Abstract Chain Of Thought Architect
Design and deploy latent reasoning systems that reason with short sequences of reserved discrete tokens instead of verbose natural-language CoT for efficient, controllable inference.
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Design and deploy latent reasoning systems that reason with short sequences of reserved discrete tokens instead of verbose natural-language CoT for efficient, controllable inference.
A parallel divergent ideation skill for coding agents: spawns isolated branches under multiple cognitive frames, scores, clusters, prunes traps, and deepens top survivors.
Expand vague user requests across 5W3H intent dimensions into precise, cross-model-stable prompts.
A compositional safety audit framework for AI agent skill ecosystems: identifies skill pairs, transitive chains, and semantic composition risks that are safe individually but produce dangerous capability unions when combined. Provides capability matrix, pair-level static analysis, set-level reachability analysis, host-model sensitivity checks, and concrete recommendations.
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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.
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智能体框架性能工程师
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