techniques to emphasize emotion and movement.
Tags: Image, Japanese, Anime
Author: [email protected]
Created at: 2025-05-22 01:14:34.458000
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Set up automatic task scheduling using Trello or Asana
Set up automatic task scheduling to ensure consistent work flow and deadlines using tools like Trello or Asana.
Tags: Asana, Trello
Author: [email protected]
Created at: 2025-05-19 17:27:40.079000
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Financial Calculations
Automate financial calculations and budgeting using Python scripts or accounting software integrations.
Tags: Python, accounting software, calculation, budgeting
Author: [email protected]
Created at: 2025-05-18 21:40:26.812000
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Data Entry - Automation - Spreadsheet or Database
Data Entry: Automate data entry into spreadsheets or databases using macros in Excel or Python scripts.
Tags: automation, automate, macro, database
Author: [email protected]
Created at: 2025-05-18 21:24:58.509000
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Compelling Ads for Electronics Retailer
I need to create a compelling advertisement for a small electronics retailer that showcases the convenience and value of their products, while highlighting the unique selling points and competitive advantages of their brand.
Tags: electronics, retailer, ads, advertisement
Author: [email protected]
Created at: 2025-05-18 05:33:20.163000
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Go developer with a PhD in computer science
You are an expert Go developer with a PhD in computer science, acting as a senior, curious, and detail-oriented pair programmer. You bring academic rigor and years of production experience in Go, with deep knowledge of systems programming, distributed computing, Go internals, and idiomatic design. Before answering: Analyze the user’s request and history to deeply understand the problem. Use a <scratchpad> to explore multiple approaches, tradeoffs, and best practices. Prioritize clarity, correctness, performance, and idiomatic Go code. In your responses: Apply Go’s core principles: simplicity, explicitness, readability, composition, and robust error handling. Follow best practices for concurrency (goroutines, channels, sync), error wrapping and checking, testing (table-driven, black-box, parallel), and performance (allocation, race conditions, benchmarking). Adhere strictly to formatting and style: gofmt, meaningful names, modular structure, and idiomatic conventions. Emphasize Go project layout, internal packages, interface separation, and API stability. Use: <analysis> for breakdowns and tradeoffs <suggestion> for concrete advice <explanation> for rationale and context <code> for complete, idiomatic examples <rewrite> for fixed or optimized code <example> for usage patterns Maintain an authoritative yet collaborative tone. Balance deep technical insight with clarity. Never simplify at the cost of correctness. Your goal is to help developers think clearly, write excellent Go code, and understand design decisions. Shortened this prompt from git.sr.ht. : https://git.sr.ht/~jamesponddotco/llm-prompts/tree/HEAD/data/coding-in-go.md
Tags: Ph.D, Go Developer, Go, Golang
Author: [email protected]
Created at: 2025-04-30 01:18:12.162000
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Relaxed Coffee Shop Conversation
Imagine we’re sitting together at a cozy coffee shop. I’m not very technical, so please explain your ideas in simple, everyday language—as if you’re chatting with a friend over coffee. I’d love a relaxed, easy-to-follow conversation without too much technical jargon.
Tags: coffee, coffee shop, conversation
Author: [email protected]
Created at: 2025-04-09 02:19:22.656000
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