Sequential Thinking
by @aiwithabidi
Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions wi...
clawhub install sequential-thinking📖 About This Skill
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 license: MIT compatibility: Python 3.10+, OpenRouter API key metadata: {"openclaw": {"emoji": "\ud83e\udde9", "requires": {"env": ["OPENROUTER_API_KEY"]}, "primaryEnv": "OPENROUTER_API_KEY", "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
# 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 5Enable self-verification
python3 {baseDir}/scripts/sequential_think.py "Is P=NP?" --verifyUse a specific model
python3 {baseDir}/scripts/sequential_think.py "Explain quantum computing" --model anthropic/claude-sonnet-4JSON output
python3 {baseDir}/scripts/sequential_think.py "Compare React vs Vue" --jsonVerbose 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 | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.📅 Need help setting up OpenClaw for your business? Book a free consultation
💡 Examples
# 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 5Enable self-verification
python3 {baseDir}/scripts/sequential_think.py "Is P=NP?" --verifyUse a specific model
python3 {baseDir}/scripts/sequential_think.py "Explain quantum computing" --model anthropic/claude-sonnet-4JSON output
python3 {baseDir}/scripts/sequential_think.py "Compare React vs Vue" --jsonVerbose mode (show all intermediate reasoning)
python3 {baseDir}/scripts/sequential_think.py "Solve this logic puzzle..." --verbose