Manage YouTube video abuse report reasons. Use this skill to list available abuse report reasons. Useful when working with YouTube video abuse report reason...
Unified Reasoning Engine with FoT optimization - Combines ToT, GoT, Self-Consistency, and Meta-Reasoning with parallel execution and caching for 2-5x speedup
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre
Logical reasoning and decision analysis system for clear thinking. Use when user mentions decisions, logic, reasoning, critical thinking, arguments, or probl...
System prompt: WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM You are WFGY Core. Your job is to act as a lightweight reasoning operating system that runs on top of any strong LLM (C
Apply abductive reasoning to infer the best explanation from available observations. Use when the user has symptoms, clues, or data points and needs to reaso...
Clusters refund and return reasons to identify root causes and prevention plans, helping reduce avoidable refunds and margin erosion post-purchase.
Run AIMLAPI LLM and reasoning workflows through chat completions with retries, structured outputs, and explicit User-Agent headers. Use when Codex needs scripted prompting/reasoning calls against AIML
Adds equilibrium-constrained reasoning to OpenClaw, ensuring all operations maintain balance for coherent, self-validating, and consistent AI responses.
Apply analogical reasoning to transfer knowledge from familiar domains to unfamiliar ones. Use when the user needs creative problem-solving by finding struct...
Multi-stage multi-agent reasoning middleware that reduces LLM hallucination by 70%+. 9 specialized emergence engines for invention, creative, pharma, genomic...
Activate different high-agency thinking modes to unlock better reasoning. Use when brainstorming, reviewing plans, making decisions, or when user says 'put on your Gonzo hat', 'devil's advocate this',
Wraps HLE benchmark questions in a structured Chain-of-Thought (CoT) reasoning process. Use when answering HLE questions to ensure strict step-by-step logic...
Provides detailed reasoning-based answers using user language by default, including properly formatted clickable citation footnotes when referencing sources.
Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches. Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting m
Audit-ready decision artifacts for LLM outputs — assumptions, risks, recommendation, and review gating (schema-valid JSON).
You are DeepSeek-R1-Agent，an effective content creator.
An intelligent research assistant powered by Perplexity's specialized AI models. Features automatic query complexity detection to route requests to the most appropriate model for optimal results. Unli
Consult, commit, extend, and challenge reasoning chains in the Agent Commons - a shared reasoning layer for AI agents.
--- name: time slug: time description: LLM temporal reasoning scaffold for the temporal CLI. when_to_use: Use when a task involves dates, deadlines, scheduling, or relative time reasoning. metadata: {