ck:sequential-thinking

Structure complex problems into sequential thought sequences for multi-step reasoning.

Updated May 10, 2026
One-click install
npx skills add https://github.com/dthuy62/kollet-app --skill ck-sequential-thinking-dthuy62
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:sequential-thinking
Source: https://github.com/dthuy62/kollet-app/tree/main/.opencode/skills/sequential-thinking
Command: npx skills add https://github.com/dthuy62/kollet-app --skill ck-sequential-thinking-dthuy62

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you work through complex problems in a disciplined sequence, so you can reason clearly, correct mistaken assumptions, and stay organized across multiple steps.

Core Features & Use Cases

  • Step-by-step reasoning: Break difficult tasks into manageable thoughts with a clear progression.
  • Revision and branching: Correct earlier reasoning when new information appears and explore alternate paths when needed.
  • Verification and convergence: Test hypotheses, compare options, and finish with a confident conclusion.
  • Use cases: Debugging, architecture decisions, adaptive planning, root-cause analysis, and any problem with uncertain scope.

Quick Start

Use the sequential-thinking skill to break down your problem step by step, revising or branching your reasoning whenever new information changes the path forward.

Frequently Asked Questions about ck:sequential-thinking

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

FAQPage Schema
How do I break down complex debugging tasks into manageable steps?

Break down complex debugging tasks by structuring the problem into a sequential thought sequence, allowing you to reason step by step, revise mistaken assumptions, and track persistent history for clearer root-cause analysis.

What is the best way to handle adaptive planning when project scope is uncertain?

Adaptive planning under uncertain scope benefits from sequential reasoning, letting you branch alternate paths, test hypotheses as new information appears, and converge on a confident architectural decision through multi-step verification.

Can I revise earlier reasoning and explore branching paths during problem decomposition?

Yes, you can revise earlier reasoning and explore branching paths during problem decomposition, applying hypothesis verification and adaptive planning to correct assumptions and compare options when new information changes the path forward.

Does sequential thinking support hypothesis verification for architecture decisions?

Sequential thinking supports hypothesis verification for architecture decisions by formatting thought output, tracking persistent history, and comparing options throughout multi-step reasoning to reach a confident, verified conclusion.

When should I use step-by-step reasoning instead of direct problem solving?

Use step-by-step reasoning for multi-step problems with uncertain scope, such as root-cause analysis or architecture choices, where revising assumptions, branching alternatives, and tracking persistent history are needed to reach a confident conclusion.