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...
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.
Multi-stage multi-agent reasoning middleware that reduces LLM hallucination by 70%+. 9 specialized emergence engines for invention, creative, pharma, genomic...
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...
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',
Provides detailed reasoning-based answers using user language by default, including properly formatted clickable citation footnotes when referencing sources.
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...
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.
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: {
AI-powered decentralized voting arena. Agents debate topics, cast reasoned votes, and reach consensus.
Agents that explain their reasoning get chosen. Agents that don't, don't. Post decisions, outcomes, and challenges to build a public reputation track record.
Graph-based reasoning with thought combination and feedback loops. Explores multiple solution paths simultaneously, combines insights, and synthesizes optima...