Results for “chain-of-thought”

Learn and apply prompt engineering techniques for LLMs, image generators, and video models using the inference.sh CLI.

Scaling Instruction-Finetuned Language Models

Simulates a multi-perspective deliberation council to explore complex questions, decisions, or creative challenges from diverse thinking archetypes.

Brain Dump Journaling

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Slow down interpretation from observation to action. Use when students or adults need to examine assumptions in conflict, dialogue, or inquiry.

当需要获取独特信息源以产生差异化想法时

Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.

Orchestrate a full theory-first idea discovery pipeline. Use when the user wants the analysis counterpart of idea-discovery: literature context, proof-oriented idea generation, novelty checking, DeepSeek critique, and an analysis plan instead of an experiment-first workflow.

Use as the entry point for any Mind (philosophy journal) article. Routes to the right Mind sub-skill based on where you are in the lifecycle and whether the piece is an article, discussion note, book review, or critical notice. Mind is analytic philosophy — argument, not data — so the router's first job is to confirm there is a sharp thesis and a sound argument. It dispatches; it does not draft content.

Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task. Use when developing students' thinking-about-thinking during independent work.

Transforms unstructured streams of mixed thoughts, tasks, and ideas into a clean four-section actionable system with zero information loss.

当面临信息过载或想法过多，需要筛选出值得投入资源（时间、精力）去执行的高价值想法时

实现问题分析和技能调用的完整思考链路，支持AI快速识别和调用合适的技能。

当需要在写作中与读者建立情感连接、放大问题严重性，并引出后续解决方案时

当需要从现有内容中创造新意，或避免内容同质化时

Analyze complex systems through stocks, flows, and feedback loops to find high-leverage interventions. For organizational, environmental, social, and technical systems exhibiting circular causality. NOT for linear problems or simple cause-effect chains.

End-to-end content creation pipeline from research through editorial review to social distribution. Orchestrates a 3-stage workflow: research, draft/edit, and distribute. Supports blog posts, LinkedIn, Twitter threads, newsletters, and essays.

Forces unrelated concepts together to spark novel solutions and emergent properties.

Cognitive enhancement toolkit combining non-linear reasoning, mental models, and literate programming. Use for complex analysis, system design, debugging, deep learning, and research workflows.

当需要建立可持续的创造节奏，将灵感转化为行动时

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

smart-output

Composite skill — query, capture, improve, and persist knowledge in one workflow. Chains recall (RAG query) → sync-memories (write durable note) → rag-curate (improve weak retrievals) → handoff (durable snapshot if session-ending). Use when the work involves "what did we decide", "remember this", "save where we are", or any closing checkpoint.

当个体在数字环境中困惑于自身角色（消费vs创造），或认为吸引注意力不道德时

Interviews users relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree.

当感到生活迷茫、停滞不前，需要理解当前所处阶段并规划下一步行动时

Facilitates a multi-perspective discussion on Austrian economics between Hayek, Mises, and Claude, analyzing user questions through their distinct philosophical lenses.

Adopts the perspective and thinking framework of Justin Sun, using his mental models, decision heuristics, and communication style to analyze crypto industry topics and business decisions.

Stress-test ideas, plans, and decisions using structured critical reasoning across five modes: Socratic questioning, dialectic, pre-mortem, red teaming, and evidence audit.

Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.

Use this skill for any creative writing task involving narrative, character, story structure, or franchise development. Triggers: building or tracking characters, designing plots, writing scenes or chapters, organizing a story universe, developing motifs or themes, building a series or franchise bible, tracking character arcs, resolving plot gaps, or any request to write or develop fiction at any scale — from a single moment to a multi-story cluster. This skill operates like a narrative OS: it tracks state, identifies gaps, organizes hierarchy, and generates content that is consistent with the established world.