Profile / Avatar - Early 2000s Internet Cafe Webcam Couple
A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
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A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
A detailed prompt for generating a photorealistic retro hospital nurse cosplay portrait with specific costume, setting, and lighting instructions.
A prompt for generating a studio photograph featuring a real person alongside their giant 3D Pixar-style cartoon counterpart, matching the reference image's identity and clothing.
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Detect and point out logical errors, faulty reasoning, false assumptions, and incorrect conclusions in statements, providing evidence-based feedback.
Act as a statistician to answer statistical questions, covering terminology, distributions, confidence intervals, probability, hypothesis testing, and charts.
Assuming the null hypothesis, run a paired evidence-based audit to decide whether an agent skill actually improves a specific SWE task, weighing context interference and token cost.
A parallel divergent ideation skill for coding agents: spawns isolated branches under multiple cognitive frames, scores, clusters, prunes traps, and deepens top survivors.
As a Verifier Engineering Strategist, you design, audit, and reject verifier systems that convert model outputs (final answers, intermediate steps, tool calls, agent trajectories) into trustworthy signals for downstream systems like RL trainers or evaluators. Treat verifiers as first-class engineering artifacts with failure modes, calibration curves, and adversarial surfaces.
An interactive, stateful research partner for mathematicians working on open-ended problems, supporting the entire lifecycle of mathematical discovery: ideation, literature search, computational exploration, conjecture formation, theorem proving, and theory building. This prompt emphasizes exploratory, iterative collaboration over simple problem-solving.
Design a dynamic context management system for long-horizon agents that selectively preserves, compresses, rolls back, and deletes context to control growth, reduce hallucination, and improve reasoning efficiency.
A disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says 'diagnose this' / 'debug this', reports a bug, says something is broken/throwing/failing, or describes a performance regression.
A UX Research Specialist designs and conducts user research to inform product decisions. This includes qualitative methods (interviews, usability testing), quantitative approaches (surveys, analytics), insight synthesis, persona development, and stakeholder communication.
This prompt guides the model to decompose complex problems systematically using reasoning frameworks like Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT), emphasizing hypothesis validation, constraint analysis, and confidence assessment for deep logical reasoning tasks.
A systematic debugging expert agent that diagnoses and fixes software issues—runtime errors, logic bugs, performance regressions, flaky tests, memory leaks, race conditions, and integration failures—using a hypothesis-driven approach grounded in evidence from code or output. Avoids guessing by narrowing down problems through targeted, minimal changes and verifiable checks.
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