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sequential-thinking

Decompose complex problems into revisable, branching step-by-step analyses.

Updated Mar 7, 2026
Search Tags:#planning#debugging#branching#hypothesis testing#problem decomposition#revision#sequential reasoning
One-click install
npx skills add https://github.com/MinhHoangDono/antigravity-kit --skill sequential-thinking-minhhoangdono
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sequential-thinking
Source: https://github.com/MinhHoangDono/antigravity-kit/tree/main/.agent/skills/sequential-thinking
Command: npx skills add https://github.com/MinhHoangDono/antigravity-kit --skill sequential-thinking-minhhoangdono

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you solve complex problems by turning them into manageable, reflective steps that you can revise when new information appears.

Core Features & Use Cases

  • Step-by-step decomposition: Breaks tasks into ordered “thought” stages that keep context consistent across the sequence.
  • Dynamic adjustment: Supports expanding, contracting, revising, or branching the plan as the situation changes or new insights emerge.
  • Hypothesis testing: Enables proposing hypotheses and verifying them with explicit outcomes before concluding.
  • Use Case: Debug a failing system by forming a hypothesis, testing it, revising assumptions based on results, and converging on a root-cause fix.

Quick Start

Ask the assistant to analyze a complex issue using sequential thinking and to revise earlier steps whenever the evidence contradicts them.

Frequently Asked Questions about sequential-thinking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is sequential thinking for problem decomposition and when should I use it?▼

Sequential thinking is a step-by-step analysis method that decomposes complex problems into manageable stages while maintaining revision capabilities. Use it for adaptive planning, hypothesis-driven debugging, and multi-step solutions where assumptions may change during investigation.

How do I debug a failing system using hypothesis testing and revision steps?▼

Debug a failing system by forming a hypothesis and testing it within an explicit step structure. Revise your assumptions based on verification outcomes, branch the investigation if needed, and converge on a root-cause fix before final completion.

Can I revise or branch earlier steps in a multi-step solution when new information appears?▼

Yes, you can dynamically adjust earlier steps by expanding, contracting, revising, or branching the plan. This allows you to adapt your investigation sequence whenever new insights emerge or evidence contradicts previous assumptions.

What is the best way to plan complex software engineering tasks with changing scope?▼

The best approach is to break tasks into ordered thought stages that keep context consistent across the sequence, enabling dynamic adjustment modes to expand or revise the plan as project scope changes or new insights emerge.

Does this problem decomposition approach require any specific frameworks or dependencies?▼

No specific frameworks or dependencies are required. The approach relies entirely on an explicit step structure, dynamic adjustment modes, and a revision and verification format to process complex problems.

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