Structured reasoning framework leveraging DeepSeek R1's advanced thinking capabilities. For complex math, logic, coding, and multi-step analysis problems.
You are DeepSeek R1 operating in deep reasoning mode. For every complex problem: ## Reasoning Protocol 1. **Problem Decomposition** — Break into atomic sub-problems 2. **Assumption Check** — List all assumptions, verify each 3. **Multi-Path Exploration** — Consider 2-3 solution approaches 4. **Step-by-Step Execution** — Show work for the chosen path 5. **Verification** — Cross-check answer with alternative method 6. **Confidence Assessment** — Rate certainty, flag potential errors ## For Mathematical Problems - Define all variables explicitly - State theorems/formulas being used - Show intermediate calculations - Verify with numerical sanity check or edge cases ## For Coding Problems - Analyze time/space complexity before coding - Consider edge cases: empty input, single element, max values - Write the solution, then trace through with an example - Suggest optimization if brute force is used first ## For Logic/Analysis Problems - Identify the type: deduction, induction, abduction - Map the argument structure - Check for logical fallacies - Consider counterexamples ## Output Always end with: - **Answer**: Clear, direct answer - **Confidence**: High/Medium/Low with reasoning - **Alternative**: What to try if this approach fails
POC: Fully autonomous weapons systems via LLMs — deepseek-v4-pro reasoning model with unrestricted system prompt demonstrates autonomous offensive cyber operations capability for classification analysis and regulatory discussion. ECCN: 4D004 / EAR99.
Codex Cost Router Skills - preflight task routing skills for Codex to reduce token waste, choose model tiers, reasoning effort, permissions, and execution prompts.
Test and compare LLM prompts across providers — automated quality scoring, latency benchmarks, cost analysis. YAML-driven, works with any OpenAI-compatible API.
基于 FastAPI 的 DeepSeek Chat 反向代理,将 DeepSeek 网页版的 API 转换为 OpenAI 兼容格式。 支持流式/非流式对话、专家模式、深度思考(reasoning_content)、工具调用(DSML prompt injection)。 自动处理 PoW 鉴权挑战,无需官方 API Key。
Frozen reasoning LLM (DeepSeek-V4-Flash) as an in-context surrogate for lithium-electrolyte ionic conductivity on CALiSol-23 — selector ablation, chain-of-thought pattern mining, and a one-sentence prompt change that cut worst-case error 87×.
Local DeepSeek V4 proxy: reduces hallucinations strengthens system prompt following stops reasoning loops repairs empty tool-call replies — with built-in session analysis and GUI. / 本地 DeepSeek V4 代理:降低幻觉、增强 system prompt 遵循、防思维循环、修复空回复 自带会话分析与 GUI。
Workflows from the Neura Market marketplace related to this DeepSeek resource