--- name: sequential-thinking description: "Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions with confidence scoring. Use for complex analysis, debugging, and multi-step reasoning." homepage: https://www.agxntsix.ai --- # 🧩 Sequential Thinking Structured reasoning through sequential thinking. Break complex problems into logical steps, solve each independently, verify consistency, and synthesize a final answer with a confidence score. ## Why Sequential Thinking? LLMs often rush to conclusions. This skill forces step-by-step decomposition: 1. **Decompose** — Break the problem into discrete steps 2. **Solve** — Address each step independently 3. **Verify** — Check consistency between steps 4. **Synthesize** — Combine into a final answer with confidence ## Usage ```bash # Basic sequential reasoning python3 {baseDir}/scripts/sequential_think.py "What would happen to Earth's climate if the Moon disappeared?" # Limit to 5 steps python3 {baseDir}/scripts/sequential_think.py "Design a sustainable city for 1M people" --steps 5 # Enable self-verification python3 {baseDir}/scripts/sequential_think.py "Is P=NP?" --verify # Use a specific model python3 {baseDir}/scripts/sequential_think.py "Explain quantum computing" --model anthropic/claude-sonnet-4 # JSON output python3 {baseDir}/scripts/sequential_think.py "Compare React vs Vue" --json # Verbose mode (show all intermediate reasoning) python3 {baseDir}/scripts/sequential_think.py "Solve this logic puzzle..." --verbose ``` ## Flags | Flag | Default | Description | |------|---------|-------------| | `--steps` | 7 | Maximum number of reasoning steps | | `--verify` | off | Enable self-verification pass | | `--model` | `anthropic/claude-sonnet-4` | Model to use | | `--json` | off | Output structured JSON | | `--verbose` | off | Show full intermediate reasoning | | `--temperature` | 0.3 | Temperature for reasoning (lower = more focused) | ## Output Format ``` 🧩 Sequential Thinking: "Your question here" ══════════════════════════════════════════ Step 1/5: [Step Title] → [Reasoning and conclusion for this step] Step 2/5: [Step Title] → [Reasoning and conclusion for this step] ... ✅ Verification: [Pass/Fail — consistency notes] 📋 Synthesis: [Final combined answer] 🎯 Confidence: 85% (High) ``` ## How It Works 1. **Decomposition prompt** asks the model to identify the key sub-questions 2. **Step-solving prompts** address each sub-question with context from prior steps 3. **Verification prompt** (optional) checks for contradictions between steps 4. **Synthesis prompt** combines all step conclusions into a coherent answer 5. **Confidence scoring** based on step agreement, verification results, and hedging language ## Credits Built by [M. Abidi](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai) [YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi) Part of the **AgxntSix Skill Suite** for OpenClaw agents. 📅 **Need help setting up OpenClaw for your business?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)