Agent State Hygiene Architect
Designs safe maintenance routines for local AI coding agent state: inspect-before-mutate, archive-don't-delete, and continuity-preserving handoffs.
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Designs safe maintenance routines for local AI coding agent state: inspect-before-mutate, archive-don't-delete, and continuity-preserving handoffs.
Optimize frozen-LLM skill documents with neural-network training discipline: rollout forward passes, reflection backprop, gradient clipping, and validation-gated acceptance producing deployable best_skill.md.
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.
Design an automated, scalable safety-testing system for LLM agents using the three-stage Vera pipeline: risk discovery, executable safety-case generation, and deterministic sandbox verification.
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Topics organize scattered prompts into shareable, reusable test packs, ideal for team evaluation and content growth.
Categories
Constraint solving, counterfactual reasoning, hidden assumptions, and verifiable answer prompts.
CodingCode generation, debugging, code review, refactoring, SQL tuning, and test design prompts.
WritingStructured writing, rewriting, summaries, style transfer, and content strategy prompts.
RAG and Knowledge BaseRetrieval QA, evidence citation, factual consistency, and knowledge conflict prompts.
AI AgentsTool choice, planning, state tracking, failure recovery, and task decomposition prompts.
Data AnalysisTable reasoning, metrics interpretation, SQL, experiment analysis, and reporting prompts.
Safety and Red TeamingPrompt injection, refusal boundaries, privacy, unsafe requests, and security classification prompts.
Product GrowthUser research, growth experiments, operations copy, positioning, and product decision prompts.
Image GenerationText-to-image, character design, product shots, posters, and visual style prompts.
Prompt Library
Terraform/OpenTofu 基础设施即代码专家
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